My Account Log in

1 option

Rhythms in Healthcare / edited by M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online

View online
Format:
Book
Contributor:
Mahmud, Mufti, editor.
Al Mamun, Shamim, editor.
Kaiser, M. Shamim, editor.
Series:
Studies in Rhythm Engineering, 2524-5554
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Medical informatics.
Machine learning.
Computational Intelligence.
Artificial Intelligence.
Health Informatics.
Machine Learning.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Health Informatics.
Machine Learning.
Physical Description:
1 online resource (174 pages)
Edition:
1st ed. 2022.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
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.
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.
Notes:
Includes bibliographical references.
Other Format:
Print version: Kaiser, M. Shamim Rhythms in Healthcare
ISBN:
981-19-4189-0
OCLC:
1344489555

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account