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[The current situation and development of tremor signals analysis].

Tremor, a rhythmic and involuntary oscillatory movement of one or several body parts, is the movement resulting from the abnormal synchronization of motor neural units. Detecting and analyzing the ACC, EMG and EEG signals of tremor patients by signal processing methods are very important for clinical diagnosis, rating evaluation and detection of incipient illness. This paper introduces the applications of time domain,frequency domain, artificial neural network, high order accumulation, approximate entropy, fuzzy, chaos, discriminant analysis in the researches of tremor signals, and finally points out the application foreground of researches on tremor signals.