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Our previous study has shown the potential of using a computer system to accurately decode electromyographic (EMG) signals for neural controlled artificial legs. Because of computation complexity of the training algorithm coupled with real time requirement of controlling artificial legs, traditional embedded systems generally cannot be directly applied to the system. This paper presents a new design...
Time-frequency representations (TFRs) of signals are increasingly being used in biomedical research. Analysis of such representations is sometimes difficult, however, and is often reduced to the extraction of ridges, or local energy maxima. In this paper, we describe a new ridge extraction method based on the image processing technique of active contours or snakes. We have tested our method on several...
Results are presented on the musculoskeletal system modeling and validation phase of a broader research program which is directed toward the development of a simulation system for the total wheelchair propulsion system. The modeling and validation process itself consists of four areas of research: (i) the determination of architectural models for the selected upper-extremity muscles, (ii) the physical...
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