Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning




Qaisar Saeed Mian, Nisar Humaira, Subasi Abdulhamit

PublisherSpringer International Publishing

Cham

2023

Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning

1

373

978-3-031-23238-1

978-3-031-23239-8

DOIhttps://doi.org/10.1007/978-3-031-23239-8

https://doi.org/10.1007/978-3-031-23239-8



Advances and applications in biomedical signal & image processing, machine and deep learning are presented

The cross disciplinary research in the fields of signal acquisition and sensing, measurement, analysis and biological sciences is described

The role of machine & deep learning in relation to processing biomedical signals and the applications in medicine and healthcare is evaluated

Several types of biomedical signals are introduced and their role in the prediction, diagnosis and prognosis of healthy and unhealthy conditions are explored

Alternative therapy technique based on the biofeedback for health and wellbeing is investigated. The implications of classification of neural signals using machine & deep learning methods are covered



Last updated on 2024-26-11 at 17:48