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A novel discrimination method of Parkinsonian tremor from essential tremor is presented in this paper. The method uses the approximate power spectral density of specific sub-bands, which is estimated using a soft-decision wavelet-based decomposition of EMG and accelerometer signals. Selection of specific sub-bands of the spectrum of two EMG signals and accelerometer signal has been implemented to...
A wavelet-decomposition with soft decision algorithm is used to estimate an approximate power spectral density (PSD) of R–R intervals (RRI) of ECG data for the purpose of screening of congestive heart failure (CHF) from normal subjects. The ratio of the power in the low-frequency (LF) band to the power in the high-frequency (HF) band of the RRI signal is used as the classification factor. The trial...
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