Measurement of Soft Tissue Deformation to Improve the Accuracy of a Body-Mounted Motion Sensor
|
|
- Juliana Marsh
- 5 years ago
- Views:
Transcription
1 Measurement of Soft Tissue Deformation to Improve the Accuracy of a Body-Mounted Motion Sensor Tao Liu liu.tao@kochi-tech.ac.jp oshio Inoue Kyoko Shibata Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cho, Kochi , Japan Skin deformation caused by muscle motion is a common source of error for body-mounted sensors. A new method of measuring joint angles using a combination of two-axial accelerometers and reaction force sensors is presented. In this study, the effect of soft tissue deformation was minimized using a new reaction force sensor that is bound onto the body segment. The force sensor was designed using a pressure-sensitive electric conductive rubber. A Fourier transform of the total pressure forces induced by the body-mounted motion sensor modules was implemented to analyze the frequency property of soft tissue deformation on the human body surface. We processed the data of two-axial accelerations measured by the accelerometers using the measurements of soft tissue deformation including the total pressure force and twodirectional coordinates of the center of pressure. An experimental study with ten subjects was implemented to verify the new sensor system proposed for estimating the joint angle of the knee. The effectiveness of this system is illustrated by the experimental results using an optical motion analysis system as a reference. If we use the accelerometers alone, the root mean square (RMS) difference and the coefficient of multiple correlation (CMC) over all the subjects walking at each of the three speeds (slow, average, and fast) are deg and , deg and , and deg and , respectively. If we compensate for soft tissue deformation using the surface pressure measurements, the RMS difference and the CMC in each of the three conditions are deg and , deg and , and deg and , respectively. Measurement results of the developed sensor system showed high correlation with results from two alternative methods including an optical motion analysis system and the goniometer system in walking analysis experiments. The results support the effectiveness of the proposed method in the measurement of the flexion and extension angle of the knee. The compensation for soft tissue deformation using the surface pressure measurements improved the accuracy of the body-mounted sensor in the experiments. DOI: / Keywords: muscle motion, reaction force sensor, accelerometer, knee 1 Introduction In human dynamic analysis based on measurements of orientations of body segments, body-mounted motion, and force sensors Manuscript received June 18, 008; final manuscript received July 30, 009; published online August 8, 009. Review conducted by Vijay Goel. Paper presented at the IEEE /ASME International Conference on Advanced Intelligent Mechatronics AIM008. have gradually been considered more and more for clinical applications. This is due not only to the tremendous increase in research in this area but also to the large number of companies that recently started investing aggressively in the development of wearable products for the applications 1. Some cheaper and more comfortable body-mounted sensor systems with multisensor combinations like force-sensitive resistors, inclinometers, goniometers, gyroscopes, and accelerometers were proposed to implement the measurements of motions and forces for the human analysis. A quantitative analysis of human motion was investigated by Bonato 1 and by using the assembled multiaxis accelerometer sensors, a measurement system was made for the estimation of three-dimensional 3D position and orientation of a body segment. In another study, Tong and Grant 3 proposed a measurement device using two gyroscopes, one placed on the thigh and the other on the shank, which could estimate the rotation angle of the knee during walking. Pappas et al. 4 utilized a detection system consisting of three force-sensitive resistors, which could measure the force loads on a shoe insole, and a gyroscope, which could measure the rotational velocity of the foot. There is growing interest in developing commercial products using body-mounted sensor systems; for example, the MTx solutions furnished by sens sens, Enschede, The Netherlands 5, which produced a motion sensor based on three angular rate sensors, three accelerometers, and three magnetic sensors, which can reconstruct the angular displacement by means of a dedicated algorithm. The above techniques have been focusing on estimation of the orientations or joint angles using different inertial sensors but they share the drawback that the inertial sensors of gyroscopes and accelerometers suffer from fluctuating offset induced by temperature change or small changes in the structure mechanical wear. Luinge 6 proposed a Kalman filter that fuses triaxial accelerometer and triaxial gyroscope signals for ambulatory recording of the human body segment orientation. However, when accelerometers are used in clinical applications a complex calibration procedure is impractical and can cause misuse. In our research, we integrated a soft tissue deformation measurement with a developed body-mounted motion sensor 7 to estimate joint angles of the human lower limb. The goal of the study was to reduce the effects of noise due to body soft tissue deformation on motion sensors like accelerometers and to improve the accuracy of joint angle measurements. Methods and Materials In this section, a new design of the soft tissue deformation measurement device is proposed. Moreover, a body-mounted motion sensor and its algorithm for estimating the joint angle of the knee are introduced. Based on the new sensor system, the experimental study on the measurement of soft tissue deformation for improving accuracy of the body-mounted motion sensor system is described..1 Reaction Force Sensor for Measuring Soft Tissue Deformation. We proposed a new method to analyze soft tissue deformation from measurements of pressure distribution between the body-mounted sensor and the human body. A human body reaction force sensor constructed of four pressure-sensing cells can measure soft tissue deformation during movement. As shown in Fig. 1, an elastic strap was used to fix the reaction force sensor on the lower limb in which four contact points of the sensor can measure pressure force distribution induced by soft tissue deformation. The sensing cells in the reaction force sensor were designed using the pressure-sensitive electric conductive rubber PSECR, which has been used for measuring force distribution. The PSECR has been developed for the sheet-switch of the electronic circuits and has a unique property in that it conducts electric current only Journal of Medical Devices Copyright 009 by ASME SEPTEMBER 009, Vol. 3 /
