TY - GEN
T1 - Design and implementation of multichannel EMG for upper extremity myoelectric signal acquisition using IIR filter
AU - Rahmatillah, Akif
AU - Sofiah, Amila
AU - Widiyanti, Prihartini
N1 - Publisher Copyright:
© 2020 Author(s).
PY - 2020/12/9
Y1 - 2020/12/9
N2 - This study aimed at designing and implementing a multichannel EMG based on Infinite Impulse Response (IIR) filter and then compare its performance with the standard EMG devices. Hence, the design of this multichannel EMG system consists of two parts: Hardware and software. The hardware comprises instrumentation amplifier and NI DAQ USB 6009 as data acquisition device, while the software is composed of myoelectric signal processing (e.g. filtering, rectifying, and smoothing) and interface signal on personal computer (PC) using LabVIEW programming. To test the device, two procedures were performed, there were instrumentation test and performance test of the EMG device. The instrumentation test resulted in the gain value of instrumentation amplifier at 12.794 times with linearity of 0.9998. Moreover, the response of implemented Butterworth IIR filter is compatible with the design at the cut off frequency of 30-400 Hz and 50 Hz. For the performance test, quantitative and qualitative data recorded from normal male subjects aged of 20-40 were compared. The result showed that EMG prototype work as well as EMG comparison with relative error percentage for each value parameter of maximum, minimum, and average amplitude signals at 14.05885 %, 14.82683 %, and 14.0411 % respectively. Furthermore, the features of recorded signal for similar simultaneous movements using EMG prototype also share identical features with the recorded signal using standard EMG.
AB - This study aimed at designing and implementing a multichannel EMG based on Infinite Impulse Response (IIR) filter and then compare its performance with the standard EMG devices. Hence, the design of this multichannel EMG system consists of two parts: Hardware and software. The hardware comprises instrumentation amplifier and NI DAQ USB 6009 as data acquisition device, while the software is composed of myoelectric signal processing (e.g. filtering, rectifying, and smoothing) and interface signal on personal computer (PC) using LabVIEW programming. To test the device, two procedures were performed, there were instrumentation test and performance test of the EMG device. The instrumentation test resulted in the gain value of instrumentation amplifier at 12.794 times with linearity of 0.9998. Moreover, the response of implemented Butterworth IIR filter is compatible with the design at the cut off frequency of 30-400 Hz and 50 Hz. For the performance test, quantitative and qualitative data recorded from normal male subjects aged of 20-40 were compared. The result showed that EMG prototype work as well as EMG comparison with relative error percentage for each value parameter of maximum, minimum, and average amplitude signals at 14.05885 %, 14.82683 %, and 14.0411 % respectively. Furthermore, the features of recorded signal for similar simultaneous movements using EMG prototype also share identical features with the recorded signal using standard EMG.
UR - http://www.scopus.com/inward/record.url?scp=85098011366&partnerID=8YFLogxK
U2 - 10.1063/5.0036102
DO - 10.1063/5.0036102
M3 - Conference contribution
AN - SCOPUS:85098011366
T3 - AIP Conference Proceedings
BT - 2nd International Conference on Physical Instrumentation and Advanced Materials 2019
A2 - Trilaksana, Herri
A2 - Harun, Sulaiman Wadi
A2 - Shearer, Cameron
A2 - Yasin, Moh
PB - American Institute of Physics Inc.
T2 - 2nd International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2019
Y2 - 22 October 2019
ER -