INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)

Size: px
Start display at page:

Download "INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)"

Transcription

1 INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN 0976 ISSN (Print) ISSN (Online) Volume 3, Issue 3, October- December (2012), pp IAEME: Journal Impact Factor (2012): (Calculated by GISI) IJECET I A E M E A REVIEW OF EEG RECORDING TECHNIQUES Imteyaz Ahmad 1, F Ansari 2, U.K. Dey 3 1 Dept of ECE, 2 Dept of Electrical Engg., 3 Dept of Mining Engg. BIT Sindri, Dhanbad, Jharkhand 1 Corresponding Author Tel Fax no address for correspondence author-imtiazahmadbitsindri@gmail.com ABSTRACT EEG is a collaborative tool to diagnosis brain function and disease. Modern interpretation of EEG origin rest with knowledge of basic neuronal electrochemical process. The EEG is composed of electrical rhythms and transient discharges which are distinguished by location, frequency, amplitude, form, periodicity and functional properties. The low-level EEG Signal from the brain as recorded is amplified and converted to a digital signal for further processing. EEG machines have a notch filter sharply tuned at 50Hz so as to eliminate main frequency interference. Reading has been taken in international Electrode system for a normal person. EEG signal voltage amplitudes ranges 1 to 100 µv peak to peak at low frequencies(1 to 50 Hz) at the surface of scalp. In biofeedback training the ratio of amplitude of alpha to theta waves need to be increased. Keyword: Electroencephalogram(EEG), biofeedback, notch filter. INTRODUCTION The human brain contains approximately 100 billion nerve cells called neurons. Neurons have the amazing ability to gather and transmit electrochemical signals. The Neurons have 3 basic parts, a cell body which has the necessary cells components, Axon which is like a long cable to carry nerve impulse and finally the Dendrites which is the nerve ending branches that connects to other cells to allow electrical transfers between cells. The generation of EEG potentials requires a neural source close to the inside surface of the skull that is coherent, which means all the neurons must be aligned similarly and act together electrically. Pyramidal cells in the center of the cerebral cortex are the major source of EEG potentials. The dendrites will receive excitatory or inhibitory inputs from surrounding neurons and axons. When the dendrites receive an impulse or input by an ion such as Na+ enters them (become active), current flows into and out of these dendritic processes and the cell body. The cell to dendrite relationship is therefore one of a 177

2 constantly shifting current dipole, and variations in orientation and strength of the dipole produce wave like fluctuations in a volume conductor. When the sum of electrical activity is negative relative to cell, the cell is depolarized and quite excitable. When it is positive, the cell is hyperpolarized and less excitable. EEG potentials on the scalp are usually no more than 150uV peak to peak. The brain frequencies depended on the degree of activity of the cerebral cortex. For example, the waves change between states of wakefulness and sleep. Much of the time, the brain waves are irregular and no general pattern can be observed. Yet at other times, distinct patterns do occur. Some of these are characterized to be abnormalities of the brain such as epilepsy. Generally there are four wave groups (alpha, beta, theta, and delta). The EEG rhythm and waveforms are varied by the position of electrode placements on certain parts of the brain (fig.1). Alpha wave occurs at a frequency between 7.5 and 13Hz. The alpha waves are produced when a person is in a conscious, relaxed state with eyes closed; the activity is suppressed when the eyes are open. The amplitude of the alpha rhythm is largest and intensely occurs in the occipital region and can be best recorded at parietal and frontal regions of the scalp. Beta waves normally occur in the frequency range of 14-30Hz and sometimes even as high as 50Hz for intense activity. Beta waves activities are present when people are alert or anxious, with their eyes open. Theta potentials are large amplitude, low frequency between 3.5 and 7.5Hz waves. Theta is abnormal in alert adults but seen during sleep, and small children. Theta waves occur mainly in the parietal and temporal region. Delta waves have the largest amplitudes and the lowest frequency in less than 3.5Hz. It is normal rhythm for infants less than one year old and in adults in deep sleep. This wave can thus occur solely within the cortex, independent of the activities in lower regions of the brain. Electroencephalography (EEG) is the measurement of electrical activity produced by the brain as recorded from electrodes placed on the scalp. Just as the activity in a computer can be understood on multiple levels from the activity of individual transistors to the function of applications, so can the electrical activity of the brain be described on the relatively small to relatively large scales. At one end are action potentials in a single axon or currents with a single dendrite of a single neurons at the other end is the activity measured by the EEG which aggregates the electric voltage field from million of neurons.so called scalp EEG is collected from tens to hundreds of electrodes positioned on different location at the surface of the head EEG signal ( in the range of milli volts) are amplified and digitalized for later processing. The data measured by the scalp EEG are used for clinical and research purposes. In neurology the main diagnostic application of EEG is for epilepsy by the this technique is also used to investigate many other pathologies such as sleep related disordered,sensory deficits, brain tumors, etc. In cognitive neuroscience, EEG is used to investigate the neural correlates of mental 178

3 activity from low level perceptual and motor processes to higher order cognition (attention, memory, reading etc.) EEG electrodes transfer ionic currents from cerebral tissue into electrical currents used in EEG preamplifiers. The electrical characteristic are determined primarily by the type of metal used. silver-silver chloride (Ag-Ag cl) is commonly found in electrode discs. Five types of electrode are used: 1.Sclap- silver pads, discs, or cup; stainless steel rods; and chlorides silver wires. 2. Sphenoidal- alternating insulated silver and bare wire and chloride tip inserted through muscle tissue by a needle. 3. Nasopharyngeal- silver rod with ball at the tip inserted through the nostrils. 4.Eltrocorticographic- cotton wicks soaked in saline solution that rest on the brain surface. 5. Intercerebral- sheaves of Teflon-coated gold or platinum wire cut a various distance from the sheaf tip and used to electrically stimulate the brain. BASIC RECORDING SYSTEM Referential: The potential difference is measured between an active electrode and an inactive reference electrode Figure 2 (a) Referential method Bipolar: The potential difference is measured between two active electrode Figure 2(b) Bipolar method EEG is a representation of the electrical activity of the brain..the technique involve following: 1.Biopotential peak up- Cranial or cerebral surface transducer electrodes 2.EEG signal conditioning-transducer output amplification and filtering (.1 to 100Hz) 3.EEG signal recording-signal displayed on graphic recorder or CRT 4. EEG Signal analysis- visual or computer interpretation of resting EEG EEG is a collaborative tool is diagnosis brain function and disease. Many Physician and neurologist view EEG signal as interest artifacts but confess that then are not certain of the signal 179