2 Pectinate circuits Muscle Contact point of pressure sensor PSECR Base-board for motion sensor Elastic support trap Fig. 1 Soft tissue deformation measurement Sensing point (Contact point of pressure sensor) Fig. 3 Prototype of reaction force sensor when compressed and acts as an insulator when the pressure is released. The material properties of the PSECR are given in Table 1. Four pectinate circuits were made to construct one sensing matrix in the reaction force sensor. The interface of the sensor was designed to measure reaction force distribution on its base plate by four-positional pressure force inputs Fig.. The total pressure force F and the coordinates of the center of pressure COP including x COP and y COP were calculated using the measurements of the four pressure-sensing cells as follows: F = F 1 + F + F 3 + F 4 1 M x = F 1 + F F 3 F 4 L/ M y = F 1 + F 4 F F 3 L/ x COP = M y /F y COP = M x /F 5 where F i is the measured pressure force of each support point i =1,,3,and4 and M x and M y are the two-directional moments Table 1 Material properties of PSECR Color gray-black Tensile strength 1.86 MPa Elongation at break 0% 100% modulus 0.86 MPa Tear resistance 7 kn/m Hardness in durometer on the sensor plate. As shown in Fig. 3, a prototype of the reaction force sensor was developed and we mounted a motion sensor module designed with two multiaxial accelerometers on it to measure angular displacement of the knee.. Motion sensor module. As shown in Fig. 4, a motion sensor module was designed by integrating two accelerometers MM-860, made by Freescale Semiconductor, Tokyo, Japan. The sensor can work under low energy consumption 800 A at 5V, which includes signal conditioning modules and a power regulator so it is appropriate for ambulatory measurements. The two accelerometers were attached on a base board plate to measure the two-directional accelerations along the tangent direction of the x-axis and the sagittal direction of the y-axis when mounted on the lower limbs. In this motion sensor system, the two-axial acceleration information from the two accelerometers was fused to estimate the angular displacement of the attached segment. As shown in Fig. 5, the motion sensor system includes two sensor modules composed of two accelerometers and a reaction force sensor. The two sensor modules were mounted on the thigh and shank, respectively, and a data sampling logger was attached to the waist. Each sensor module including two accelerometers only performs measurements of acceleration in a segment-fixed reference frame during walking. As shown in Fig. 6, two local coordinates were defined for the sensor modules mounted on the thigh and shank. Considering the D model of a segment s motion, vector R a,r b indicates the distance between the sensor module and the knee joint, while the D local coordinate systems x t y t and x s y s represent the orientations of the sensor modules with re- Flexible rubber PSECR Small pectinate electrode 10mm D L F1 F Top view Z Z F4 L=0mm Fig. Reaction force sensor for measuring soft tissue deformation F3 Side view Reaction force sensor Accelerometer Fig. 4 Prototype of motion sensor module / Vol. 3, SEPTEMBER 009 Transactions of the ASME
3 Data logger Battery (9V) Sensor module on thigh 16-channel digital switch Sensor module on shank Micro-computer (H8 3964) Wireless module (ZIG-100B) Fig. 7 Hardware system of data sampling spect to the body segments. We aligned the y-direction along the line connecting the segment s proximal and distal joints and let the x-direction be the anterior-posterior direction. For the simplified model, the human body segments were considered rigid. We analyzed the motion of the sensor module fixed on a body segment by dividing the motion into the linear motion of the segment s rotation point and the angular motion of the sensor module around the rotation point. Therefore, to estimate the joint angle, the first step was to calculate two-directional accelerations of the knee joint in each local coordinate system using measurements of the sensor modules fixed on the body segments; the calculation equations are given as follows: Fig. 6 Fig. 5 Body-mounted sensor system. a K x,a K y s = a A1 x,a A1 y s R a + D s, R a + D s a K x,a K y s = a A x,a A y s R a s, R a s a K x,a K y t = a B1 x,a B1 y t R b t, R b t Sensor module B Sensor module A A 1 A D R b B x s B 1 y s y t R a x t Local coordinate of Sensor module on the thigh D Knee joint Local coordinate of Sensor moduleontheshank Local coordinate systems of the sensor modules a K x,a K y t = a B x,a B y t R b + D t, R b + D t 9 where a A1 x,a A1 y s, a A x,a A y s, a B1 x,a B1 y t, and a B x,a B y t are outputs of the accelerometers obtained from the two sensor modules fixed on the body segments of the shank and thigh, respectively, a K x,a K y t and a K x,a K y s are the knee joint accelerometers, which were calculated from measurements at the two local coordinates on the attached segments, and s and t are defined as angular velocities of the shank and thigh relative to the axis that is perpendicular to the x y plane. The next step was to calculate the joint angle between the two segments using the two sensor modules fixed on each segment. Since one point should physically have a unique acceleration, the two calculated accelerations at the local coordinates at the same rotation joint should be equal. a K x,a K y t = R a K x,a K y s 10 where R is the axis rotation matrix of the calculated joint accelerations that relate the two connected local coordinates..3 Data Sampling and Signal Processing. As shown in Fig. 7, an integrated hardware system was developed and incorporated into the sensor system for the data sampling and signal processing. The pressure forces applied to the flexible interface of the reaction force sensor were converted into resistance changes in the sensing cells by the PSECR. Then the resistance changes were converted into voltage signals by conditioning modules and were amplified by amplifier modules. The conditioned voltage signals from the reaction force sensor and accelerometers were fed into a personal computer after A/D conversion 10 bits using a microcomputer H Eight cells for pressure-sensing in the two reaction force sensors were used to measure soft tissue deformation, and eight acceleration outputs were used to estimate the joint angle, so there were in total 16 channels of voltage signals. A pair of wireless modules ZIG-100B was used for data communication between the microcomputer and a personal computer and to connect the RS3 ports instead of the common serial communication cable. A data processing program designed using MATLAB software The Mathworks, Natick, MA was utilized to calculate the joint angle by fusing the measurements of soft tissue deformation and accelerations. A Fourier transform of the total pressure forces induced by the body-mounted motion sensor modules was used to analyze the frequency property of the human body surface soft tissue deformation. We designed a one-order band pass filter to reduce the effect of soft tissue deformation on the measurements of accelerometers. The Fourier transform results were used to determine band values of the band pass filter for accelerometers. Moreover, the disturbance acceleration errors caused by soft tissue deformations d x COP /dt and d y COP /dt were subtracted from the two-axial accelerations measured using accelerometers in each Journal of Medical Devices SEPTEMBER 009, Vol. 3 /
4 Accelerometers Band filter + - Joint angle FFT discrete Fourier transform Total pressure force Cop d x cop & dt d y cop dt Reaction force sensor (Muscle motion) Fig. 8 Data processing for the accelerometers mounted on human body. local coordinate system. Figure 8 gives the architecture of the accelerometer data processing method using the measurements of soft tissue deformation including the total pressure force and twodirectional coordinates of the COP..4 Experimental Methods. To validate the sensor system performance, we compared the measurement results of the developed sensor system with measurements by a commercial optical motion analysis system, Hi-DCam NAC image technology, Japan and a joint angle measurement system, GonioMeter SG150 Biopac Systems, U.K.. The optical motion analysis system tracked and measured 3D trajectories of retroreflective markers placed on the subject s body surface. The cameras with a sampling frequency of 100 Hz were used to track marker motions to an accuracy of 1 mm. Since the motion measured using surface mounted optical markers is also fraught with soft tissue deformation of the body, we also used the GonioMeter system, constructed by resistive strain gauges, to measure the joint angle of the knee as another reference measurement. To align the body-mounted sensors, we divided the process of attachment to the leg into three steps: First, to restrain the distance of the two sensor modules, we fixed the modules to a frame, which could slide along a vertical pole. Second, the height of the frame was adjusted along the vertical pole to align the center of the two modules with the knee joint and the sensing plane of the two sensor modules with the frontal-medial aspect of the shank and thigh. Last, four