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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/40628
Title: Estimation the center of pressure with bi-planar postural stability model and neural network system
Authors: Thunyanoot Prasertsakul
Warakorn Charoensuk
Mahidol University
Keywords: Engineering
Issue Date: 4-Feb-2016
Citation: BMEiCON 2015 - 8th Biomedical Engineering International Conference. (2016)
Abstract: © 2015 IEEE. Postural stability is a necessary activity for human livings. To understand this behavioral function can perform by using instruments or clinical assessments. Motion analysis is a famous method to analyze the motion pattern in healthy people or patients with dysfunctional movement which provide information in 3-dimension. To analyze the information can acquire from various methods and must compute with a specific software. Applying other methods, such as mathematical models, utilizes to describe mechanism of the postural stability in humans. The proposed study applies two mathematical models that explain the movement patterns in lateral and frontal planes for determination the position of center of pressure with the coordination in 3-dimension. The neural network model is used to estimate the position of center of pressure. The results from both systems indicate that these systems can be applied to estimate the position of center of pressure; however, the errors from mathematical models are lessor than another.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84969263287&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/40628
Appears in Collections:Scopus 2016-2017

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