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Event identification in movement recordings by means of qualitative patterns

Event identification in movement recordings by means of qualitative patterns We present a pattern-matching technique for detecting events in movement recordings. The events are defined as sequences of qualitative changes in the speed and/or the higher order derivatives (e.g., in a speed peak, the acceleration changes from positive to negative). The technique uses qualitative patterns that are sequences of qualitative states (e.g., negative, infinitesimal, positive…) of the speed and the higher order derivatives. A fast pattern-matching algorithm is presented. Its sensitivity can be tuned by means of a filtering parameter, and a multiscale analysis method is proposed for detecting events of different amplitudes and durations. An application to the assessment of the irregularity of rapid movement in Parkinson’s disease is presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

Event identification in movement recordings by means of qualitative patterns

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Publisher
Springer Journals
Copyright
Copyright © 2003 by Humana Press Inc
Subject
Biomedicine; Neurosciences; Computer Appl. in Life Sciences; Neurology; Biotechnology; Computational Biology/Bioinformatics
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1385/NI:1:3:239
pmid
15046246
Publisher site
See Article on Publisher Site

Abstract

We present a pattern-matching technique for detecting events in movement recordings. The events are defined as sequences of qualitative changes in the speed and/or the higher order derivatives (e.g., in a speed peak, the acceleration changes from positive to negative). The technique uses qualitative patterns that are sequences of qualitative states (e.g., negative, infinitesimal, positive…) of the speed and the higher order derivatives. A fast pattern-matching algorithm is presented. Its sensitivity can be tuned by means of a filtering parameter, and a multiscale analysis method is proposed for detecting events of different amplitudes and durations. An application to the assessment of the irregularity of rapid movement in Parkinson’s disease is presented.

Journal

Neuroinformatics – Springer Journals

Published: Jun 6, 2007

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