| 期刊全稱 | Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning | | 影響因子2023 | Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi | | 視頻video | http://file.papertrans.cn/150/149203/149203.mp4 | | 發(fā)行地址 | 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, | | 圖書封面 |  | | 影響因子 | This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalitiessuch as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. The | | Pindex | Book 2023 |
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