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Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review

Physiological signals obtained from electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG) provide valuable clinical information but pose challenges for analysis due to their high-dimensional nature. Traditional machine learning techniques, relying on hand-crafted featur...

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Principais autores: K. E. Ch Vidyasagar, K. Revanth Kumar, G. N. K. Anantha Sai, Munagala Ruchita, Manob Jyoti Saikia
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Biomedical signal analysis
convolutional neural networks
deep learning
machine learning
physiological signals
signal-to-image conversion
Online adgang:https://ieeexplore.ieee.org/document/10526275/
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