Using feed-forward neural network for complex static balance signal characterization with chaotic features

In this paper largest Lyapunov exponent and low frequency power ratio of the Center-of-Pressure (COP) signal are calculated and considered as two discriminative features to characterize prolonged standing and its effect on postural control in elderly individuals in comparison to adults. It is unknow...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2014, Vol.27 (6), p.3197-3204
Hauptverfasser:	Siahi, Mehdi, Rahatabad, Fereidoun Nowshiravan, Khayat, Omid, Razjouyan, Javad, Nejad, Hadi Chahkandi
Format:	Artikel
Sprache:	eng
Schlagworte:	Balancing Chaos theory Elderly people Low frequencies Lyapunov exponents Mathematical analysis Neural networks Standard deviation Tasks
Online-Zugang:	Volltext
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