| Summary: | 碩士 === 國立成功大學 === 醫學工程研究所碩博士班 === 96 === Those surviving strokes may be left with physical impairments deeply affecting the
activities of daily living and quality of life. Patients with asymmetrical lower limb
functions are difficult to perform continuous and smooth reciprocal movements in the
lower limb, such as walking and cycling. To enhance residual functions of patients with
partial motor disorders, electrical stimulation (ES) combined with cycling exercise has
been utilized as a rehabilitation technology recently. For the limb with residual function,
during stimulating, muscle contraction is generated from two different excitation sources:
volitional and external electrical stimulation. This muscle activation is referred as hybrid
muscle activation. The aim of this study is to develop an EMG recording system, which
includes the stimulus artifact suppressor and software and hardware implementation for
extracting volitional and ES-induced EMG signals in dynamic movement during functional
electrical therapy (FET). The separation of electrically evoked EMG and EMG interference
can represent the force induced by the electrical stimulation and residual movement ability
of the stroke subject. In addition, we design Peak-to-Peak (PTP) detector for real-time
measurement of PTP amplitude of ES-induced EMG. Our pilot results show that signal
processing can separate volitional and stimulus EMG from artifact-free overall EMG. The
PTP detector can accurately and sensitively capture PTP value of stimulus-induced EMG during dynamic movement. The information acquired can serve as a training protocol or a
control strategy for an FES-cycling induced by hybrid muscle activation in future study which therefore would benefit wide ranges of physically handicapped including stroke, incomplete SCI, and able-bodied elderly with varied volitional muscle functions.
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