2014
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2
Analysis of SkeletalMusclePerformanceUsing
PiezoelectricFilmssensors
3.2. Signal Processing
The EMG signals were filtered off-line,
using aButterworth low-pass filter.
The linear envelopes, RMS and power
spectrumwere performed.
The positive values of the raw
piezoelectric datawere rectified. Then
themaximal values of the negative
phasewere derived.
4.1. EMG vs DTPiezoelectric film sensor
4.2. Detection ofmuscle fatigue
4.3. Response toan increase intensity
4.
Results
The piezoelectric sensors canbeutilized todetectmuscle contraction.
The piezoelectric sensors candetect skeletal muscles fatigue.
Inverse linear relationship (R²=0.975) was found between the amplitudes of theEMG
and the piezoelectric sensor signals with the increasedmuscle load.
5.
Conclusions
PT= -0.0016*EMG+1.6784
R²=0.9752
Student name:
Emanuel Kusayev
Department: Medical Engineering
Advisor name:
Dr.Anat Ratnovsky
