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040 _aOCoLC-P
_beng
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_cOCoLC-P
020 _a9781003508199
_q(electronic bk.)
020 _a1003508197
_q(electronic bk.)
020 _a9781040301142
_q(electronic bk. : PDF)
020 _a1040301142
_q(electronic bk. : PDF)
020 _a9781040301210
_q(electronic bk. : EPUB)
020 _a1040301215
_q(electronic bk. : EPUB)
020 _z9781032831916
024 7 _a10.1201/9781003508199
_2doi
035 _a(OCoLC)1504399580
035 _a(OCoLC-P)1504399580
050 4 _aR856
072 7 _aUTR
_2bicssc
072 7 _aCOM059000
_2bisacsh
072 7 _aTEC059000
_2bisacsh
072 7 _aTEC004000
_2bisacsh
072 7 _aCOM051430
_2bisacsh
072 7 _aCOM095000
_2bisacsh
072 7 _aCOM060090
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072 7 _aCOM094000
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072 7 _aCOM062000
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072 7 _aCOM091000
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072 7 _aCOM016000
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245 0 0 _aEmbedded systems for biomedical applications /
_cedited by Rishabha Malviya, Selcan Karakuş, Mukesh Roy.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c[2025]
300 _a1 online resource (312 pages)
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aHigh-Performance Computing for Smart Healthcare
505 0 _a1. Introduction to Embedded System in Healthcare: Operational Environments in Healthcare Settings 2. Embedded Systems in the medical field: pros. and cons. 3. Automation of in the medical field: pros. and cons. 4. Embedded system in developing imaging devices 5. Deep Learning of Telecommunication Technology for The Efficient Utilization of Embedded Systems 6. Role of Embedded Systems in Diagnosis and Decision-Making for Better Treatment 7. Enhancing Remote Healthcare: Integration of ATOM ECG with eSanjeevani 8. Artificial Intelligence in Embedded Systems for Biomedical Applications 9. Embedded systems in metabolic bariatric surgery: from telemonitoring to deep learning applications. 10. Integration of Machine Learning Techniques with Multi-Criteria Decision-Making for a Better Treatment 11. Embedded systems in developing advanced strategies in healthcare management 12. Human Health Status Detection from the Tongue Image Using Embedded Image Processing
520 _aThis book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation.Features: Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals. Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly. Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings. Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications. Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field.This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBiomedical engineering.
650 0 _aEmbedded computer systems.
_964625
700 1 _aMalviya, Rishabha,
_eeditor.
_965301
700 1 _aKarakuş, Selcan,
_eeditor.
_1https://id.oclc.org/worldcat/entity/E39PCjyJGkjtTFCk7HrkY3kxDq
_995372
700 1 _aRoy, Mukesh,
_eeditor.
_995373
830 0 _aHigh-Performance Computing for Smart Healthcare.
_995374
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003508199
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c68049
_d68049