001449527 000__ 03432cam\a2200517\a\4500
001449527 001__ 1449527
001449527 003__ OCoLC
001449527 005__ 20230310004405.0
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001449527 008__ 220917s2022\\\\si\\\\\\o\\\\\000\0\eng\d
001449527 019__ $$a1344538988
001449527 020__ $$a9789811941894$$q(electronic bk.)
001449527 020__ $$a9811941890$$q(electronic bk.)
001449527 020__ $$z9811941882
001449527 020__ $$z9789811941887
001449527 0247_ $$a10.1007/978-981-19-4189-4$$2doi
001449527 035__ $$aSP(OCoLC)1344489555
001449527 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dVLB$$dOCLCF$$dOCLCQ
001449527 049__ $$aISEA
001449527 050_4 $$aQP84.6$$b.R59 2022eb
001449527 08204 $$a612/.022$$223/eng/20220927
001449527 24500 $$aRhythms in healthcare /$$cM. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun, editors.
001449527 264_1 $$aSingapore :$$bSpringer,$$c2022.
001449527 264_4 $$c©2022
001449527 300__ $$a1 online resource (xv, 161 pages).
001449527 4901_ $$aStudies in rhythm engineering
001449527 50500 $$tIs Biological Rhythm Associated with the Mortality of COVID-19? --$$tDeep Learning in Biomedical Devices: Perspectives, Applications, and Challenges --$$tEffect of 3D-Multiple Object Tracking Training on Manual Dexterity in Elderly Adults with Dementia and Mild Cognitive Impairment --$$tRhythmic Pattern of EEG for Identifying Schizophrenia --$$tPrior Prediction and Management of Autism in Child Through Behavioral Analysis Using Machine Learning Approach --$$tDNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare --$$tInvestigation on Heart Attack Prediction Based on the Different Machine Learning Approaches --$$tInvestigation on Heart Attack Prediction Based on the Different Machine Learning Approaches --$$tWearable Devices for Monitoring Vital Rhythm and Earlier Disease Diagnosis of Treatment --$$tPost-quantum Signature Scheme to Secure Medical Data --$$tMedical Image Analysis Using Machine Learning and Deep Learning: A Comprehensive Review.
001449527 506__ $$aAccess limited to authorized users.
001449527 520__ $$aThis 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.
001449527 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 27, 2022).
001449527 650_0 $$aBiological rhythms.
001449527 650_0 $$aBiosensors.
001449527 650_0 $$aSignal processing.
001449527 655_0 $$aElectronic books.
001449527 7001_ $$aKaiser, M. Shamim.
001449527 7001_ $$aMahmud, Mufti.
001449527 7001_ $$aAl Mamun, Shamim.
001449527 77608 $$iPrint version: $$z9811941882$$z9789811941887$$w(OCoLC)1322366783
001449527 830_0 $$aStudies in rhythm engineering.
001449527 852__ $$bebk
001449527 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4189-4$$zOnline Access$$91397441.1
001449527 909CO $$ooai:library.usi.edu:1449527$$pGLOBAL_SET
001449527 980__ $$aBIB
001449527 980__ $$aEBOOK
001449527 982__ $$aEbook
001449527 983__ $$aOnline
001449527 994__ $$a92$$bISE