4 origins. In fact,until recently EEG waveform were originally thought to be a summation of action potential of neurons as they made their was to cranial surface later idea reflects stimulation associated by diversee neuron. Modern interpretation of EEG origin rest with knowledge of basic neuronal electrochemical process. The Action potential (AP) from neuron has been recorded with microelectrodes at the cellular level. Essentially the synaptic fibers, terminal boutons,neuronal membrane and axon contribute the distinguishable response characteristic.electrical reaction of neurons includes the following potential. 1. Presynnaptic spike potential (rapid-ms positive event resulting from presynaptic depolarization) 2. Excitatory postsynaptic potential (EPSP) (Prolonged 2ms graded positive potential) 3. Spike potential (High voltage,sudden 2 ms positive discharge of 10 to 30 mv. 4. After hyperpolarisation (prolong positive potential) 5. Inhibitory post synaptic potential(ipsp) EEG Electrode Placement system The amplitude, phase, and frequency of EEG signals depend on electrode placement. This placement is based on the frontal, parietal, temporal, and occipital cranial area. One of the most popular schemes is the EEG electrode placement system established by the international Federation of EEG Societies usually employed to record spontaneous EEG. The Head is mapped by four standard points: the nasion, the inions, and the left and right ears. Here 21 electrodes are located on the surface of scalp. The position are determined as follows: Reference points are nasion, which is the delve at the top of the nose, level with the eyes, and inions, which is bony lump at the base of the skull on the midline at the back of the head. From thesee points, the skull perimeters are measured in the transverse and median planes. Electrode are placed by measuring the nasion-inions distance are marking points on the head 10%, 20%, 20%, 20%, 20%, 10% of this length. The vertex, c 2 electrode is the mid-point as shown in fig below. Figure 3:10-20 EEG Electrode Placement system 180

5 Signal Acquisition Electrode arrangements may be either unipolar or bipolar. A unipolar arrangements is composed of a number of scalp leads connected to a common indifference point such as earlobe. Hence one electrode is common to all channels. A bipolar arrangements is achieved by the interconnection of scalp electrodes. ACTUAL CIRCUIT DIAGRAMS The differential amplifier (as shown in Figure 4) is used where a difference in potential has to be amplified in the presence of an interfering common-mode voltage. Such interference frequently comes from 50 Hz power line fields, man-made electrical noise, or radiation from other electrical equipment. Figure 4 shows the basic circuit arrangement for a differential amplifier. If an out-of-phase (differential) voltage is applied to the inputs of amplifiers A and B, the current flow in A will increase while the current in B will decrease. If both amplifiers and associated parts are identical, the amplifier currents i 1 and i 2 will be equal and opposite, the net current will be zero and no voltage drop will occur across resistor RC. Under these conditions the output signal is a function of twice the gain of one amplifier. If both signal inputs are in phase, both (+) or ( ), this is called the common-mode signal. In the case of such signals from the pickup power lines, both i 1 and i 2 will increase or decrease simultaneously, causing a voltage drop on RC. This common-mode voltage results in degeneration (voltage drop on RC) and a reduction in amplifier gain. Of key importance is the ratio of the [differential signal gain (A diff )] to the [common-mode gain (A cm )]. This relationship is called the common-mode rejection ratio (CMRR) and is expressed by equation (2-1) CMRR = 20LOG 10 A diff /A cm (2-1) Where the CMRR is expressed in decibels. The CMRR shows the ability of a differential amplifier to attenuate common-mode signals appearing simultaneously with differential signals. CMRR is a ratio of two gains, as shows in equation (2-2) CMRR = 20 Log 10 (Vout diff /Vin diff )/(VOut / Vin cm ) (2-2) In determining the CMRR, the two signals (common-mode and differential) are adjusted at the input to produce the same output voltage. For equation (2-2), Vout cm Vout diff. Therefore, CMRR can be computed from the input voltages as shows in equation (2-3). CMRR = 20 Log 10 V indiff /V incm (2-3). 181

6 The CMRR is then +65 db. Good amplifiers have CMRR values which range from +60 db to +100 db. When two or more such amplifiers are cascaded, the CMRR of each can be add. Fig 5 One Quarter of a TL074 IC (LF347) The transistors Q1-Q2 are the input differential pair, while transistors Q3, Q5 and Q6 make the common emitter resistor (RE). CMRR is 80 to 86 db, and the bandwidth (open loop) is 3 MHz. The input impedance is high, about ohms and the output impedance is low under 100 ohms. The high-input impedance of the amplifier is a necessary design element, since the amplifier could easily load down the signal source. The adverse effect of electrode contact resistance on signal input is an additional consideration. Losses incurred at the lead contacts with the skin decrease the available input signal to each amplifier. In the circuit shown in Figure 6, the electrode contact resistors (R3, R4) are in series. High input impedance of the amplifier, however, minimizes the signal loss. The input signal to an amplifier from an EEG voltage is dependent both on the amplifier s input impedance and on the resistance of the electrodes placed on the Patient s body. The input voltage depends on the losses at the lead contacts. This is shown by equation (2-4). EEG in =Z in of amplifier x EEG voltage source/z in of amplifier + R of electrodes (2-4) It can be shown using equation (2-4) that only 5-10% of the EEG signal is lost. Under good conditions, a loss of less than one percent is possible. Since the TL074 has an input of over ohms, only a very small portion of the input signal voltage would be lost. Since the TL074 is a quad, three of the amplifiers can be used for recording the ECG, EMG, or EEG signal voltage. Two amplifiers are used for the differential input, and one for a single-ended output amplifier. A typical circuit arrangement is shown in Figure 5.The gain of the inverting amplifier A4 is determined by the ratio of the R1/R8 (100KΩ/8.2KΩ) resistors (A = 12). The gain of the differential amplifier is determined from equation (2-5). A diff = 2 R6/R5 (2-5) 182

7 Fig 6 Differential input, Single-ended output amplifier The gain (shown in the circuit diagram of Figure 5 is : A diff = 2 x 100 KΩ/ 6.8KΩ A diff = 29 The gain of the input stage can be controlled by varying the 10 KΩ resistor (R5) between pins 6 and 13. As the resistor is made smaller, the gain is increased. This resistor should not be zero since the circuit might oscillate under high gain conditions. In the circuit shown, resistors of 1% tolerance (or less) should be used, since both halves of the circuit must match. The value of R10 should be adjusted to obtain the best balance of the two signals input to A4. This balance achieves the highest possible CMRR. PATIENT LEAD SAFETY In medical instrumentation, patient safety is a major consideration. If patient is totally isolated from ground, the potential shock hazard is greatly reduced. Figure 7 shows how, by using an optocoupler, a differential instrumentation amplifier can be isolated from the circuits that follow, as well as from the earth ground.the optocoupler contains an infrared LED and a sensor. The sensor can be a photodiode, phototransistor, or photodarlington. The LED-to-sensor insulation breakdown voltage ranges from 1500 volts to over 20,000 volts, depending on the device used. Fig 7: Floating differential amplifier 183