ropes with magic tapes at the end were used to attach the sensor modules to the body to keep the two sensor modules in the same plane vertical to the ground, and then we removed the modules from the frame see Fig. 9. An experimental study was implemented to verify the new sensor system proposed to reduce the effects of soft tissue deformation on the estimation of the joint angle of the knee. Ten healthy subjects one female, nine males, aged yrs mean SD, height of 1.71 m 0.05 m, and mass of Pole Sensor module Frame GonioMeter Reflective mark First step Second step Last step Fig. 9 Sensor alignment Rope Fig kg 16. kg participated in the study. They performed flat walking trials when wearing the developed sensors and their usual shoes. The signals from the three measurement systems were simultaneously sampled at 100 samples/s. In order to examine the effects of soft tissue deformations on the joint angle estimation algorithm, each subject performed one walking trial at three speeds including slow, average, and fast. The soft tissue probably moves the most during the initial contact phase 8, so the knee angles calculated using the proposed method and the two alternative methods at ground contact initial contact phase for each of the three walking speeds were examined in particular. Based on the measurements of the segment s angle using the optical motion analysis system, we can detect the initial contact phase because the maximum angular displacement between the shank and the vertical axis gravity direction appears during this phase. 3 Results Cop accelerations obtained from two sensor modules. The coordinates of the COP for each sensor module were calculated from the measurements of pressure force distribution. As shown in Fig. 10, two-directional accelerations of COP were calculated from the double differential of two components of the COP displacements in a walking experiment and we noted that the accelerations increased with the different human motions that cause soft tissue deformation. The measured body reaction forces see Fig. 11 and their Fourier transform results for the shank and thigh during walking can be used for analyzing the effect of soft tissue deformation on the measurements of the body-mounted sensors. The band pass filter values of 5 0 Hz were determined from the Fourier transform results of a walking trial. The joint angles measured using the optical motion analysis system and the goniometer are most similar to the angles calculated using the accelerometer data that compensate the for noise due to soft tissue deformation Fig. 1. For the quantitative comparison between the sensor system and the two alternative methods, the RMS differences and the CMC were used to compare the closeness in amplitude. According to the comparison results from the measurement of the optical motion analysis system, if we use the accelerometers alone, the mean RMS difference and CMC for all ten subjects walking at each of the three speeds slow, average, and fast are deg and , deg and , and deg and , respectively. If we compensate for soft tissue deformation using the surface pressure measurements, the mean RMS and CMC in each of the three conditions are deg and , deg and , and deg and , respectively. Since the motion measured using sur / Vol. 3, SEPTEMBER 009 Transactions of the ASME
5 Fig. 11 The pressure force response and the Fourier transform face mounted optical markers may also be fraught with soft tissue deformation, we compared the results of the developed sensor with the measurements of a GonioMeter constructed with resistive strain gauges. If we do not consider compensation of soft tissue deformation, the mean RMS and CMC for the seven subjects walking at each of the three speeds are deg and , deg and , and 6..8 deg and , respectively. If we use the proposed compensation method, the mean RMS and CMC are deg and , deg and , and deg and , respectively. We noted that the RMS difference increases with walking velocity for both measurement devices and that the RMS difference between the sensor system and goniometer is smaller than that between the sensor and the optical system for each walking speed. Moreover, the agreement is always better when we use the soft tissue deformation algorithm that we developed rather than using only the accelerometers see Fig. 13. Moreover, the means of the knee angles calculated using the proposed method and the two alternative methods at ground contacts in a walking trial for each of the three walking speeds are summarized in Fig Discussion and Conclusions To resolve the problem of soft tissue deformation, a common source of error in body-mounted devices, we proposed a new Fig. 1 Comparison between the body-mounted sensor system and the two alternative methods using the optical motion analysis system and the joint angle sensor GonioMeter Fig. 13 The RMS difference and CMC of the knee angle measurements of ten subjects we used two reference measurement systems, the Hi-Dcam system and the goniometer system, to verify the body-mounted sensor system: a the RMS difference and b the CMC Journal of Medical Devices SEPTEMBER 009, Vol. 3 /
6 Fig. 14 The knee angles calculated using the proposed method and the two alternative methods at ground contacts during walking trials for each of the three walking speeds method including sensor alignment and measurement of the response of the human body s surface soft tissue. The results support the effectiveness of the proposed method in the measurement of the flexion and extension angle of the knee and the compensation for soft tissue deformation using the surface pressure measurements improved the accuracy of the body-mounted sensor in the experiments. As shown in Fig. 13, the RMS difference obtained from the soft tissue measuring algorithm is smaller than the comparison results obtained from accelerometers alone and the CMC is large when the soft tissue measuring algorithm is utilized. Therefore, the multiple tests on multiple subjects on the developed sensor system with the soft tissue measuring algorithm showed a high correlation with the results obtained from the two alternative methods in the multistep walking validation experiments. Moreover, in the statistical analysis of the comparison results of the three walking conditions, we obtained almost the same RMS and CMC so the proposed algorithm was robust to the different walking speeds that can cause different body motor motions and soft tissue deformations. We particularly examined the angles calculated using each of the three methods at ground contact for each of the three walking speeds. The differences between the angles obtained with the three methods after compensating for soft tissue deformation were small for all the three conditions. The remaining difference may be due to the assumption that the wearable sensors were flat on the body surfaces and aligned with joints at both ends when measuring the body segments orientations. The errors may be even lower when positions of the lower limb s joint centers the ankle, knee, and hip are accurately estimated, because the error in indentifying joint center positions is about 5 mm, which can cause a maximum offset of 7 deg in the segment orientation estimation. We can accurately align the sensor system with the goniometer using the sensor alignment mechanism so the RMS differences with the goniometer are smaller than in the optical motion analysis that is sensitive to the marker position on the body segment see Fig. 14. The larger difference between the estimated angles using the joint angle sensor GonioMeter in the low speed and fast speed walking conditions indicates that the goniometer may not be suited to high-speed measurement of human motion, because of the larger vibration of the large strain transducer in the goniometer during high-speed human motion. In this paper, two-axis acceleration data from 3D accelerometers in the plane of interest were used to estimate uniaxial angular displacement of the knee. Although multiaxial measurement is more powerful, in many cases