Wavelet Analysis of Electromyography For Back Muscle Fatigue Detection During Isokinetic Constant-Torque Exertions

Abstract

This study demonstrates that assessment of trunk muscle fatigue during isokinetic movementis possible using both Fourier and wavelet measurements. However, the methods were not as likely to change significantly during lower rates of exertion. These methods, when implemented in a controlled setting, may be used to document the rehabilitation process and guide preventive exercise training.

Continuous Wavelet Analysis and Classification of Surface Electromyography Signals

“…However, obtaining the frequency content alone is not sufficient for analysing bio-medical signals due to it being non-stationary in nature [2], [3]. Fourier transform loses the time information after transforming time-based signal to frequency-based signal.…”

“…The mean frequency (MDF) is the average of all frequencies from the power spectrum and can be expressed as in (3) where P() is the power spectrum of the signal.…”

“…It is essential and in the interest of analysing bio-signal to obtain 'time-based' information of when a particular frequency content occurs [3], [7]. Wavelet transform is a method capable of achieving this which is so called the time-frequency content or the time-frequency based representation.…”

“…The application of wavelet transform in analysing biological signals has only become increasingly developed in the last fifteen years [3], [9]. The wavelet theory is a relatively recent mathematical development where its application is a potentially promising and exciting area of research.…”

VHDL Modelling of Fixed-point DWT for the Purpose of EMG Signal Denoising

“…Its time-frequency resolution plane provides good time localization at high frequencies and improved frequency discrimination at low frequencies [9]. It has found numerous applications in data compression and feature enhancement for images, speech, and biosignals [10], [11], [12] The rapid changing technology introducing much more development to Electronic Design Automation (EDA) tools which in turn reduce the design cycle, complexity and valuable time to the programmer. However, the VHDL based algorithm development and design process not yet free from complexity and time killing.…”