e-space
Manchester Metropolitan University's Research Repository

Wavelet-frequency analysis for the detection of discontinuities in switched system models of human balance

Nema, S and Kowalczyk, P and Loram, I (2017) Wavelet-frequency analysis for the detection of discontinuities in switched system models of human balance. Human Movement Science, 51. pp. 27-40. ISSN 0167-9457

[img]
Preview

Download (405kB) | Preview

Abstract

This paper is concerned with detecting the presence of switching behavior in experimentally obtained posturographic data sets by means of a novel algorithm that is based on a combination of wavelet analysis and Hilbert transform. As a test-bed for the algorithm, we first use a switched model of human balance control during quiet standing with known switching behavior in four distinct configurations. We obtain a time-frequency representation of a signal generated by our model system. We are then able to detect manifestations of discontinuities (switchings) in the signal as spiking behavior. The frequency of switchings, measured by means of our algorithm and detected in our models systems, agrees with the frequency of spiking behavior found in the experimentally obtained posturographic data.

Impact and Reach

Statistics

Downloads
Activity Overview
54Downloads
65Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

Edit Item Edit Item