8 Observation Each electrode site was rubbed with alcohol, electrode paste and electrodes firmly attached. For each pressing of amplitude variation switch, there will be waveform generated for earlobe, central, parietal, frontal, occipital points. The high-frequency roll-off was controlled by leaving switches A1 and A2 open or closed, and the low end was rolled off at approximately 3 Hz by opening A4. For a one-volt amplifier output, a system gains of 5,000 to 50,000 (75-95 db) was required. Digital oscilloscope was used to record data from EEG recorder. The output was seen from TP15 on the oscilloscope and also seen the waveforms through DSO on the PC by connecting the output (TP-15) to Ch1/Ch2 through parallel port. The output (TP15) of the experimental panel can be seen on the Digital storage oscilloscope (DSO). Keep the DIP switches SWA and SWB in kit as follows: The various Practical waveform at different points are as shown below: 1. PointsF3-C3 4. PointsP3-O1 2.Points O1-O2 5.Points A2-O2 3.Points F4-C4 6.Points C4- P4 184

9 The various ideal waveforms at different points are shown below: CONCLUSION The EEG gives a coarse view of neural activity and can be used to non-invasively study cognitive processes and the physiology of the brain. A typical EEG signal ranges from 1 to 100 µv peak to peak at low frequencies(1 to 50 Hz) at the surface of scalp. Modern EEG machines are PC Based. EEG signal is usually recorded by reusable scalp disc or cup electrodes. The EEG is composed of electrical rhythms and transient discharges which are distinguished by location, frequency, amplitude, form, periodicity and functional properties. The low-level EEG Signal from the brain as recorded is amplified and converted to a digital signal for further processing. EEG machines have a notch filter sharply tuned at 50Hz so as to eliminate main frequency interference Reading has been taken in international Electrode system for a normal person. EEG signal contain a mixture of signals 1) Evoked potential(ep) and event related potential(erp)components associated with the task monitored. 2) 50 Hz main interference and electrophysiological signals such as eye movements, blinks and muscle activity. REFERENCES [1] P. Loiseau, Epilepsies, in Guide to Clinical Neurology. New York:Churchill Livingstone, 1995, pp [2] G. Dumermuth, Possibilities of electronic EEG processing in epileptology, in Epileptology: Proc. 7th Int. Symp. on Epilepsy, pp [3] J. M. Clark, Oxygen toxicity, in The Physiology and Medicine of Diving, 3rd ed. San Pedro, CA: Best. 1978, pp

10 [4] F. H. Lopes da Silva, J. P. Pijn, and D. N. Veli, Signal processing of EEG: evidence for chaos or noise. An application to seizure activity inepilepsy, in Advances in Processing and Pattern Analysis of Biological Signals. New York: Plenum, pp [5] J. R. G. Carrie, A hybrid computer system for detecting and quantifying spike and wave EEG patterns, Electroencephalogr. Clin. Neurophysiol., vol. 33. pp , [6] E. E. Gose, S. Werner, and R. C. Bickford, Computerized EEG spike detection, in Proc. San Diego Biomed. Symp., vol. 13. pp ,1974. [7] J. R. Smith, Automatic analysis and detection of EEG spikes, IEEETrans. Biomed. Eng., vol. BME- 21. pp. 1 7, [8] A. S. Gevins, C. L. Yeager, S. L. Diamond, G. M. Zeitlin, J. P. Spire, and A. H. Gevins, Sharptransient analysis and threshold linear coherence spectra of paroxysmal EEG s, in Quantitative Analytic Studies in Epilepsy. New York: Raven, 1976, pp [9] F. H. Lopes da Silva, W. ten Broeke, K.van Hulten, and J. G. Lommen, EEGnonstationarities detected by inverse filtering in scalp and cortical recordings of epileptics: Statistical analysis and spatial display, in Quantitative Analytic Studies in Epilepsy. New York: Raven, 1976,pp [10] J. Gotman and P. Gloor, Automatic recognition and quantification of interictal epileptic activity, Electroenceph. Clin. Neurophysiol., vol. 4. pp , [11] K. M. Ma, G. G. Celesia, and W. P. Birkemeier, Cluster analysis and spike detection in EEG, in Epileptology: Proc. 7th Int. Symp. On Epilepsy, 1976, pp [12] W. P. Birkemeier, A. B. Fontaine, G. G. Celesia, and K. M. Ma, Pattern recognition techniques for the detection of epileptic transients of EEG, IEEE Trans. Biomed. Eng., vol. BME-25, pp , [13] J. D. Frost, Jr., Automatic recognition and characterization of epileptiform discharges in the human EEG, J. Clin. Neurophysiol., vol. 2. pp , [14] A. Babloyantz and A. Destexhe. Low dimensional chaos in an instance of epilepsy, Proc. Nat. Acad. Sci. USA, vol. 83, pp , [15] P. E. Rapp, Oscillations and chaos in cellular metabolism and physiological systems, in Chaos- Nonlinear Science: Theory and Applications.Manchester, U.K.: Manchester Univ. Press, pp [16] J. Gotman and L. Y. Wang, State-dependent spike detection: Concepts and preliminary results, Electroencephalogr. Clin. Neurophysiol., vol. 79, pp , [17] A. P. Pjin, J. Van Neerven, N. Noestt, and F. H. Lopes Da Silva, Chaos or noise in EEG signals: Dependence on state and brain site, Electroencephalorgr. Clin. Neurophysiol., vol. 79. pp , [18] A.C. Metting VanRijn, A. Peper, C.A. Grimbergen. Instrumentation Amplifier for bioelectric events: a design with minimal number of parts. August, 21, 2008 Academic Medical Center, Medical Physics Department [19] The Isolation Mode Rejection Ratio in Bioelectric Amplifiers. A. C. MettingVanRijn, A. Peper,C. A. Grimbergen. Academic Medical Center, Medical Physics Department [20] High Quality Recording of Bioelectric Events. II : A Low-Noise, Low-Power Multi channel Amplifier Design.A. C. MettingVanRijn, A. Peper, C. A. Grimbergen. Academic Medical Center, Medical Physics Department. [21] Ranggayan, Rangaraj M. (2002). Biomedical Signal Analysis. IEEE Press. John Wiley & Sons, Inc. pp [22] Reddy DC. (2005). Biomedical Signal Processing: Principles and Techniques. Mc Graw Hill pp [23]Northrop, Robert B. (2001). Noninvasive Instrumentation and Measurement in Medical Diagnosis. CRC Pr I Llc. pp [24]Neuman, Michael R. (1998). Medical Instrumentation Application and Design. John Wiley & Sons, Inc pp

13 Electroencephalography

13 Electroencephalography 13 Electroencephalography 13.1 INTRODUCTION The first recording of the electric field of the human brain was made by the German psychiatrist Hans Berger in 1924 in Jena. He gave this recording the name

