A small-sample time-series signal augmentation and analysis method for quantitative assessment of bradykinesia in Parkinson's disease
Zhilin Shu,
Peipei Liu,
Yuanyuan Cheng
et al.
Abstract:Patients with Parkinson's disease (PD) usually have varying degrees of bradykinesia, and the current clinical assessment is mainly based on the Movement Disorder Society Unified PD Rating Scale, which can hardly meet the needs of objectivity and accuracy. Therefore, this paper proposed a small-sample time series classification method (DTW-TapNet) based on dynamic time warping (DTW) data augmentation and attentional prototype network. Firstly, for the problem of small sample sizes of clinical data, a DTW-based … Show more
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