论文信息 - Analysis of Parkinson gait based on wavelet packet entropy

Analysis of Parkinson gait based on wavelet packet entropy

In this paper we show the possibility of using wavelet packet to analysis and characterize the gait signal of patients with Parkinson disease. Entropy has been defined to help extract the feature from results of wavelet packet decomposition. And the assessment of results has been performed by the means of T-test, showing that control group and PD group are statistically different from each other and our procedure based on wavelet packet could be applied to feature extraction of gait data.

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