Recently, there has been a noticeable
increase in interest in solu
tions utilizing electrical signals
accompanying muscle activity. Electromyography (EMG) is a technique for recording, analysis and
evaluating the electrical activity produced by striated
muscle. Its great popularity is due, among other, to the
ability to measure with non-invasive electrodes (calle
d as sEMG surface electromyography). However, the
limitations of this method are the high costs of specia
lized measuring equipment,
and in particular the
systems of bioelectric signal preamplifier circuits.
The work presents the design of a low budget EMG signal
amplifier. It has been
designed and validated in
accordance with ISEK (International
Society of Electrophysiology and
Kinesiology) and SENIAM (Surface
ElectroMyGraphy for Non-Invasive Assessment of Muscles).
[1]
Luan Carlos de S. M. Ozelim,et al.
Low Cost Surface Electromyographic Signal Amplifier Based On Arduino Microcontroller
,
2014
.
[2]
Vladimir Medved,et al.
Standards for Reporting EMG Data
,
2000,
Journal of Electromyography and Kinesiology.
[3]
Piotr Kohut,et al.
Motion analysis of a kitesurfer employing a vision-based measurement system
,
2016
.
[4]
Brian J McKiernan,et al.
A low-cost, multi-channel, EMG signal processing amplifier
,
1998,
Journal of Neuroscience Methods.
[5]
Robert Barański,et al.
Problems in estimation of hand grip force based on EMG signal
,
2015
.