Cross Spectrum Aided Deep Feature Extraction Based Neuromuscular Disease Detection Framework

IEEE Sensors Letters(2020)

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摘要
In this letter, a novel neuromuscular disease detection framework employing cross-wavelet spectrum (XWS) based deep feature extraction is proposed. In joint time–frequency analysis, cross-wavelet transform (XWT) is an important tool which provides the degree of correlation between two time series in both time scale and time–frequency plane. In this present contribution, XWT of healthy, myopathy, a...
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关键词
Sensor applications,cross-wavelet transform (XWT),classification,residual network,deep learning and electromyography signals
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