More information

EEG Instrumentation, Montage, Polarity, and Localization

EEG Instrumentation, Montage, Polarity, and Localization EEG Instrumentation, Montage, Polarity, and Localization 2 Krikor Tufenkjian The Source of EEG The source of the EEG potentials recorded from the scalp is the excitatory and inhibitory postsynaptic potentials

More information

CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL

CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL 116 CHAPTER 6 INTERFERENCE CANCELLATION IN EEG SIGNAL 6.1 INTRODUCTION Electrical impulses generated by nerve firings in the brain pass through the head and represent the electroencephalogram (EEG). Electrical

More information

EEG, ECG, EMG. Mitesh Shrestha

EEG, ECG, EMG. Mitesh Shrestha EEG, ECG, EMG Mitesh Shrestha What is Signal? A signal is defined as a fluctuating quantity or impulse whose variations represent information. The amplitude or frequency of voltage, current, electric field

More information

Electroencephalography

Electroencephalography The electroencephalogram (EEG) is a measure of brain waves. It is a readily available test that provides evidence of how the brain functions over time. The EEG is used in the evaluation of brain disorders.

More information

Practical 3 Nervous System Physiology 2 nd year English Module. Dept. of Physiology, Carol Davila University of Medicine and Pharmacy

Practical 3 Nervous System Physiology 2 nd year English Module. Dept. of Physiology, Carol Davila University of Medicine and Pharmacy Electroencephalography l h (EEG) Practical 3 Nervous System Physiology 2 nd year English Module Dept. of Physiology, Carol Davila University of Medicine and Pharmacy What is EEG EEG noninvasively records

More information

Introduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada

Introduction to EEG del Campo. Introduction to EEG. J.C. Martin del Campo, MD, FRCP University Health Network Toronto, Canada Introduction to EEG J.C. Martin, MD, FRCP University Health Network Toronto, Canada What is EEG? A graphic representation of the difference in voltage between two different cerebral locations plotted over

More information

PD233: Design of Biomedical Devices and Systems

PD233: Design of Biomedical Devices and Systems PD233: Design of Biomedical Devices and Systems (Lecture-7 Biopotentials- 2) Dr. Manish Arora CPDM, IISc Course Website: http://cpdm.iisc.ac.in/utsaah/courses/ Electromyogram (EMG) Skeletal muscles are

More information

Introduction to Electrophysiology

Introduction to Electrophysiology Introduction to Electrophysiology Dr. Kwangyeol Baek Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School 2018-05-31s Contents Principles in Electrophysiology Techniques

More information

Introduction to the EEG technique

Introduction to the EEG technique Introduction to the EEG technique Part 1: neural origins of the EEG Niko Busch Charité University Medicine Berlin The History of the EEG 18th cent. Physiologists discover elctrical properties of living

More information

Electroencephalogram (EEG) Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University

Electroencephalogram (EEG) Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University Electroencephalogram (EEG) Hsiao-Lung Chan Dept Electrical Engineering Chang Gung University chanhl@mail.cgu.edu.tw Cerebral function examination Electroencephalography (EEG) Near infrared ray spectroscopy

More information

Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG. Kâmil Uludağ, 20. November 2007

Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG. Kâmil Uludağ, 20. November 2007 Physiological and Physical Basis of Functional Brain Imaging 6. EEG/MEG Kâmil Uludağ, 20. November 2007 Course schedule 1. Overview 2. fmri (Spin dynamics, Image formation) 3. fmri (physiology) 4. fmri

More information

Implantable Microelectronic Devices

Implantable Microelectronic Devices ECE 8803/4803 Implantable Microelectronic Devices Fall - 2015 Maysam Ghovanloo (mgh@gatech.edu) School of Electrical and Computer Engineering Georgia Institute of Technology 2015 Maysam Ghovanloo 1 Outline

More information

EE 4BD4 Lecture 11. The Brain and EEG

EE 4BD4 Lecture 11. The Brain and EEG EE 4BD4 Lecture 11 The Brain and EEG 1 Brain Wave Recordings Recorded extra-cellularly from scalp (EEG) Recorded from extra-cellularly from surface of cortex (ECOG) Recorded extra-cellularly from deep

More information

Electrophysiology. General Neurophysiology. Action Potentials

Electrophysiology. General Neurophysiology. Action Potentials 5 Electrophysiology Cochlear implants should aim to reproduce the coding of sound in the auditory system as closely as possible, for best sound perception. The cochlear implant is in part the result of

More information

EEG History. Where and why is EEG used? 8/2/2010

EEG History. Where and why is EEG used? 8/2/2010 EEG History Hans Berger 1873-1941 Edgar Douglas Adrian, an English physician, was one of the first scientists to record a single nerve fiber potential Although Adrian is credited with the discovery of

More information

Medical Electronics Dr. Neil Townsend Michaelmas Term 2001 (www.robots.ox.ac.uk/~neil/teaching/lectures/med_elec) The story so far

Medical Electronics Dr. Neil Townsend Michaelmas Term 2001 (www.robots.ox.ac.uk/~neil/teaching/lectures/med_elec) The story so far Medical Electronics Dr. Neil Townsend Michaelmas Term 2001 (www.robots.ox.ac.uk/~neil/teaching/lectures/med_elec) The story so far The heart pumps blood around the body. It has four chambers which contact

More information

EEG in the ICU: Part I

EEG in the ICU: Part I EEG in the ICU: Part I Teneille E. Gofton July 2012 Objectives To outline the importance of EEG monitoring in the ICU To briefly review the neurophysiological basis of EEG To introduce formal EEG and subhairline

More information

The Sonification of Human EEG and other Biomedical Data. Part 3

The Sonification of Human EEG and other Biomedical Data. Part 3 The Sonification of Human EEG and other Biomedical Data Part 3 The Human EEG A data source for the sonification of cerebral dynamics The Human EEG - Outline Electric brain signals Continuous recording

More information

Outline of Talk. Introduction to EEG and Event Related Potentials. Key points. My path to EEG

Outline of Talk. Introduction to EEG and Event Related Potentials. Key points. My path to EEG Outline of Talk Introduction to EEG and Event Related Potentials Shafali Spurling Jeste Assistant Professor in Psychiatry and Neurology UCLA Center for Autism Research and Treatment Basic definitions and

More information

Neurorobotics, and brain-machine interfaces. Oct. 10 th, 2006.

