Comparison of Conductive Fabric Electrode With Electromyography to Evaluate Knee Joint Movement

This paper describes a conductive fabric electrode which includes much more surface area compared to an Ag/AgCl electrode using a bioimpedance measurement method and compares a conductive fabric electrode with electromyography to evaluate knee joint movement. Both bioimpedance changes and EMG from 15 subjects were reliable as their values exist within ±1.96 STD. The coefficient of variation from bioimpedance changes was 0.07 and the coefficient of variation from EMG was 0.33. As a result, for viewing in joint angles to estimate knee joint movements, a bioimpedance measurement method using a conductive fabric electrode was more sensitive than electromyography. In addition, a conductive fabric electrode is more effective to impedance changes than an Ag/AgCl electrode. Moreover, while an Ag/AgCl electrode cannot be used continuously, as the electrodes are designed to be disposable, a conductive fabric electrode is feasible for continuous use.

[1]  R Wytch,et al.  Instrumentation used in clinical gait studies: a review. , 1989, Journal of medical engineering & technology.

[2]  S. C. Kim,et al.  Optimum electrode configuration for detection of arm movement using bio-impedance , 2003, Medical and Biological Engineering and Computing.

[3]  P A Tesch,et al.  Quadriceps EMG/force relationship in knee extension and leg press. , 2000, Medicine and science in sports and exercise.

[4]  Ki Chang Nam,et al.  Optimum electrode configuration for detection of leg movement using bio-impedance. , 2005, Physiological measurement.

[5]  John G. Webster,et al.  Medical Instrumentation: Application and Design , 1997 .

[6]  John Miller Cooper,et al.  The biomechanics of human movement , 1989 .

[7]  D. Farina,et al.  Effect of joint angle on EMG variables in leg and thigh muscles , 2001, IEEE Engineering in Medicine and Biology Magazine.

[8]  Zhongwei Jiang,et al.  A novel wearable sensor device with conductive fabric and PVDF film for monitoring cardiorespiratory signals , 2006 .

[9]  T. Nakamura,et al.  Evaluation system of physical exercise ability using bio-electrical impedance , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).