a simple uniaxial measurement may be effective as well, giving useful information on pathologies related to the knee, for example, hemiplegia induced by stroke. The reported level of accuracy joint angle estimation error of about 4 deg should be good enough to be able to make these diagnoses. The 3D information from triaxial accelerometers will be necessary for analyzing the 3D orientation of the body segment, and the proposed compensation method for reducing the effects of soft tissue deformation can also be applied to measure other 3D joint angles such as in the ankle by attaching body-mounted sensors on the shank and foot. As for kinematic analysis of some special subjects such as obese patients, in the future we will apply the new method of sensor alignment and compensation for soft tissue deformation to realize high precision measurements. Moreover, the sensor system will be tested on many types of human motion analyses such as jumping and stair-climbing and a comprehensive test of its impact resistance property will surely be helpful in promoting this system to clinical applications. Acknowledgment We are grateful to the anonymous reviewers for their important comments and suggestions. References 1 Bonato, P., 003, Wearable Sensors/Systems and Their Impact on Biomedical Engineering, IEEE Eng. Med. Biol. Mag.,, pp Giansanti, D., Macellari, V., Maccioni, G., and Cappozzo, A., 003, Is It Feasible to Reconstruct Body Segment 3-D Position and Orientation Using Accelerometric Data? IEEE Trans. Biomed. Eng., 50, pp Tong, K., and Granat, H. M., 1999, A Practical Gait Analysis System Using Gyroscopes, Med. Eng. Phys., 1, pp Pappas, I. P. I., Popovic, M. R., Keller, T., Dietz, V., and Morari, M., 001, A Reliable Gait Phase Detection System, IEEE Trans. Rehabil. Eng., 9, pp sens, 003, 6 Luinge, H. J., and Veltink, P. H., 004, Inclination Measurement of Human Movement Using a 3-D Accelerometer With Autocalibration, IEEE Trans. Rehabil. Eng., 1, pp Liu, T., Inoue,., Shibata, K., and Morioka, H., 006, Development of Wearable Sensor Combinations for Human Lower Extremity Motion Analysis, Proceedings of IEEE International Conference on Robotics and Automation, pp Parry, J., 199, Gait Analysis Normal and Pathological Function, SlackInc., Thorofare, NJ, pp / Vol. 3, SEPTEMBER 009 Transactions of the ASME
ON A MECHATRONIC SYSTEM TO DETERMINE DYNAMIC PARAMETERS OF THE HUMAN LIMB DURING LOCOMOTION USED FOR ARTIFICIAL MUSCLES AND IMPLANT DESIGN
6th International DAAAM Baltic Conference INDUSTRIAL ENGINEERING 24-26 April 2008, Tallinn, Estonia ON A MECHATRONIC SYSTEM TO DETERMINE DYNAMIC PARAMETERS OF THE HUMAN LIMB DURING LOCOMOTION USED FOR
More informationChia-Wei Lin, Fong-Chin Su Institute of Biomedical Engineering, National Cheng Kung University Cheng-Feng Lin Department of Physical Therapy,
Chia-Wei Lin, Fong-Chin Su Institute of Biomedical Engineering, National Cheng Kung University Cheng-Feng Lin Department of Physical Therapy, National Cheng Kung University Turning movements are common
More informationEMG-Driven Human Model for Orthosis Control
EMG-Driven Human Model for Orthosis Control Christian Fleischer, Günter Hommel Institute for Computer Engineering and Microelectronics Berlin University of Technology, Germany {fleischer, hommel}@cs.tu-berlin.de
More informationAccelerometer based human joints' range of movement measurement
Accelerometer based human joints' range of movement measurement NWAIZU, Harriet, SAATCHI, Reza and BURKE, Derek Available from Sheffield Hallam University Research Archive
More informationA Measurement of Lower Limb Angles Using Wireless Inertial Sensors during FES Assisted Foot Drop Correction with and without Voluntary Effort
A Measurement of Lower Limb Angles Using Wireless Inertial Sensors during FES Assisted Foot Drop Correction with and without Voluntary Effort Takashi Watanabe, Shun Endo, Katsunori Murakami, Yoshimi Kumagai,
More informationAngular Measurements with BIOPAC Goniometers & Torsiometers
APPLICATION NOTES 42 Aero Camino, Goleta, CA 93117 Tel (805) 685-0066 Fax (805) 685-0067 info@biopac.com support@.biopac.com Application Note 140 Angular Measurements with BIOPAC Goniometers & Torsiometers
More informationFUSE TECHNICAL REPORT
FUSE TECHNICAL REPORT 1 / 16 Contents Page 3 Page 4 Page 8 Page 10 Page 13 Page 16 Introduction FUSE Accuracy Validation Testing LBD Risk Score Model Details FUSE Risk Score Implementation Details FUSE
More informationFirst Technology Safety Systems. Design Freeze Status. Flex-PLI-GTR Development
Based on TEG-047 29 Nov. 2007 JAMA-JARI JARI First Technology Safety Systems Design Freeze Status Flex-PLI-GTR Development Full Calibration Test Procedures Bernard Been FTSS Europe Comments addressed from
More informationVerification of Passive Power-Assist Device Using Humanoid Robot: Effect on Bending and Twisting Motion
15 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids) November 3-5, 15, Seoul, Korea Verification of Passive Power-Assist Device Using Humanoid Robot: Effect on Bending and Twisting
More informationON DEVELOPING A REAL-TIME FALL DETECTING AND PROTECTING SYSTEM USING MOBILE DEVICE
ON DEVELOPING A REAL-TIME FALL DETECTING AND PROTECTING SYSTEM USING MOBILE DEVICE Bing-Shiang Yang, Yu-Ting Lee, and Cheng-Wei Lin Biomechanics and Medical Application Laboratory, Department of Mechanical
More informationAT89C51 Microcontroller Based Control Model for Hybrid Assistive Limb (Knee )
From the SelectedWorks of suresh L Winter January 10, 2013 AT89C51 Microcontroller Based Control Model for Hybrid Assistive Limb (Knee ) suresh L Available at: https://works.bepress.com/suresh_l/2/ AT89C51
More informationThe influence of forefoot binding force change on vertical jump kinematics variation
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(2):554-558 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 The influence of forefoot binding force change on
More informationDESIGN AND IMPLEMENTATION OF A MECHATRONIC SYSTEM FOR LOWER LIMB MEDICAL REHABILITATION
International Journal of Modern Manufacturing Technologies ISSN 2067 3604, Vol. IV, No. 2 / 2012 17 DESIGN AND IMPLEMENTATION OF A MECHATRONIC SYSTEM FOR LOWER LIMB MEDICAL REHABILITATION Ana-Maria Amancea
More information914. Application of accelerometry in the research of human body balance
914. Application of accelerometry in the research of human body balance A. Kilikevičius 1, D. Malaiškaitė 2, P. Tamošauskas 3, V. Morkūnienė 4, D. Višinskienė 5, R. Kuktaitė 6 1 Vilnius Gediminas Technical
More informationDiscrepancies in Knee Joint Moments Using Common Anatomical Frames Defined by Different Palpable Landmarks
Journal of Applied Biomechanics, 2008, 24, 185-190 2008 Human Kinetics, Inc. Discrepancies in Knee Joint Moments Using Common Anatomical Frames Defined by Different Palpable Landmarks Dominic Thewlis,
More informationValidation of an Inertial Sensor System for Quantifying Knee Function
Clemson University TigerPrints All Theses Theses 12-26 Validation of an Sensor for Quantifying Knee Function Aaron Koslin Clemson University, sebbag@nsu.nova.edu Follow this and additional works at: https://tigerprints.clemson.edu/all_theses
More informationVerification of Assistive Effect Generated by Passive Power-Assist Device Using Humanoid Robot
Proceedings of the 14 IEEE/SICE International Symposium on System Integration, Chuo University, Tokyo, Japan, December 13-1, 14 SuP2D.1 Verification of Assistive Effect Generated by Passive Power-Assist
More informationOrthotics Measurement Board for Tibial Torsion and Toe-Out
Orthotics Measurement Board for Tibial Torsion and Toe-Out HANS R. LEHNEIS, C.P.O. 2 COORDINATED function of the brace-anatomical complex is dependent upon the configuration and fit of the brace with the
More informationInstruction Manual No A. Goniometer PS-2138, PS-2137
Instruction Manual No. 012-08904A Goniometer PS-2138, PS-2137 Goniometer Model No. PS-2138 Contents Introduction......................................................... 3 Probe Mounting......................................................