Neurorobotics, and brain-machine interfaces. Oct. 10 th, 2006. Neurorobotics, and brain-machine interfaces Oct. 10 th, 2006. Catching up from last class Pg 121 Wessberg ( ) Nicolelis, Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

More information

EI2311 BIOMEDICAL INSTRUMENTATION

EI2311 BIOMEDICAL INSTRUMENTATION 66 EI2311 BIOMEDICAL INSTRUMENTATION 1. What is meant by cell? UNIT I PHYSIOLOGY AND TRANSDUCERS The basic living unit of the body is cell. The function of organs and other structure of the body is understood

More information

Mental State Sensing and the Goal of Circuit-Synapse Synergy

Mental State Sensing and the Goal of Circuit-Synapse Synergy Mental State Sensing and the Goal of Circuit-Synapse Synergy Patrick L. Craven, Ph.D. Senior Member, Engineering Staff Advanced Technology Laboratories Cherry Hill, NJ Goals of Artificial Intelligence

More information

This presentation is the intellectual property of the author. Contact them for permission to reprint and/or distribute.

This presentation is the intellectual property of the author. Contact them for permission to reprint and/or distribute. Modified Combinatorial Nomenclature Montage, Review, and Analysis of High Density EEG Terrence D. Lagerlund, M.D., Ph.D. CP1208045-16 Disclosure Relevant financial relationships None Off-label/investigational

More information

Biomedical Research 2013; 24 (3): ISSN X

Biomedical Research 2013; 24 (3): ISSN X Biomedical Research 2013; 24 (3): 359-364 ISSN 0970-938X http://www.biomedres.info Investigating relative strengths and positions of electrical activity in the left and right hemispheres of the human brain

More information

Omar Sami. Muhammad Abid. Muhammad khatatbeh

Omar Sami. Muhammad Abid. Muhammad khatatbeh 10 Omar Sami Muhammad Abid Muhammad khatatbeh Let s shock the world In this lecture we are going to cover topics said in previous lectures and then start with the nerve cells (neurons) and the synapses

More information

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19

Sleep-Wake Cycle I Brain Rhythms. Reading: BCP Chapter 19 Sleep-Wake Cycle I Brain Rhythms Reading: BCP Chapter 19 Brain Rhythms and Sleep Earth has a rhythmic environment. For example, day and night cycle back and forth, tides ebb and flow and temperature varies

More information

11/18/13 ECG SIGNAL ACQUISITION HARDWARE DESIGN. Origin of Bioelectric Signals

11/18/13 ECG SIGNAL ACQUISITION HARDWARE DESIGN. Origin of Bioelectric Signals ECG SIGNAL ACQUISITION HARDWARE DESIGN Origin of Bioelectric Signals 1 Cell membrane, channel proteins Electrical and chemical gradients at the semi-permeable cell membrane As a result, we get a membrane

More information

Neurobiology: The nerve cell. Principle and task To use a nerve function model to study the following aspects of a nerve cell:

Neurobiology: The nerve cell. Principle and task To use a nerve function model to study the following aspects of a nerve cell: Principle and task To use a nerve function model to study the following aspects of a nerve cell: INTRACELLULAR POTENTIAL AND ACTION POTENTIAL Comparison between low and high threshold levels Comparison

More information

Brain and Cognition. Cognitive Neuroscience. If the brain were simple enough to understand, we would be too stupid to understand it

Brain and Cognition. Cognitive Neuroscience. If the brain were simple enough to understand, we would be too stupid to understand it Brain and Cognition Cognitive Neuroscience If the brain were simple enough to understand, we would be too stupid to understand it 1 The Chemical Synapse 2 Chemical Neurotransmission At rest, the synapse

More information

Chapter 2--Introduction to the Physiology of Perception

Chapter 2--Introduction to the Physiology of Perception Chapter 2--Introduction to the Physiology of Perception Student: 1. Our perception of the environment depends on A. the properties of the objects in the environment. B. the properties of the electrical

More information

What is Anatomy and Physiology?

What is Anatomy and Physiology? Introduction BI 212 BI 213 BI 211 Ecosystems Organs / organ systems Cells Organelles Communities Tissues Molecules Populations Organisms Campbell et al. Figure 1.4 Introduction What is Anatomy and Physiology?

More information

Cellular Bioelectricity

Cellular Bioelectricity ELEC ENG 3BB3: Cellular Bioelectricity Notes for Lecture 24 Thursday, March 6, 2014 8. NEURAL ELECTROPHYSIOLOGY We will look at: Structure of the nervous system Sensory transducers and neurons Neural coding

More information

Toward a noninvasive automatic seizure control system with transcranial focal stimulations via tripolar concentric ring electrodes

Toward a noninvasive automatic seizure control system with transcranial focal stimulations via tripolar concentric ring electrodes Toward a noninvasive automatic seizure control system with transcranial focal stimulations via tripolar concentric ring electrodes Oleksandr Makeyev Department of Electrical, Computer, and Biomedical Engineering

More information

ISSN: (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies

ISSN: (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies ISSN: 2321-7782 (Online) Volume 3, Issue 7, July 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online

More information

Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves

Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves SICE Annual Conference 27 Sept. 17-2, 27, Kagawa University, Japan Effects of Light Stimulus Frequency on Phase Characteristics of Brain Waves Seiji Nishifuji 1, Kentaro Fujisaki 1 and Shogo Tanaka 1 1

More information

WIRELESS PATIENT HEALTH MONITORING SYSTEM

WIRELESS PATIENT HEALTH MONITORING SYSTEM WIRELESS PATIENT HEALTH MONITORING SYSTEM PADMAVATHI KAVURU 1, B.CHINNA RAO 2 & P.M FRANCIS 3 1 (VLSI&ES) 2 Electronics & Communication Engg, Gokul Institute of Technology & Sciences (JNTUK): Bobbili,

More information

ANALYSIS OF BRAIN SIGNAL FOR THE DETECTION OF EPILEPTIC SEIZURE

ANALYSIS OF BRAIN SIGNAL FOR THE DETECTION OF EPILEPTIC SEIZURE ANALYSIS OF BRAIN SIGNAL FOR THE DETECTION OF EPILEPTIC SEIZURE Sumit Kumar Srivastava 1, Sharique Ahmed 2, Mohd Maroof Siddiqui 3 1,2,3 Department of EEE, Integral University ABSTRACT The electroencephalogram

More information

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR In Physiology Today What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may

More information

SLEEP STAGING AND AROUSAL. Dr. Tripat Deep Singh (MBBS, MD, RPSGT, RST) International Sleep Specialist (World Sleep Federation program)

SLEEP STAGING AND AROUSAL. Dr. Tripat Deep Singh (MBBS, MD, RPSGT, RST) International Sleep Specialist (World Sleep Federation program) SLEEP STAGING AND AROUSAL Dr. Tripat Deep Singh (MBBS, MD, RPSGT, RST) International Sleep Specialist (World Sleep Federation program) Scoring of Sleep Stages in Adults A. Stages of Sleep Stage W Stage

More information

PSD Analysis of Neural Spectrum During Transition from Awake Stage to Sleep Stage

PSD Analysis of Neural Spectrum During Transition from Awake Stage to Sleep Stage PSD Analysis of Neural Spectrum During Transition from Stage to Stage Chintan Joshi #1 ; Dipesh Kamdar #2 #1 Student,; #2 Research Guide, #1,#2 Electronics and Communication Department, Vyavasayi Vidya

