COGNITIVE NEUROSCIENCE BASED STRESS LEVEL MONITORING

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1 Volume 119 No , ISSN: (on-line version) url: COGNITIVE NEUROSCIENCE BASED STRESS LEVEL MONITORING G. Saiprasanna kumar 1, G. Ram bhupal reddy 2, L.shanmukha reddy 3, Mr.s.palanivel 4 1,2,3 UG Student, 4 Assistant professor Department of Electronics and Communication Engineering Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Avadi, Chennai , Tamil Nadu, India Abstract- There are many disadvantages in currenttechnology for measuring EEG electrical activity in applications such as clinical and experimental. For measuring EEG electrical activity two types of electrodes can be used one is dry electrode and the other is wet electrode. During the usage of wet electrodes it consumes time to measure the electrical activity and is uncomfortable to the patient. Dry electrodes are used to facilitate transitions between clinical into real life applications. Using dry electrodes EEG signals can be easily obtained by placing electrodes over forehead which provides extensive information on various disorders. Various people have different stress levels so the project aims to obtain electro enchephalo signals based on different stress levels on the goal of identifying patterns of brain. The other advantage with the usage of dry electrode is rapid monitoring on every day basis. The EEG recording and analysis ensures future in support of health problems. KEYWORDS: Electroencephalograph y, Dry electrode, Wet electrode, Stress level, Electrical activity. 1. INTRODUCTION Stress can be defined as body s way of responding to any type of demand or threat. Sum of the cognitive symptoms that occurred due to stress are memory problems, poor judgement, constant worrying and anxious thoughts. Stress not only causes cognitive problems it also emotional and physical problems. Stress can supress our immune system and increase risk of stroke and heart attacks. At times stress can also be helpful to human health for example the body prepare to face danger when a person fields stress. Stress can also a 843

2 study whereas processes in cognition which makeup this branch. Person to commit suicide, so there is a need to find stress level in a person and reduce it. Stress can also be define non-specific response of body to any change. In existing system the method uses signal processing algorithms to determine headache, sleep and depression. The major components of the system uses silicon based dry sensor which includes silicon, silver, AgSio2, gel and thick film pastes. The sensor has a light weight design and uses limited material to optimize its sensitivity. A compound containing a correct ratio of components provides low impedance and high flexibility. The disadvantage of previous model can be overcome by proposed model. The existing system consumes a lot of time in processing a stress signal by feeding it to various processing stages in other words we cannot monitor a stress level signal in real time. Cognitive psychology is branch of psychology which deals with cognitive mental processes. Cognition includes activities and processes concerned with storage acquisition retrieval and processing of knowledge. Cognitive psychology that deals with how people learn, perceive, remember and think about information. Cognitive psychologist 2. LITERATURE SERVAY The brain interface research has a critical issue that is to translate a person s intension into brain signals for controlling the programs of computer. The primary focus is the motor system where signals are received during the responses of imagined motor. However cognitive brain systems are used to know the consciouscontrol, providing better magnitude regulation and localised brain activity. The author provides a principle study on the use of higher cognitive system for BCI (Brain Computer Interference) namely the working memory system and its network is measured with functional MRI The unresponsive patients may be able to communicate with a BCI namely TTD (Thought Translation Device) before starting TTD learning, it is necessary to know the patients state of awareness and their remaining cognitive abilities. For a completely paralysed patient a tool for detection of cognitive activity has developed and integrated into TTD which is used for direct communication of brain. A brand new way of thinking has distinguished itself by integrating to parameters or entities namely, cognitive dynamic system (CDS) and dynamic spectrum management (DSM). The function of the CDS is the role of a cognitive engine centred at the 844

3 wireless communication heart, where licensed bands are for primary users and for unlicensed bands for secondary uses. For the classification of healthy brain images against those with Alzheimer s disease (AD) or mild cognitive impairment (MCI) and healthy brain magnetic resonance images a new approach called explored has been invented. More precisely, to build the future vectors from the derived Hurst s exponents Fractal multi scale analysis has proposed. 3.METHODOLOGY In the design of EEG based stress level monitoring,firstly the headband consists of a EEG sensor which senses the electrical activity of brain in general terms EEG means noninvasive test that records electrical patterns in your brain. The test is used to help diagnose conditions such as seizures, epilepsy, head injuries, dizziness, headaches, brain tumours and sleeping problems. The patient is placed with the headband overhead, which senses the electrical activity further the headband is given connection to the LM 158 amplifier. The LM158 series consists of two independent, high amplifiers which were designed specifically to operate from a single power supply over a wide range of voltages. PIC 16F877a microcontroller which further given to LCD, based on the fast Fourier transform the level of stress could be displayed. Based on the intensity of electrical wave the stress level can be plotted by FFT. BLOCK DIAGRAM: EEG Signal Amplifier Sensor conditioner EEG SENSOR: FFT LCD PIC16F87 7A Fig.1 Block Diagram An electroencephalography is a noninvasive test; it is able to record electrical patterns in the human brain. The non-invasive test is used to find diagnose conditions of the human being such as headache, head injuries, dizziness, seizures, epilepsy, brain tumours and sleeping problems. The patterns are formed by small electric signals produced by nerve cells in the human brain are called as brain waves. In this EEG test, small electrode wires are attached to head to stimulate and produce brain waves. SIGNAL CONDITIONER: It is device which is used to convert a electrical signal into another signal that may be difficult to measure by other conventional instrumentation into a easily read format. While converting they may take many number of performing functions. In analog signal the conditioners are designed to transmit, convert, 845

