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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Autors principals:	K. E. Ch Vidyasagar, K. Revanth Kumar, G. N. K. Anantha Sai, Munagala Ruchita, Manob Jyoti Saikia
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Biomedical signal analysis convolutional neural networks deep learning machine learning physiological signals signal-to-image conversion
Accés en línia:	https://ieeexplore.ieee.org/document/10526275/
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