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Titlebook: Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning; Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi

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發(fā)表于 2025-3-21 16:06:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning
影響因子2023Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi
視頻videohttp://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Titlebook: Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning; Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi
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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書目名稱Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning影響因子(影響力)




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CERC Studies in Comparative Educationg depression need a lot of interaction with humans, and the findings are highly reliant on the knowledge and skill of the doctor doing them. Electroencephalography (.) is a potential tool that reveals interesting information that can be used in diagnosis and evaluation of human beings’ brain abnorma
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Actors and Purposes in Comparative Educationst difficult tasks in the context of surface electromyography (sEMG) based prostheses development. This chapter shows a comparative examination of the several machine learning-based algorithms for the hand gestures identification. The first step in the process is the data extraction from the sEMG de
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Comparing Pedagogical Innovationsding of eczema symptoms. Dermatologists assess eczema visually and use special forms to record their findings. This process is tiresome and uses a great deal of time. In addition, it introduces inter-observer and intra-observer variability in the results. Hence in this work a fully automated method
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