4 isolate, split and amplify analog signals in harsh industrial environments in order to reliability of the process. This process is used to save the panel space, providing the isolation via galvanic solution, solve mismatch signal issues, standardize on signal type. It will improve troubleshooting and reduce the wiring by replacing the loop power units AMPLIFIER: An amplifier is a electronic device it is used to increase the power of signal. An amplifier uses a electric power from a power supply to increase amplitude of a signal. Amplification can be provided by measuring its gain ratio of output voltage, current or power to input. It is a circuit that has gain power more than one. An amplifier can be a separate piece of equipment or an electric circuit within another device. Amplifier is one of the basic fundamental units that are widely used in almost all modern equipment s in present days. PIC16F877A: PIC stands for peripheral interface controller it is used to encode and decode the data. It is a 40 pin dip package and it has flash memory so we can use it to rewrite up to one lakh times. It has three ports of input output operation where analog signal directly given to PIC so there is no need to use external analog to digital converter. It is one of the most advanced micro controller available in the market It is used widely for experimental and modern applications due to its wide range of applications and its low price with its high quality and easy availability, it is mainly used in measuring devices, machine controller applications and study purpose. Fig.2 PIN Diagram It is 40 pin architecture with five ports port a is 6 pins, port b, c and d contains 8 pins and port e contains 3 pins. It has a pair of oscillator pins with a single reset pin and double pair of power pins. Port a gets input as analog signal port b, c and d gets the 3 types of instruction sets such as bit, byte and literal type instruction in this the accumulator is referred as one or working register and the register are referred as files are zero FFT PLOTTER: 846

5 quiet accurately reconstructed by adding sinusoidal signal to whether with different amplitudes and frequencies. The addition of sinusoidal signal will be directly proportional to output reconstructed signal to be look like as original one. nerve cells in brain produce very small electrical signals that form patterns called brainwaves. LCD: LCD stands for liquid crystal display which is composed of various layers that include two polarized filters and electrodes. This technology is used mainly to display the image in electronic devices like computers. Many electronic devices which we use in our daily life are made up of LCD displays which are replacing the use of cathode ray tube. LCD s are used in inverters, where the current and voltage readings are displayed on the screen. DETERMINATION OF STRESS EEG sensor senses the electrical activity of brain which has voltage of microvolts; these waves are fed to the pic16f877a microcontroller which consists of inbuilt FFT plotter. Further the graph can be screened on a LCD. Based on the persons stress level graph can be plotted 4. RESULTS AND DISCUSSION The aim of this work is to identify the stress level from distinct patterns of cognitive brain by using EEG sensors. EEG sensor, Fig.3 Generation of Sample Output The EEG sensor is able to detect such brain waves, based on level of intensity that a wave exist level of stress can be determined. The brain wave has a voltage of microvolts. In the process of determining 1stress level firstly, the EEG sensor senses the electrical waves from brain further the EEG sensor with headband is connected to PIC 16F877a microcontroller which further given to LCD, based on the fast Fourier transform the level of stress could be displayed. When the headband is placed around the head, if the stress level is more in brain activity of person then the level of graph displays on LCD. 847

6 Fig.5 Stimulation Output for Without Stress CONCLUSION Fig.4 Stimulation Output for Stress As shown in the graph describes the stress increases the graph curve or level of the graph increases. We ve proposed a novel technique for detecting stress under complex circumstances or situations based on cognitive neuro science. Our method included a main step - that is, we proposed a cognitive neuroscience is used to extract center bias saliency map luminance map from the original image. From the preliminary saliency map we fused the depth and colour cues with spatial weights. For obtaining stress detection results, fused the preliminary saliency map, depth map and center bias map. In the future, we will further explore a mechanism of human consciousness and human visual characteristics based on which we may screw some new charteristics and features to enhance the saliency map. REFERENCES [1] D.S. Basset and M. S. Gazzaniga, Understanding Complexity in the Human Brain, Trends cognit. Sci., volume 15, no. 5, pp , [2] T. Bartsch and P. J. Goadsby, The Trigeminocervical Complex and Migraine: Current Concepts and Synthesis, Current pain Headache Rep., vol. 7,no. 5,pp ,

7 [3] Bhuvana, V.Prabhu, P.G.Kuppusamy, M.R.Bibin content addressable memory performance analysis usnig NAND structure FinFET global journal of pure and applied mathematics, PP , VOL 12, [4] S. K. Afridi et al., A Positron Emission Tomographic Study in Spontaneous Migraine, Arch. Neurol., vol.62, no. 8, pp , [5] R. M. Berman et al., Antidepressant effects of Ketamine in depressed patients, Biolog Psychiatry, vol. 47, no. 4, pp , 2000 [6] B. W. Dunlop and H. S. Mayberg., neuroimaging-based biomarkers for treatment selection in major depressive disorder DiolugesClin.neurosci, vol. 16, no.4, pp , Dec [7] M. Hamlinton, Development of a rating scale for primary depressive illness, Brit. j. Soc. Clin. Psychol., vol. 6, no. 4, pp [8] Babitha Lincy, P.Sharmila, Kalpana.R, J.Jenisha, Design of arithmetic logic unit using 32- nm CNFET technology, Int journal of control theory and applications, PP , VOL 9(9),

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