Data Mining in Analysis of Biomechanical Signals

Abstract:

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In the paper the procedure of processing biomechanical data has been proposed. It consists of selecting proper noiseless data, preprocessing data by means of model’s identification and Kernel Principal Component Analysis and next classification using decision tree. The obtained results of classification into groups (normal and two selected pathology of gait: Spina Bifida and Cerebral Palsy) were very good.

Info:

Periodical:

Solid State Phenomena (Volumes 147-149)

Edited by:

Zdzislaw Gosiewski and Zbigniew Kulesza

Pages:

588-593

DOI:

10.4028/www.scientific.net/SSP.147-149.588

Citation:

M. Derlatka and J. Pauk, "Data Mining in Analysis of Biomechanical Signals", Solid State Phenomena, Vols. 147-149, pp. 588-593, 2009

Online since:

January 2009

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Price:

$35.00

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