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Rhythms in healthcare

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Rhythms in healthcareedited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun.
其他作者:	Kaiser, M. Shamim.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xv, 161 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Biological rhythms.
電子資源:	https://doi.org/10.1007/978-981-19-4189-4
ISBN:	9789811941894$q(electronic bk.)

Rhythms in healthcare
Rhythms in healthcare[electronic resource] /edited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun. - Singapore :Springer Nature Singapore :2022. - xv, 161 p. :ill., digital ;24 cm. - Studies in rhythm engineering,2524-5554. - Studies in rhythm engineering..

Is Biological rhythm associated with the mortality of COVID-19? -- Deep Learning in Biomedical devices: Perspectives, Applications and Challenges -- Effect of 3D-Multiple object Tracking training on manual dexterity in elderly adults with dementia and mild cognitive impairment -- Rhythmic Pattern of EEG for Identifying Schizophrenia -- Prior Prediction and Management of Autism in Child through Behavioral Analysis using Machine Learning Approach -- DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare.

This book provides an insightful review and methodological contribution about future healthcare system. It also provides a space for creating and designing techniques for effective sensing, processing, and analysis of patient health situations based on bio-signal processing. Additionally, it discusses novel methods and algorithms which are needed to overcome limitations in current rhythmic bio-signals models. It also discusses solutions and systems needed to efficiently evaluate and process real-time data. The book is useful for wide range of users, including students, research scientists, teachers, and practitioners working in the field of heath informatics, neuroscience, biomedical engineering, and medical image processing and diagnosis.

ISBN: 9789811941894$q(electronic bk.)

Standard No.: 10.1007/978-981-19-4189-4doiSubjects--Topical Terms:

194353
Biological rhythms.

LC Class. No.: QP84.6 / .R59 2022

Dewey Class. No.: 612.022

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505 0 $a Is Biological rhythm associated with the mortality of COVID-19? -- Deep Learning in Biomedical devices: Perspectives, Applications and Challenges -- Effect of 3D-Multiple object Tracking training on manual dexterity in elderly adults with dementia and mild cognitive impairment -- Rhythmic Pattern of EEG for Identifying Schizophrenia -- Prior Prediction and Management of Autism in Child through Behavioral Analysis using Machine Learning Approach -- DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare.
520 $a This book provides an insightful review and methodological contribution about future healthcare system. It also provides a space for creating and designing techniques for effective sensing, processing, and analysis of patient health situations based on bio-signal processing. Additionally, it discusses novel methods and algorithms which are needed to overcome limitations in current rhythmic bio-signals models. It also discusses solutions and systems needed to efficiently evaluate and process real-time data. The book is useful for wide range of users, including students, research scientists, teachers, and practitioners working in the field of heath informatics, neuroscience, biomedical engineering, and medical image processing and diagnosis.
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