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Biomedical Signal Processing and Artificial Intelligence in Healthcare Zgallai

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Biomedical Signal Processing and Artificial Intelligence in Healthcare

Presents comprehensive coverage of biomedical signal processing, including the latest advances and applications

Walid A. Zgallai (Edited by)

9780128189467, Elsevier Science

Paperback / softback, published 29 July 2020

268 pages

23.4 x 19 x 1.8 cm, 0.57 kg

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificia]

Biomedical Signal Processing and Artificial Intelligence in Healthcare Zgallai

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Presents comprehensive coverage of biomedical signal processing, including the latest advances and applications

Walid A. Zgallai (Edited by)

9780128189467, Elsevier Science

Paperback / softback, published 29 July 2020

268 pages

23.4 x 19 x 1.8 cm, 0.57 kg

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificia]

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