Detection of involuntary human hand motions using Empirical Mode Decomposition and Hilbert-Huang Transform
作者： James Z. Zhang , Brant T. Price , Robert D. Adams , Kenneth Burbank , Theodore J. Knaga
DOI: 10.1109/MWSCAS.2008.4616760
关键词:
摘要: Involuntary human hand motions, or tremors, are normally regarded as a non-stationary process. Traditional analysis methods approximate tremor signals stationary processes. In this paper, we present novel detection method using Empirical Mode Decomposition (EMD) and Hilbert-Huang Transform (HHT). The results expected to be helpful for real-time suppression.
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