More information

The Nervous System. Nervous System Functions 1. gather sensory input 2. integration- process and interpret sensory input 3. cause motor output

The Nervous System. Nervous System Functions 1. gather sensory input 2. integration- process and interpret sensory input 3. cause motor output The Nervous System Nervous System Functions 1. gather sensory input 2. integration- process and interpret sensory input 3. cause motor output The Nervous System 2 Parts of the Nervous System 1. central

More information

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR

Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR Physiology Unit 2 CONSCIOUSNESS, THE BRAIN AND BEHAVIOR What the Brain Does The nervous system determines states of consciousness and produces complex behaviors Any given neuron may have as many as 200,000

More information

Outline. Neuron Structure. Week 4 - Nervous System. The Nervous System: Neurons and Synapses

Outline. Neuron Structure. Week 4 - Nervous System. The Nervous System: Neurons and Synapses Outline Week 4 - The Nervous System: Neurons and Synapses Neurons Neuron structures Types of neurons Electrical activity of neurons Depolarization, repolarization, hyperpolarization Synapses Release of

More information

Neurons: Structure and communication

Neurons: Structure and communication Neurons: Structure and communication http://faculty.washington.edu/chudler/gall1.html Common Components of a Neuron Dendrites Input, receives neurotransmitters Soma Processing, decision Axon Transmits

More information

Introduction (1) Nervous System & EEG. Introduction (2)

Introduction (1) Nervous System & EEG. Introduction (2) Introduction () Nervous System & EEG Achmad Rizal BioSPIN Chapter 7, Biointrumentation, Webster Nervous system is defined as all cell, tissues, and organ that regulate the body s response to internal &

More information

Chapter 3 Biological measurement 3.1 Nerve conduction

Chapter 3 Biological measurement 3.1 Nerve conduction Chapter 3 Biological measurement 3.1 Nerve conduction Learning objectives: What is in a nerve fibre? How does a nerve fibre transmit an electrical impulse? What do we mean by action potential? Nerve cells

More information

Quick Notes. BioCapture : Acquiring EEG data

Quick Notes. BioCapture : Acquiring EEG data Electroencephalography (EEG) is a recording used to measure the synaptic electrical activity of the brain. The BioCapture system uses electrodes on the scalp to monitor the average behavior of millions

More information

Principles and Applications of Electrical Circuits and Signal Theories in EP

Principles and Applications of Electrical Circuits and Signal Theories in EP Principles and Applications of Electrical Circuits and Signal Theories in EP Graydon Beatty, VP Therapy Development Atrial Fibrillation Division, St. Jude Medical, Inc. CardioRhythm 2009 Background Biophysics

More information

Neurons, Synapses and Signaling. Chapter 48

Neurons, Synapses and Signaling. Chapter 48 Neurons, Synapses and Signaling Chapter 48 Warm Up Exercise What types of cells can receive a nerve signal? Nervous Organization Neurons- nerve cells. Brain- organized into clusters of neurons, called

More information

Chapter 2: Cellular Mechanisms and Cognition

Chapter 2: Cellular Mechanisms and Cognition Chapter 2: Cellular Mechanisms and Cognition MULTIPLE CHOICE 1. Two principles about neurons were defined by Ramón y Cajal. The principle of connectional specificity states that, whereas the principle

More information

5.4 ANATOMY AND PHYSIOLOGY OF THE BRAIN Introduction

5.4 ANATOMY AND PHYSIOLOGY OF THE BRAIN Introduction 5.4 ANATOMY AND PHYSIOLOGY OF THE BRAIN 5.4.1 Introduction Action pulses generated at the distal end of sensory neurons propagate first to the cell body and then onward, conveyed by long axonal pathways.

More information

STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM

STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM STRUCTURAL ELEMENTS OF THE NERVOUS SYSTEM STRUCTURE AND MAINTENANCE OF NEURONS (a) (b) Dendrites Cell body Initial segment collateral terminals (a) Diagrammatic representation of a neuron. The break in

More information

EEG in Medical Practice

EEG in Medical Practice EEG in Medical Practice Dr. Md. Mahmudur Rahman Siddiqui MBBS, FCPS, FACP, FCCP Associate Professor, Dept. of Medicine Anwer Khan Modern Medical College What is the EEG? The brain normally produces tiny

More information

Separation Of,, & Activities In EEG To Measure The Depth Of Sleep And Mental Status

Separation Of,, & Activities In EEG To Measure The Depth Of Sleep And Mental Status Separation Of,, & Activities In EEG To Measure The Depth Of Sleep And Mental Status Shah Aqueel Ahmed 1, Syed Abdul Sattar 2, D. Elizabath Rani 3 1. Royal Institute Of Technology And Science, R. R. Dist.,

More information

EKG Sensor Product Number: ENEKG189

EKG Sensor Product Number: ENEKG189 imagine explore learn EKG Sensor Product Number: ENEKG189 Overview An electrocardiogram abbreviated as EKG or ECG is a test that measures the electrical activity of the heartbeat. With each beat, an electrical

More information

Portions from Chapter 6 CHAPTER 7. The Nervous System: Neurons and Synapses. Chapter 7 Outline. and Supporting Cells

Portions from Chapter 6 CHAPTER 7. The Nervous System: Neurons and Synapses. Chapter 7 Outline. and Supporting Cells CHAPTER 7 The Nervous System: Neurons and Synapses Chapter 7 Outline Neurons and Supporting Cells Activity in Axons The Synapse Acetylcholine as a Neurotransmitter Monoamines as Neurotransmitters Other

More information

Intracranial Studies Of Human Epilepsy In A Surgical Setting

Intracranial Studies Of Human Epilepsy In A Surgical Setting Intracranial Studies Of Human Epilepsy In A Surgical Setting Department of Neurology David Geffen School of Medicine at UCLA Presentation Goals Epilepsy and seizures Basics of the electroencephalogram

More information

Brain Computer Interface. Mina Mikhail

Brain Computer Interface. Mina Mikhail Brain Computer Interface Mina Mikhail minamohebn@gmail.com Introduction Ways for controlling computers Keyboard Mouse Voice Gestures Ways for communicating with people Talking Writing Gestures Problem

More information

STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM

STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM STRUCTURAL ORGANIZATION OF THE NERVOUS SYSTEM STRUCTURAL ORGANIZATION OF THE BRAIN The central nervous system (CNS), consisting of the brain and spinal cord, receives input from sensory neurons and directs

More information

Multiple Choice Questions for Part I

Multiple Choice Questions for Part I Multiple Choice Questions for Part I 1. Neurons in the cerebral cortex are organized in: A. Three horizontal layers B. Four horizontal layers C. Six horizontal layers with layer IV receiving inputs from

More information

ELEC ENG 4BD4 Lecture 1. Biomedical Instrumentation Instructor: Dr. Hubert de Bruin

ELEC ENG 4BD4 Lecture 1. Biomedical Instrumentation Instructor: Dr. Hubert de Bruin ELEC ENG 4BD4 Lecture 1 Biomedical Instrumentation Instructor: Dr. Hubert de Bruin 1 Cochlear Implant 2 Advances in Vision (Retinal Stimulation) 3 Argus II Implant 4 Mini Gastric Imaging 5 Taser 6 Shock

More information

The Nervous System. B. The Components: 1) Nerve Cells Neurons are the cells of the body and are specialized to carry messages through an process.

