%0 Journal Article
%T Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals.
%A Hossen A
%A Deuschl G
%A Groppa S
%A Heute U
%A Muthuraman M
%J Technol Health Care
%V 28
%N 5
%D 2020
%M 32280070
%F 1.205
%R 10.3233/THC-191947
%X <B>OBJECTIVE: </B>Although careful clinical examination and medical history are the most important steps towards a diagnostic separation between different tremors, the electro-physiological analysis of the tremor using accelerometry and electromyography (EMG) of the affected limbs are promising tools.<BR><B>METHODS: </B>A soft-decision wavelet-based decomposition technique is applied with 8 decomposition stages to estimate the power spectral density of accelerometer and surface EMG signals (sEMG) sampled at 800 Hz. A discrimination factor between physiological tremor (PH) and pathological tremor, namely, essential tremor (ET) and the tremor caused by Parkinson's disease (PD), is obtained by summing the power entropy in band 6 (B6: 7.8125-9.375 Hz) and band 11 (B11: 15.625-17.1875 Hz).<BR><B>RESULTS: </B>A discrimination accuracy of 93.87% is obtained between the PH group and the ET & PD group using a voting between three results obtained from the accelerometer signal and two sEMG signals.<BR><B>CONCLUSIONS: </B>Biomedical signal processing techniques based on high resolution wavelet spectral analysis of accelerometer and sEMG signals are implemented to efficiently perform classification between physiological tremor and pathological tremor.