More informationMaximal isokinetic and isometric muscle strength of major muscle groups related to age, body weight, height, and sex in 178 healthy subjects
Maximal isokinetic and isometric muscle strength of major muscle groups related to age, body weight, height, and sex in 178 healthy subjects Test protocol Muscle test procedures. Prior to each test participants
More informationThe Ultimate Biomechanics Lab
myometricslab The Ultimate Biomechanics Lab ASSESSED, QUANTIFIED & VERIFIED Noraxon USA provides market-leading technology for measurement and training devices, such as EMG, gait analysis, biofeedback,
More information1478 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 52, NO. 8, AUGUST Hooman Dejnabadi*, Brigitte M. Jolles, and Kamiar Aminian, Member, IEEE
1478 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 52, NO. 8, AUGUST 2005 A New Approach to Accurate Measurement of Uniaxial Joint Angles Based on a Combination of Accelerometers and Gyroscopes Hooman
More informationNumerical predicting of contact and pressure sore of lower extremity parts caused by prosthetic and orthotic
MACROJOURNALS The Journal of MacroTrends in Health and Medicine Numerical predicting of contact and pressure sore of lower extremity parts caused by prosthetic and orthotic Reza Fakhrai, Bahram Saadatfar,
More informationElectromyography II Laboratory (Hand Dynamometer Transducer)
(Hand Dynamometer Transducer) Introduction As described in the Electromyography I laboratory session, electromyography (EMG) is an electrical signal that can be recorded with electrodes placed on the surface
More informationGarment-Integrated Wearable Sensing for Knee Joint Monitoring
Garment-Integrated Wearable Sensing for Knee Joint Monitoring Guido Gioberto University of Minnesota Ph.D. Candidate Computer Science and Engineering Wearable Technology Lab 340 McNeal Hall 1985 Buford
More informationQ: What is the relationship between muscle forces and EMG data that we have collected?
FAQs ABOUT OPENSIM Q: What is the relationship between muscle forces and EMG data that we have collected? A: Muscle models in OpenSim generate force based on three parameters: activation, muscle fiber
More informationIntelligent Frozen Shoulder Self-Home Rehabilitation Monitoring System
Intelligent Frozen Shoulder Self-Home Rehabilitation Monitoring System Jiann-I Pan* 1, Hui-Wen Chung 1, and Jen-Ju Huang 2 1 Department of Medical Informatics, Tzu-Chi University, Hua-Lien, Taiwan 2 Rehabilitation
More informationA Novel Tibiofemoral Kinematics Measurement System Based On Multi-Channel A-Mode Ultrasound System
EPiC Series in Health Sciences Volume 1, 2017, Pages 166 170 CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery Health Sciences A Novel Tibiofemoral Kinematics
More informationEstimation of the Upper Limb Lifting Movement Under Varying Weight and Movement Speed
1 Sungyoon Lee, 1 Jaesung Oh, 1 Youngwon Kim, 1 Minsuk Kwon * Jaehyo Kim 1 Department of mechanical & control engineering, Handong University, qlfhlxhl@nate.com * Department of mechanical & control engineering,
More informationOne hundred and ten individuals participated in this study
Purpose The purpose of this study was to compare gait characteristics in an asymptomatic population of younger and older adults to older OA patients of different severities Hypothesis(es) The following
More informationMeasuring and modelling arm dynamics to support studies into reducing tremor in individuals with multiple sclerosis
Modelling in Medicine and Biology VII 123 Measuring and modelling arm dynamics to support studies into reducing tremor in individuals with multiple sclerosis L. P. Ketteringham 1, S. A. Neild 1, R. A.
More informationA Comparison Between Methods of Measuring Postural Stability: Force Plates versus Accelerometers Abstract Introduction
A Comparison Between Methods of Measuring Postural Stability: Force Plates versus Accelerometers Christina Seimetz, Danica Tan, Riemann Katayama, Thurmon Lockhart Abstract Several methods exist for the
More informationDynamic Hollow Cylinder System Proposal
Dynamic Hollow Cylinder System Proposal from Wykeham Farrance Limited Weston Road Slough SL1 4HW England Tel:+44 (0)1753 571241 Fax: +44 (0)1753 811313 E-mail: sales@wfi.co.uk Advanced Soils Testing 2
More informationHIWIN Thesis Award 2007
HIWIN Thesis Award 2007 Optimal Design Laboratory & Gerontechnology Research Center Yuan Ze University Physical Activity Physical activity can be regarded as any bodily movement or posture produced by
More informationOrthotic Management for Children with Cerebral Palsy
Orthotic Management for Children with Cerebral Palsy Brian Emling, MSPO, CPO, LPO Brian.emling@choa.org Karl Barner, CPO, LPO karl.barner@choa.org Learning Objectives Inform audience of the general services
More informationLecture 2. Statics & Dynamics of Rigid Bodies: Human body 30 August 2018
Lecture 2. Statics & Dynamics of Rigid Bodies: Human body 30 August 2018 Wannapong Triampo, Ph.D. Static forces of Human Body Equilibrium and Stability Stability of bodies. Equilibrium and Stability Fulcrum
More informationDesign and Dynamic Modeling of Flexible Rehabilitation Mechanical Glove
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Design and Dynamic Modeling of Flexible Rehabilitation Mechanical Glove To cite this article: M X Lin et al 2018 IOP Conf. Ser.:
More informationAn Innovative Measurement in Musculoskeletal Rehabilitation Using 3D Motion Analysis
An Innovative Measurement in Musculoskeletal Rehabilitation Using 3D Motion Analysis Caroline Wong 1 Leo Kam 1 Sharon Tsang 2 1. Physiotherapist I, Prince of Wales Hospital, Hong Kong 2. Assistant Professor,
