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

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• 作者：Salam Nema^a ; ^{s.nema@mmu.ac.uk} ; Piotr Kowalczyk^a ; Ian Loram^b
• 关键词：Switched systems ; Wavelets ; Normalized Hilbert transform ; Discontinuities ; Instantaneous frequency
• 刊名：Human Movement Science
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：51
• 期：Complete
• 页码：27-40
• 全文大小：2291 K
• 卷排序：51

文摘

We provide a methodology for detecting discontinuities in time series data. We combine the advantages of Wavelet decomposition technique and Normalized Hilbert Transform. As a test-bed, we use a switched model of human balance control during quiet standing. We observe peaks in the time-frequency representation of the simulated and experimental data. Our results support the theory of intermittent control of human quiet standing.