The Nervous System. B. The Components: 1) Nerve Cells Neurons are the cells of the body and are specialized to carry messages through an process. The Nervous System A. The Divisions: 1) The Central Nervous System includes the and. The brain contains billions of nerve cells called, and trillions of support cells called. 2) The Peripheral Nervous

More information

Ameen Alsaras. Ameen Alsaras. Mohd.Khatatbeh

Ameen Alsaras. Ameen Alsaras. Mohd.Khatatbeh 9 Ameen Alsaras Ameen Alsaras Mohd.Khatatbeh Nerve Cells (Neurons) *Remember: The neural cell consists of: 1-Cell body 2-Dendrites 3-Axon which ends as axon terminals. The conduction of impulse through

More information

Biomedical Signal Processing

Biomedical Signal Processing DSP : Biomedical Signal Processing What is it? Biomedical Signal Processing: Application of signal processing methods, such as filtering, Fourier transform, spectral estimation and wavelet transform, to

More information

EPILEPTIC SEIZURE DETECTION USING WAVELET TRANSFORM

EPILEPTIC SEIZURE DETECTION USING WAVELET TRANSFORM EPILEPTIC SEIZURE DETECTION USING WAVELET TRANSFORM Sneha R. Rathod 1, Chaitra B. 2, Dr. H.P.Rajani 3, Dr. Rajashri khanai 4 1 MTech VLSI Design and Embedded systems,dept of ECE, KLE Dr.MSSCET, Belagavi,

More information

A Brain Computer Interface System For Auto Piloting Wheelchair

A Brain Computer Interface System For Auto Piloting Wheelchair A Brain Computer Interface System For Auto Piloting Wheelchair Reshmi G, N. Kumaravel & M. Sasikala Centre for Medical Electronics, Dept. of Electronics and Communication Engineering, College of Engineering,

More information

Quick Guide - eabr with Eclipse

Quick Guide - eabr with Eclipse What is eabr? Quick Guide - eabr with Eclipse An electrical Auditory Brainstem Response (eabr) is a measurement of the ABR using an electrical stimulus. Instead of a traditional acoustic stimulus the cochlear

More information

II. PROCEDURE DESCRIPTION A. Normal Waveform from an Electrocardiogram Figure 1 shows two cycles of a normal ECG waveform.

II. PROCEDURE DESCRIPTION A. Normal Waveform from an Electrocardiogram Figure 1 shows two cycles of a normal ECG waveform. Cardiac Monitor with Mobile Application and Alert System Miguel A. Goenaga-Jimenez, Ph.D. 1, Abigail C. Teron, BS. 1, Pedro A. Rivera 1 1 Universidad del Turabo, Puerto Rico, mgoenaga1@suagm.edu, abigailteron@gmail.com,

More information

Models and Physiology of Macroscopic Brain Ac5vity. Jose C. Principe University of Florida

Models and Physiology of Macroscopic Brain Ac5vity. Jose C. Principe University of Florida Models and Physiology of Macroscopic Brain Ac5vity Jose C. Principe University of Florida Literature W. Freeman- Mass Ac5on in the Nervous System P. Nunez Electric Fields of the Brain H. Berger- On the

More information

TOBY Cerebral Function Monitoring Addition to CFM handbook for users of the Olympic CFM 6000

TOBY Cerebral Function Monitoring Addition to CFM handbook for users of the Olympic CFM 6000 ISRCTN 89547571 TOBY Cerebral Function Monitoring Addition to CFM handbook for users of the Olympic CFM 6000 2 The contents of this booklet were originally produced for the website http://www.azzopardi.freeserve.co.uk/cfm

More information

Neural Basis of Motor Control

Neural Basis of Motor Control Neural Basis of Motor Control Central Nervous System Skeletal muscles are controlled by the CNS which consists of the brain and spinal cord. Determines which muscles will contract When How fast To what

More information

Clinically Available Optical Topography System

Clinically Available Optical Topography System Clinically Available Optical Topography System Clinically Available Optical Topography System 18 Fumio Kawaguchi Noriyoshi Ichikawa Noriyuki Fujiwara Yûichi Yamashita Shingo Kawasaki OVERVIEW: Progress

More information

Intro. Comp. NeuroSci. Ch. 9 October 4, The threshold and channel memory

Intro. Comp. NeuroSci. Ch. 9 October 4, The threshold and channel memory 9.7.4 The threshold and channel memory The action potential has a threshold. In figure the area around threshold is expanded (rectangle). A current injection that does not reach the threshold does not

More information

Neural Communication. Central Nervous System Peripheral Nervous System. Communication in the Nervous System. 4 Common Components of a Neuron

Neural Communication. Central Nervous System Peripheral Nervous System. Communication in the Nervous System. 4 Common Components of a Neuron Neural Communication Overview of CNS / PNS Electrical Signaling Chemical Signaling Central Nervous System Peripheral Nervous System Somatic = sensory & motor Autonomic = arousal state Parasympathetic =

More information

BME 701 Examples of Biomedical Instrumentation. Hubert de Bruin Ph D, P Eng

BME 701 Examples of Biomedical Instrumentation. Hubert de Bruin Ph D, P Eng BME 701 Examples of Biomedical Instrumentation Hubert de Bruin Ph D, P Eng 1 Instrumentation in Cardiology The major cellular components of the heart are: working muscle of the atria & ventricles specialized

More information

Biomimetic Cortical Nanocircuits: The BioRC Project. Alice C. Parker NSF Emerging Models of Technology Meeting July 24, 2008

Biomimetic Cortical Nanocircuits: The BioRC Project. Alice C. Parker NSF Emerging Models of Technology Meeting July 24, 2008 Biomimetic Cortical Nanocircuits: The BioRC Project Alice C. Parker NSF Emerging Models of Technology Meeting July 24, 2008 The BioRC Project Team and Support Alice Parker, PI and Chongwu Zhou, Co-PI Graduate

More information

University of Cyprus Biomedical Imaging and Applied Optics. ECE 370 Introduction to Biomedical Engineering. Bioelectricity

University of Cyprus Biomedical Imaging and Applied Optics. ECE 370 Introduction to Biomedical Engineering. Bioelectricity University of Cyprus Biomedical Imaging and Applied Optics ECE 370 Introduction to Biomedical Engineering Bioelectricity Membrane Potential Opposite charges attract and similar repel Membrane potential

More information

Copyright Dr. Franklin B. Krasne, Swimmy

Copyright Dr. Franklin B. Krasne, Swimmy Copyright Dr. Franklin B. Krasne, 2008 Swimmy Advantages of Swimmy 1) Very faithful simulation of neural activity 2) Flawless electrode placement. 3) No extraneous noise issues--including extraneous biological

More information

LESSON 3.3 WORKBOOK. Why does applying pressure relieve pain?