More informationTAKE-OFF CHARACTERISTICS OF DOUBLE BACK SOMERSAULTS ON THE FLOOR
TAKE-OFF CHARACTERISTICS OF DOUBLE BACK SOMERSAULTS ON THE FLOOR H. Geiblinger, W. E. Morrison & P. A. McLaughlin Biomechanics Unit, Dep't of Physical Education and Recreation and Centre for Rehabilitation,
More informationSolar Illumination Study
Solar Illumination Study INTRODUCTION The angle of the sun in the sky relative to the horizon (vertical angle) changes throughout the day as the sun traverses from east to west. And the angle that the
More informationEVALUATION OF THE ANKLE ROLL GUARD S EFFECTIVENESS TO IMPROVE ITS CLINICAL BENEFIT PROGRESS REPORT. Prepared By:
EVALUATION OF THE ANKLE ROLL GUARD S EFFECTIVENESS TO IMPROVE ITS CLINICAL BENEFIT PROGRESS REPORT Prepared By: Dr. Tyler Brown, Principal Investigator Wyatt Ihmels, Graduate Research Assistant Research
More informationParameters of kinaesthesis during gaits derived from an ultrasound-based measuring system
Modelling in Medicine and Biology VIII 171 Parameters of kinaesthesis during gaits derived from an ultrasound-based measuring system R. M. Kiss Department of Structures, Budapest University of Technology
More informationAndroid based Monitoring Human Knee Joint Movement Using Wearable Computing
Android based Monitoring Human Knee Joint Movement Using Wearable Computing Abstract In today s fast moving lifestyle, incidents regarding health issues are surfacing every day. One of the major issues
More informationDynamic Muscle Recorder
Dynamic Muscle Recorder Team 17 By: Michael Petrowicz Farrukh Rahman James Porteus Client: Biomedical Engineering Department Dr. Enderle Executive Summary The biomedical department requires a lab setup
More informationIn Vitro Analysis of! Foot and Ankle Kinematics:! Robotic Gait Simulation. William R. Ledoux
In Vitro Analysis of! Foot and Ankle Kinematics:! Robotic Gait Simulation William R. Ledoux RR&D Center of Excellence for Limb Loss Prevention and Prosthetic Engineering, VA Puget Sound Departments of
More informationLower body modeling with Plug-in Gait
Lower body modeling with Plug-in Gait This section describes lower body modeling with Plug?in Gait. It covers the following information: Outputs from Plug-in Gait lower body model Marker sets for Plug-in
More informationMechanism of leg stiffness adjustment for hopping on surfaces of different stiffnesses
Mechanism of leg stiffness adjustment for hopping on surfaces of different stiffnesses CLAIRE T. FARLEY, 1 HAN H. P. HOUDIJK, 2 CISKA VAN STRIEN, 2 AND MICKY LOUIE 1 1 Locomotion Laboratory, Department
More informationDevelopment of Ultrasound Based Techniques for Measuring Skeletal Muscle Motion
Development of Ultrasound Based Techniques for Measuring Skeletal Muscle Motion Jason Silver August 26, 2009 Presentation Outline Introduction Thesis Objectives Mathematical Model and Principles Methods
More informationADVANCED BIOMECHANICS - KINES 484 Spring Semester, Summary of Review Questions
ADVANCED BIOMECHANICS - KINES 484 Spring Semester, 2002 Summary of Review Questions INTRODUCTION TO AREA OF STUDY (Topics 1-2) Topic 1 - What is biomechanics? 1. What are biomechanical investigations concerned
More informationGoniometer Crosstalk Compensation for Knee Joint Applications
Sensors 21, 1, 9994-15; doi:1.339/s1119994 OPEN ACCESS sensors ISSN 1424-822 www.mdpi.com/journal/sensors Article Goniometer Crosstalk Compensation for Knee Joint Applications Tatiana de Oliveira Sato
More informationMonitoring of Physical Activity
Monitoring of Physical Activity 1. PURPOSE Nowadays, the lifestyle in urbanized and industrialized countries is reducing the level of physical activity. There are studies of World Health Organization (WHO)
More informationAnalysis Protocols. Oxford Foot Model Protocol
Analysis Protocols Oxford Foot Model Protocol Analysis Protocols Oxford Foot Model Protocol Version 1.0.0 Document: BTSAP_GAITLAB-0516UK - Oxford Foot Model Protocol Published: May 2016 Copyright 2016
More informationDESIGN AND TESTS OF A WEARABLE FUNCTIONAL ELECTRICAL STIMULATION (FES) SYSTEM FOR KNEE JOINT MOVEMENT USING CYCLE-TO-CYCLE CONTROL METHOD
DESIGN AND TESTS OF A WEARABLE FUNCTIONAL ELECTRICAL STIMULATION (FES) SYSTEM FOR KNEE JOINT MOVEMENT USING CYCLE-TO-CYCLE CONTROL METHOD 1 AIDATUNISADINA LINAZIZAH BASITH, 2 STANLEY SETIAWAN, 3 ACHMAD
More informationPCA Enhanced Kalman Filter for ECG Denoising
IOSR Journal of Electronics & Communication Engineering (IOSR-JECE) ISSN(e) : 2278-1684 ISSN(p) : 2320-334X, PP 06-13 www.iosrjournals.org PCA Enhanced Kalman Filter for ECG Denoising Febina Ikbal 1, Prof.M.Mathurakani
More informationCompensation for the Effect of Soft Tissue Artefact on Humeral Axial Rotation Angle
J Med Dent Sci 2007; 54: 1 7 Original Article Compensation for the Effect of Soft Tissue Artefact on Humeral Axial Rotation Angle Lili Cao 1, Tadashi Masuda 2 and Sadao Morita 1 1) Department of Rehabilitation
More informationIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 17, NO. 6, DECEMBER
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 17, NO. 6, DECEMBER 2009 553 Estimation of 2-D Center of Mass Movement During Trunk Flexion Extension Movements Using Body Accelerations
More informationUse of a patella marker to improve tracking of dynamic hip rotation range of motion
Gait & Posture 27 (2008) 530 534 www.elsevier.com/locate/gaitpost Use of a patella marker to improve tracking of dynamic hip rotation range of motion Tishya A.L. Wren a,b, *, K. Patrick Do a, Reiko Hara
More informationObjectives. Contents. GONIOMETRY and VIDEOGRAMMETRY in (Sports) Biomechanics
