Title of article :
Sensor systems for lower limb functional electircal stimulation (FES) control
Author/Authors :
Williamson، نويسنده , , Richard and Andrews، نويسنده , , Brian J، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2000
Pages :
13
From page :
313
To page :
325
Abstract :
Two sensor systems comprising clusters of accelerometers, magnetic sensors, a rate gyroscope, and a strain gauge were designed. For one system, the clusters were located at the belt and AFO. In the other system, the clusters were located at the AFO and the thigh. The maximum cluster size was 14 cm3 and 75 g. The clusters of each sensor system were interconnected by a single flexible wire bus, which minimized the effects of cabling. The sensors detected five phases of normal gait to a resolution of 40 ms in an able bodied test. Using a threshold method, the sensor system repeatedly predicted an incipient knee buckle in a paraplegic individual by a minimum of 30 ms. One system detected knee flexion angle analytically to an accuracy of 3.2° during sit to stand trials. The second system determined knee and hip flexion angle to an accuracy of 3.8° during sit to stand trials through neural networks. The signal processing of the acquired sensor signals in each system was performed on a MC68332 microcomputer in conjunction with the data sampling, and suggested the possibility for each sensor system to be used in real time control of FES.
Keywords :
Electrical stimulation , accelerometers , Rate gyroscopes , Sensors systems , Machine Learning
Journal title :
Medical Engineering and Physics
Serial Year :
2000
Journal title :
Medical Engineering and Physics
Record number :
1727145
Link To Document :
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