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Rhythms in healthcare

Kaiser, M. Shamim.

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Rhythms in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rhythms in healthcare/ edited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun.
other author:	Kaiser, M. Shamim.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xv, 161 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Biological rhythms. -
Online resource:	https://doi.org/10.1007/978-981-19-4189-4
ISBN:	9789811941894

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

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

611019
Biological rhythms.

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

Dewey Class. No.: 612.022

Rhythms in healthcare
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245 0 0 $a Rhythms in healthcare $h [electronic resource] / $c edited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xv, 161 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in rhythm engineering, $x 2524-5554
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.
650 0 $a Biological rhythms. $3 611019
650 0 $a Biosensors. $3 621001
650 0 $a Signal processing. $3 533904
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Kaiser, M. Shamim. $3 3488724
700 1 $a Mahmud, Mufti. $3 3500851
700 1 $a Al Mamun, Shamim. $3 3606180
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in rhythm engineering. $3 3486962
856 4 0 $u https://doi.org/10.1007/978-981-19-4189-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)