Summary: | 碩士 === 國立成功大學 === 醫學工程學系 === 84 === The aim of this study is to develop a real-time EMG analysis
system, based on the TMS320C40 DSP system, for on-site
visualization of EMG measurement quality and for direct
observation of firing characteristics of surface MUAPs. The
real-time EMG analysis system consists of digital signal
processing system (C40), A/D converter, and personal computer
(PC). A multistage approach for surface MUAPs analysis,
including signal preprocessing, digital spatial filter,
detection of dominate MUAPs, and analysis of firing rate, is
implemented in this study. Joint interval histogram (JIH)
method is used to observe the firing pattern of dominate MUAPs.
The developed real-time EMG analysis system aims for two major
applications. One is for the on-site visualization of the EMG
quality for the time-course study of motor unit activity in
stroke patients. For surface MUAPs sampled at 5 kHz, we can
simultaneously monitor and store EMG data for total length of
22 seconds. The EMG data can also be on-line processed for
firing characteristization. Another application is to provide
visual biofeedback for laboratory study of motor control. From
the multistage processing of surface MUAPs, the plot of JIH
contour of every 0.25 sec period can be real-time displayed as
the source for visual biofeedback. Our experiments show that
the firing characteristics of MUAPs can be controlled via the
biofeedback.
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