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Titlebook: Biomedical Sensing and Analysis; Signal Processing in Iyad Obeid,Joseph Picone,Ivan Selesnick Book 2022 The Editor(s) (if applicable) and T

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发表于 2025-3-21 18:20:53 | 显示全部楼层 |阅读模式
期刊全称Biomedical Sensing and Analysis
期刊简称Signal Processing in
影响因子2023Iyad Obeid,Joseph Picone,Ivan Selesnick
视频video
发行地址Presents an interdisciplinary look at research trends in signal processing and biomedicine.Promotes collaboration between healthcare practitioners and signal processing researchers.Includes tutorials
图书封面Titlebook: Biomedical Sensing and Analysis; Signal Processing in Iyad Obeid,Joseph Picone,Ivan Selesnick Book 2022 The Editor(s) (if applicable) and T
影响因子This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), 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, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interestedin applications of signal processing, medicine, and biology..Presents an interdisciplinary look at research trends in signal processing and biomedicine;.Promotes collaboration between healthcare practitioners and signal processing researchers;.Includes tutorials and example
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Human Detection and Biometric Authentication with Ambient Sensors,and relatively accurate properties. The accuracy of PIR sensors is hindered with the inability to reliably detect stationary subjects and this has been combatted in our work through two novel approaches: a motion induced PIR sensor (MI-PIR) and a chest motion PIR (CM-PIR) sensor. MI-PIR works via th
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https://doi.org/10.1057/9781137343819and relatively accurate properties. The accuracy of PIR sensors is hindered with the inability to reliably detect stationary subjects and this has been combatted in our work through two novel approaches: a motion induced PIR sensor (MI-PIR) and a chest motion PIR (CM-PIR) sensor. MI-PIR works via th
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Land Tenure Reform in Asia and Africaurther analysis of performance as a function of test subset characteristics indicates that the models are generally robust over speaker and session variables. It is concluded that both acoustic and NLP-based models have potential for use in generalized automated depression screening.
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