Paper Title:
Data Mining in Analysis of Biomechanical Signals
  Abstract

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, 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
$32.00
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