Titlebook: Biomedical Signal Processing; Innovation and Appli Iyad Obeid,Ivan Selesnick,Joseph Picone Book 2021 The Editor(s) (if applicable) and The

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Book 2021ing, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, mach

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Determination of Vascular Access Stenosis Location and Severity by Multi-domain Analysis of Blood Sss is essential to reduce the risk of sudden clotting caused by vascular stenosis, to maintain patency of the access, and to avoid hospitalization or central catheter placement. Current imaging technologies are costly and unsuitable for widespread monitoring of vascular access, and they cannot detec

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Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning,on activities in the brain. EEG is typically used to diagnose and monitor disorders such as epilepsy, sleep disorders, and brain death and to help the advancement of various fields of science such as cognitive science and psychology. Unfortunately, EEGs usually suffer from a variety of artifacts, su

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Objective Evaluation Metrics for Automatic Classification of EEG Events,mmon quantitative scalar evaluation metrics such as sensitivity and specificity can often be misleading and not accurately integrate application requirements. Evaluation metrics must ultimately reflect the needs of users yet be sufficiently sensitive to guide algorithm development. For example, feed