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Rhythms in Healthcare

Title
Rhythms in Healthcare [electronic resource] / edited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun.
ISBN
9789811941894
Edition
1st ed. 2022.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Physical Description
1 online resource (XV, 161 p.) 52 illus., 48 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 23, 2022
Series
Studies in Rhythm Engineering,
Studies in Rhythm Engineering,
Contents
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.
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