GONIOMETRY and VIDEOGRAMMETRY in (Sports) Biomechanics Center for Sensory-Motor Interaction Anvendt Biomekanik Uwe Kersting Lecture 03-2008 1 Objectives Basic working principles of goniometers Considerations
More informationInformation on the Flexible Pedestrian Legform Impactor GT Alpha (Flex-GTa)
24 April 26 3 rd Flex-TEG MT BASt, Bergisch Information on the Flexible Pedestrian Legform Impactor GT Alpha (Flex-GTa) Atsuhiro Konosu Flex-TEG Chairperson /Japan Background At At the the 2 nd nd Flex-TEG
More informationAN INERTIAL MOTION SYSTEM FOR THE EVALUATION OF HORSE MOTION IN FIELD CONDITIONS. PRELIMINARY REPORT
AN INERTIAL MOTION SYSTEM FOR THE EVALUATION OF HORSE MOTION IN FIELD CONDITIONS. PRELIMINARY REPORT *Antonio M. Cruz DVM, MVM, MSc, DrMedVet, Dipl. ACVS, Dipl. ECVS, Dipl. ACVSMR # Diana Hodgins BSc,
More informationP04-24 ID239 MECHANISM OF LANDING STRATERGY DURING STEP AEROBICS WITH DIFFERENT BENCH HEIGHTS AND LOADS
P04-24 ID239 MECHANISM OF LANDING STRATERGY DURING STEP AEROBICS WITH DIFFERENT BENCH HEIGHTS AND LOADS Po-Chieh Chen 1, Chen-Fu Huang 1, Tzu-Ling Won 2 1 Department of Physical Education, National Taiwan
More informationWearable Computing Systems for Sensor Based Movement Analysis
Wearable Computing Systems for Sensor Based Movement Analysis Dominik Schuldhaus & Bjoern Eskofier, Ph.D. Digital Sports Group, Pattern Recognition Lab (CS 5) 06.12.2013 Introduction The Pattern Recognition
More informationSIMULATOR FOR TESTING THE FRICTION TORQUE OF THE FEMORAL HEAD OF A HIP PROSTHESIS
Bulletin of the Transilvania University of Braşov Vol. 8 (57) No. 2-2015 Series I: Engineering Sciences SIMULATOR FOR TESTING THE FRICTION TORQUE OF THE FEMORAL HEAD OF A HIP PROSTHESIS S. MIHAI 1 V. FILIP
More informationDynamics. Forward dynamics: Inverse dynamics: Biomecânica. Filipa Sousa. Areas of complex BIOMECHANICAL evaluation: Inverse dynamometry F = m * a
Areas of complex BIOMECHANICAL evaluation: Biomecânica Filipa Sousa Porto Biomechanics Laboratory (LABIOMEP), Faculty of Sports, University of Porto, Porto, Portugal KINEMETRY ANTHROPOMETRY DYNAMOMETRY
More informationMETROLOGICAL CHARACTERIZATION OF ROCKING BOARDS AND POSTURAL READERS TO ASSESS SINGLE STANCE STABILITY IN HUMAN SUBJECTS
IMEKO 22 nd TC3, 15 th TC5 and 3 rd TC22 International Conferences 3 to 5 February, 214, Cape Town, Republic of South Africa METROLOGICAL CHARACTERIZATION OF ROCKING BOARDS AND POSTURAL READERS TO ASSESS
More informationCHAPTER 11 UNIVERSITY OF DENVER
CHAPTER 11 UNIVERSITY OF DENVER School of Engineering and Computer Science Department of Engineering 2390 S. York Street Denver, CO 80208 Principal Investigator: Kimberly E. Newman (303)871-3436 kinewman@du.edu
More informationInvestigating the loading behaviour of intact and meniscectomy knee joints and the impact on surgical decisions
Investigating the loading behaviour of intact and meniscectomy knee joints and the impact on surgical decisions M. S. Yeoman 1 1. Continuum Blue Limited, One Caspian Point, Caspian Way, CF10 4DQ, United
More informationStudy on the control of variable resistance for isokinetic muscle training system
Technology and Health Care 25 (2017) S45 S52 DOI 10.3233/THC-171305 IOS Press S45 Study on the control of variable resistance for isokinetic muscle training system Lan Wang, Zhenyuan Zhang, Yi Yu and Guangwei
More informationAN APPROACH TO ESTIMATING CALORIC EXPENDITURE DURING EXERCISE ACTIVITY USING NON-INVASIVE KINECT CAMERA. A Thesis. Presented to
AN APPROACH TO ESTIMATING CALORIC EXPENDITURE DURING EXERCISE ACTIVITY USING NON-INVASIVE KINECT CAMERA A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the
More informationHipNav: Pre-operative Planning and Intra-operative Navigational Guidance for Acetabular Implant Placement in Total Hip Replacement Surgery
Proc. of the Computer Assisted Orthopaedic Surgery Symposium, Bern, Switzerland, November, 1995 HipNav: Pre-operative Planning and Intra-operative Navigational Guidance for Acetabular Implant Placement
More informationFES Standing: The Effect of Arm Support on Stability and Fatigue During Sit-to-Stand Manoeuvres in SCI Individuals
FES Standing: The Effect of Arm Support on Stability and Fatigue During Sit-to-Stand Manoeuvres in SCI Individuals Musfirah Abd Aziz and Nur Azah Hamzaid Abstract Functional Electrical Stimulation (FES)
More informationAssessment of Reliability of Hamilton-Tompkins Algorithm to ECG Parameter Detection
Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 6, 2012 Assessment of Reliability of Hamilton-Tompkins Algorithm to ECG Parameter
More informationNuclear Associates
Nuclear Associates 37-013 GARD Users Manual March 2005 Manual No. 37-013-1 Rev. 2 2004, 2005 Fluke Corporation, All rights reserved. Printed in U.S.A. All product names are trademarks of their respective
More informationLION. Application Note PRECISION. Linear Position Measurement with Eddy-Current Sensors. LA March, Applicable Equipment: Applications:
LION PRECISION Application Note LA02-0061 March, 2013 Linear Position Measurement with Eddy-Current Sensors Position, Displacement Applicable Equipment: Eddy-Current position measurement systems. Applications:
More informationDesign of Context-Aware Exercise Measurement SoC Based on Electromyogram and Electrocardiogram
Design of Context-Aware Exercise Measurement SoC Based on Electromyogram and Electrocardiogram Seongsoo Lee Abstract Exercise measurement is an important application of smart healthcare devices. Conventional
More informationIn Vivo Kinematic Analysis of the Hip during Activities of Daily Living.