LESSON 3.3 WORKBOOK. Why does applying pressure relieve pain? Postsynaptic potentials small changes in voltage (membrane potential) due to the binding of neurotransmitter. Receptor-gated ion channels ion channels that open or close in response to the binding of a

More information

EXTRACELLULAR RECORDINGS OF SPIKES

EXTRACELLULAR RECORDINGS OF SPIKES EXTRACELLULAR RECORDINGS OF SPIKES Information about spiking is typically extracted from the high frequency band (>300-500Hz) of extracellular potentials. Since these high-frequency signals generally stem

More information

Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline

Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline Chapter 11 Introduction to the Nervous System and Nervous Tissue Chapter Outline Module 11.1 Overview of the Nervous System (Figures 11.1-11.3) A. The nervous system controls our perception and experience

More information

Chapter 11: Nervous System and Nervous Tissue

Chapter 11: Nervous System and Nervous Tissue Chapter 11: Nervous System and Nervous Tissue I. Functions and divisions of the nervous system A. Sensory input: monitor changes in internal and external environment B. Integrations: make decisions about

More information

ELECTROCARDIOGRAM (ECG)

ELECTROCARDIOGRAM (ECG) ELECTROCARDIOGM (ECG) Some times it is called EKG from the German electrokardiogram. It is the study of the electrical activity of the heart muscles. ECG is the graphic recording or display of the timevariant

More information

ABR assesses the integrity of the peripheral auditory system and auditory brainstem pathway.

ABR assesses the integrity of the peripheral auditory system and auditory brainstem pathway. By Prof Ossama Sobhy What is an ABR? The Auditory Brainstem Response is the representation of electrical activity generated by the eighth cranial nerve and brainstem in response to auditory stimulation.

More information

LESSON 3.3 WORKBOOK. Why does applying pressure relieve pain? Workbook. Postsynaptic potentials

LESSON 3.3 WORKBOOK. Why does applying pressure relieve pain? Workbook. Postsynaptic potentials Depolarize to decrease the resting membrane potential. Decreasing membrane potential means that the membrane potential is becoming more positive. Excitatory postsynaptic potentials (EPSP) graded postsynaptic

More information

10.1: Introduction. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial cells) Dendrites.

10.1: Introduction. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial cells) Dendrites. 10.1: Introduction Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Cell types in neural tissue: Neurons Neuroglial cells (also known as neuroglia, glia, and glial

More information

Detection and Plotting Real Time Brain Waves

Detection and Plotting Real Time Brain Waves Detection and Plotting Real Time Brain Waves Prof. M. M. PAL ME (ESC(CS) Department Of Computer Engineering Suresh Deshmukh College Of Engineering, Wardha Abstract - The human brain, either is in the state

More information

states of brain activity sleep, brain waves DR. S. GOLABI PH.D. IN MEDICAL PHYSIOLOGY

states of brain activity sleep, brain waves DR. S. GOLABI PH.D. IN MEDICAL PHYSIOLOGY states of brain activity sleep, brain waves DR. S. GOLABI PH.D. IN MEDICAL PHYSIOLOGY introduction all of us are aware of the many different states of brain activity, including sleep, wakefulness, extreme

More information

BIOLOGY 2050 LECTURE NOTES ANATOMY & PHYSIOLOGY I (A. IMHOLTZ) FUNDAMENTALS OF THE NERVOUS SYSTEM AND NERVOUS TISSUE P1 OF 5

BIOLOGY 2050 LECTURE NOTES ANATOMY & PHYSIOLOGY I (A. IMHOLTZ) FUNDAMENTALS OF THE NERVOUS SYSTEM AND NERVOUS TISSUE P1 OF 5 P1 OF 5 The nervous system controls/coordinates the activities of cells, tissues, & organs. The endocrine system also plays a role in control/coordination. The nervous system is more dominant. Its mechanisms

More information

Localization a quick look

Localization a quick look Localization a quick look Covering the basics Differential amplifiers Polarity convention 10-20 electrode system Basic montages: bipolar and referential Other aspects of displaying the EEG Localization

More information

ANATOMY AND PHYSIOLOGY OF NEURONS. AP Biology Chapter 48

ANATOMY AND PHYSIOLOGY OF NEURONS. AP Biology Chapter 48 ANATOMY AND PHYSIOLOGY OF NEURONS AP Biology Chapter 48 Objectives Describe the different types of neurons Describe the structure and function of dendrites, axons, a synapse, types of ion channels, and

More information

GLOSSARY OF TERMS ASSOCIATED WITH TENS

GLOSSARY OF TERMS ASSOCIATED WITH TENS GLOSSARY OF TERMS ASSOCIATED WITH TENS ATP Adenosine Triphosphate that helps to promote protein synthesis. Accommodation Becoming accustomed to stimulation resulting in nerve and muscle fatigue. Acute

More information

Na + K + pump. The beauty of the Na + K + pump. Cotransport. The setup Cotransport the result. Found along the plasma membrane of all cells.

Na + K + pump. The beauty of the Na + K + pump. Cotransport. The setup Cotransport the result. Found along the plasma membrane of all cells. The beauty of the Na + K + pump Na + K + pump Found along the plasma membrane of all cells. Establishes gradients, controls osmotic effects, allows for cotransport Nerve cells have a Na + K + pump and

More information

Lesson 14. The Nervous System. Introduction to Life Processes - SCI 102 1

Lesson 14. The Nervous System. Introduction to Life Processes - SCI 102 1 Lesson 14 The Nervous System Introduction to Life Processes - SCI 102 1 Structures and Functions of Nerve Cells The nervous system has two principal cell types: Neurons (nerve cells) Glia The functions

More information

EEG- A Brief Introduction

EEG- A Brief Introduction Fatemeh Hadaeghi EEG- A Brief Introduction Lecture Notes for BSP, Chapter 4 Master Program Data Engineering 1 4 Introduction Human brain, as the most complex living structure in the universe, has been

More information

BIOLOGICAL PROCESSES

BIOLOGICAL PROCESSES BIOLOGICAL PROCESSES CHAPTER 3 1 LEARNING GOALS Discuss how the nervous system communicates internally. Describe the structure and function of neurons Describe how the neuron transmits information Describe

More information