A computerized mathematical model for studying nonlinear functional characteristics of skeletal muscle activity

K.W. Wasson and T. Prasad

Mathematics and Computers in Simulation (MATCOM), 1984, vol. 26, issue 2, 136-147

Abstract: Diagnosis of many neural disorders requires a good understanding of the skeletal muscle activity (SMA). A new mathematical formulation is developed in this context, which leads to a general computer-aided identification procedure, based on input-output observations. The methodology uses Wiener's functional expansions, thereby exposing the linear, as well as the nonlinear operating features of the SMA system. The essentials of a computational scheme for evaluating the kernels are also outlined. An example using real-life data demonstrates the validity of the proposed technique. The results show that the algorithm can be used for clinical testing of certain myopathies and neuropathies.

Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:26:y:1984:i:2:p:136-147

DOI: 10.1016/0378-4754(84)90045-4

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