In Vivo Kinematic Analysis of the Hip during Activities of Daily Living. Daisuke Hara 1, Yasuharu Nakashima 1, Satoshi Hamai 1, Hidehiko Higaki 2, Takeshi Shimoto 3, Satoru Ikebe 2, Mio Akiyama 1, Masanobu
More informationInternational Journal on Bioinformatics & Biosciences (IJBB) Vol.6, No.3/4, December 2016
EFFECT OF POSTURAL CONTROL BIOMECHANICAL GAIN ON PSYCHOPHYSICAL DETECTION THRESHOLDS IN ANTERIOR HORIZONTAL TRANSLATION OF STANDING BLINDFOLDED SUBJECTS Shahrokh N Sani 1 and Charles J Robinson 2 1 Department
More informationCoordination indices between lifting kinematics and kinetics
Industrial and Manufacturing Systems Engineering Publications Industrial and Manufacturing Systems Engineering 2008 Coordination indices between lifting kinematics and kinetics Xu Xu North Carolina State
More informationTakashi Fukaya, 1 Hirotaka Mutsuzaki, 2 Hirofumi Ida, 3 and Yasuyoshi Wadano Introduction
Rehabilitation Research and Practice Volume 2012, Article ID 586348, 6 pages doi:10.1155/2012/586348 Research Article Two Different Protocols for Knee Joint Motion Analyses in the Stance Phase of Gait:
More informationKnee Android Model Reproducing Internal-External Rotation with Screw-Home Movement of the Human Knee
Journal of Robotics, Networking and Artificial Life, Vol. 3, No. 2 (September 2016), 69-73 Knee Android Model Reproducing Internal-External Rotation with Screw-Home Movement of the Human Knee Daichi Yamauchi,
More informationWHITE PAPER. Efficient Measurement of Large Light Source Near-Field Color and Luminance Distributions for Optical Design and Simulation
Efficient Measurement of Large Light Source Near-Field Color and Luminance Distributions for Optical Design and Simulation Efficient Measurement of Large Light Source Near-Field Color and Luminance Distributions
More information11/18/13 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 informationCHANGES IN LOWER-LIMB MUSCLE FORCES WITH PROPHYLACTIC KNEE BRACING DURING LANDING AND STOP-JUMP TASKS
CHANGES IN LOWER-LIMB MUSCLE FORCES WITH PROPHYLACTIC KNEE BRACING DURING LANDING AND STOP-JUMP TASKS Katie Ewing 1, Rezaul Begg 2, Peter Lee 1 Department of Mechanical Engineering, University of Melbourne,
More informationA marker set for measuring the kinematics of the lumbar spine and thoracic spine during running : a technical note
A marker set for measuring the kinematics of the lumbar spine and thoracic spine during running : a technical note Preece, SJ, Bramah, C and Mason, D 10.14198/jhse.2016.113.07 Title Authors Type URL A
More informationWEARABLE MASTER-SLAVE TRANING DEVICE FOR LOWER LIMB CONSTRUCTED WITH PNEUMATIC RUBBER ARTIFICIAL MUSCLES
P1-4 Proceedings of the 7th JFPS International Symposium on Fluid Power, TOYAMA 28 September 1-18, 28 WEARABLE MASTER-SLAVE TRANING DEVICE FOR LOWER LIMB CONSTRUCTED WITH PNEUMATIC RUBBER ARTIFICIAL MUSCLES
More informationDesign of the HRV Analysis System Based on AD8232
207 3rd International Symposium on Mechatronics and Industrial Informatics (ISMII 207) ISB: 978--60595-50-8 Design of the HRV Analysis System Based on AD8232 Xiaoqiang Ji,a, Chunyu ing,b, Chunhua Zhao
More informationAN INSTRUMENT FOR THE BEDSIDE QUANTIFICATION OF SPASTICITY: A PILOT STUDY
AN INSTRUMENT FOR THE BEDSIDE QUANTIFICATION OF SPASTICITY: A PILOT STUDY T.A.T. Hughes 1, B.J. Western 2, M. Thomas 2, R.W.M. van Deursen 3, H. Griffiths 2 1 Department of Medicine (Neurology), University
More informationCurrent Usage Reduction Through Stiffness Control in Humanoid Robot
Current Usage Reduction Through Stiffness Control in Humanoid Robot Juan M. Calderon 1, 2, Ercan Elibol 1, Wilfrido Moreno 1, Alfredo Weitzenfeld 1 1 College of Engineering, University of South Florida,
More informationfor Heart-Health Scanning
Magnetocardiography for Heart-Health Scanning CardioMag Imaging, Inc. 1 Basic Principles of Magnetocardiography (MCG) The cardiac electric activity that produces a voltage difference on the body surface
More informationA Kinematic Assessment of Knee Prosthesis from Fluoroscopy Images
Memoirs of the Faculty of Engineering, Kyushu University, Vol. 68, No. 1, March 2008 A Kinematic Assessment of Knee Prosthesis from Fluoroscopy Images by Mohammad Abrar HOSSAIN *, Michihiko FUKUNAGA and
More informationEfficient Measurement of Large Light Source Near-field Color and Luminance Distributions for Optical Design and Simulation
Efficient Measurement of Large Light Source Near-field Color and Luminance Distributions for Optical Design and Simulation Hubert Kostal*, Douglas Kreysar, Ronald Rykowski Radiant Imaging, Inc., 22908
More informationAnalysis of Human Standing-up Motion Based on Distributed Muscle Control
Analysis of Human Standing-up Motion Based on Distributed Muscle Control Qi AN, Yusuke IKEMOTO 2, Hajime ASAMA, and Tamio ARAI Abstract In developed countries, an aging society has become a serious issue;
More informationECHORD call1 experiment MAAT
ECHORD call1 experiment MAAT Multimodal interfaces to improve therapeutic outcomes in robot-assisted rehabilitation Loredana Zollo, Antonino Salerno, Eugenia Papaleo, Eugenio Guglielmelli (1) Carlos Pérez,
More informationSTUDY ON STRUCTURE OF PZT PILES BASED TRANSDUCER FOR HARVESTING ENERGY FROM ASPHALT PAVEMENT
STUDY ON STRUCTURE OF PZT PILES BASED TRANSDUCER FOR HARVESTING ENERGY FROM ASPHALT PAVEMENT Hongduo Zhao * Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University,
More informationDevelopment of a portable system for vibration stimulation to improvement of walking stability
Development of a portable system for vibration stimulation to improvement of walking stability Min-Hwa Park and Dong-Wook Kim Abstract Postural equilibrium refers to the ability to maintain the balance
More informationFigure 1: Weight bearing apparatus to measure knee contact area.
Technical note A Device for Inducing Active Lengthening Muscle Contractions for Dynamic MR Imaging Eric Bader, Arinne Lyman, Sarajane Stevens, Christopher Westphal, Darryl Thelen and Amy Silder. Abstract:
More informationAccurate Estimation of Mechanical Load on the Musculoskeletal System Using Biomechanics Modelling
Accurate Estimation of Mechanical Load on the Musculoskeletal System Using Biomechanics Modelling António Veloso, Sílvia Cabral, Filipa João, Vera Moniz-Pereira, http://neuromechanics.fmh.ulisboa.pt/ Biomechanics
More informationBIOMECHANICS AND MOTOR CONTROL OF HUMAN MOVEMENT
BIOMECHANICS AND MOTOR CONTROL OF HUMAN MOVEMENT Fourth Edition DAVID A. WINTER University of Waterloo, Waterloo, Ontario, Canada JOHN WILEY & SONS, INC. Biomechanics and Motor Control of Human Movement,
More informationThe ADL Force 5 configured for knee testing
The ADL Force 5 configured for knee testing Description The AMTI Force 5 is a versatile simulator that can be configured for a variety of single and multiaxis tests, such as joint simulation, product testing,
More informationCONTROL OF THE BOUNDARY CONDITIONS OF A DYNAMIC KNEE SIMULATOR
CONTROL OF THE BOUNDARY CONDITIONS OF A DYNAMIC KNEE SIMULATOR J. Tiré 1, J. Victor 2, P. De Baets 3 and M.A. Verstraete 2 1 Ghent University, Belgium 2 Ghent University, Department of Physical Medicine
More information