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Evolutionary Methods for Analysis of Human Movement

Evolutionary Methods for Analysis of Human Movement

Rahman Davoodi, Gerald E. Loeb
Copyright: © 2006 |Pages: 18
ISBN13: 9781591408369|ISBN10: 1591408369|EISBN13: 9781591408383
DOI: 10.4018/978-1-59140-836-9.ch010
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MLA

Davoodi, Rahman, and Gerald E. Loeb. "Evolutionary Methods for Analysis of Human Movement." Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques, edited by Rezaul Begg and Marimuthu Palaniswami, IGI Global, 2006, pp. 281-298. https://doi.org/10.4018/978-1-59140-836-9.ch010

APA

Davoodi, R. & Loeb, G. E. (2006). Evolutionary Methods for Analysis of Human Movement. In R. Begg & M. Palaniswami (Eds.), Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques (pp. 281-298). IGI Global. https://doi.org/10.4018/978-1-59140-836-9.ch010

Chicago

Davoodi, Rahman, and Gerald E. Loeb. "Evolutionary Methods for Analysis of Human Movement." In Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques, edited by Rezaul Begg and Marimuthu Palaniswami, 281-298. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-836-9.ch010

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Abstract

A movement rehabilitation therapist must first diagnose the cause of disability and then prescribe therapies that specifically target the dysfunctional unit of the movement system. Objective diagnosis and prescription are difficult, however, because human movement is the result of complicated interactions among complex and highly nonlinear elements. Treatment based on limited observations may target the wrong element of the movement system. Researchers in central nervous system (CNS) control of human movement and functional electrical stimulation (FES) restoration of movement to paralyzed limbs face similar challenges in objective analysis of the integrated movement system. In this chapter, we will present evolutionary methods as powerful new tools for analysis and rehabilitation of human movement. These methods have been modeled after the same biological processes that have been optimized for the control of human movement in the process of biological evolution. Therefore, it is logical to think that these methods, if applied properly, could help us understand the control of human movement and repair it when it is disabled. A case study demonstrates the potential of evolutionary methods in movement analysis and rehabilitation.

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