Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network

Pankaj Jadhav; Gaurav Rajguru; Debabrata Datta; Siddhartha Mukhopadhyay

doi:10.1016/j.bbe.2020.01.010

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Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network

Pankaj Jadhav Gaurav Rajguru Debabrata Datta Siddhartha Mukhopadhyay

Year: 2020 Journal: Journal of Applied Biomedicine Vol: 40 (1)Pages: 494-504 Publisher: Elsevier BV

DOI: 10.1016/j.bbe.2020.01.010

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) Electroencephalography Convolution (computer science) Feature extraction Continuous wavelet transform Channel (broadcasting) SIGNAL (programming language) Transfer of learning Convolutional neural network Deep learning Artificial neural network Sleep Stages Time–frequency analysis Feature (linguistics) Wavelet Speech recognition Wavelet transform Computer vision Polysomnography Discrete wavelet transform Telecommunications

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network

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