Hand Tremor Detection via Adaptive Empirical Mode Decomposition and Hilbert-Huang Transform

This paper, from engineering and technology scholars at Purdue University and Western Carolina University, discusses involuntary human hand motions, or tremors. "Due to its nonlinear and non-stationary nature," information about the amplitude and frequency of tremors at specified times is needed for accurate suppression. The authors discuss their research using a new mathematical method called Empirical Mode Decomposition (EMD) to analyze tremor signals, as well as a method called the Hilbert-Huang Transform.