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Titolo:
A review of analytical techniques for gait data. Part 2: neural network and wavelet methods
Autore:
Chau, T;
Indirizzi:
Bloorview MacMillan Ctr, Toronto, ON M4G 1R8, Canada Bloorview MacMillan Ctr Toronto ON Canada M4G 1R8 nto, ON M4G 1R8, Canada Univ Toronto, Inst Biomat & Biomed Engn, Toronto, ON, Canada Univ TorontoToronto ON Canada Biomat & Biomed Engn, Toronto, ON, Canada
Titolo Testata:
GAIT & POSTURE
fascicolo: 2, volume: 13, anno: 2001,
pagine: 102 - 120
SICI:
0966-6362(200104)13:2<102:AROATF>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
MACHINE LEARNING TECHNIQUES; PROJECTION PURSUIT; PRESSURE PATTERNS; FRACTAL DYNAMICS; HUMAN MOVEMENT; COMPONENT; SIGNALS; WALKING; INCLINE; SPEED;
Keywords:
automatic data processing; artificial neural networks; wavelets; gait analysis;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
95
Recensione:
Indirizzi per estratti:
Indirizzo: Chau, T Bloorview MacMillan Ctr, 350 Rumsey Rd, Toronto, ON M4G 1R8, Canada Bloorview MacMillan Ctr 350 Rumsey Rd Toronto ON Canada M4G 1R8 da
Citazione:
T. Chau, "A review of analytical techniques for gait data. Part 2: neural network and wavelet methods", GAIT POSTUR, 13(2), 2001, pp. 102-120

Abstract

Multivariate gait data have traditionally been challenging to analyze. Part 1 of this review explored applications of fuzzy, multivariate statisticaland fractal methods to gait data analysis. Part 2 extends this critical review to the applications of artificial neural networks and wavelets to gaitdata analysis. The review concludes with a practical guide to the selection of alternative gait data analysis methods. Neural networks are found to be the most prevalent non-traditional methodology for gait data analysis in the last 10 years. Interpretation of multiple gait signal interactions and quantitative comparisons of gait waveforms are identified as important dataanalysis topics in need of further research. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 04/04/20 alle ore 21:19:34