Detection of involuntary human hand motions using Empirical Mode Decomposition and Hilbert-Huang Transform

Involuntary human hand motions, or tremors, are normally regarded as a non-stationary process. Traditional analysis methods approximate tremor signals as stationary processes. In this paper, we present a novel tremor detection method using Empirical Mode Decomposition (EMD) and Hilbert-Huang Transform (HHT). The results are expected to be helpful for real-time tremor suppression.