000			03431 a2200445 4500
001			24069161
003			0000
005			20251016111329.0
008			250312s2025 nyu b 001 0 eng
010			_a 2025010801
020			_a9781041047728
040			_aDNLM/DLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aRC 670 .S66
060	0	0	_aWG 141
082	0	0	_a616.1/075 _223/eng/20250616
100	1		_aSooriamoorthy, Denesh, _eauthor.
245	1	0	_aEmerging technologies and concepts for cardiovascular risk detection / _cDenesh Sooriamoorthy, M.B. Malarvili, Aindi Anas, Olivier Meste.
263			_a2506
264		1	_aBoca Raton, FL : _bCRC Press, _c2026.
300			_aix, 94p. ill.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490			_aRoutledge Focus
504			_aIncludes bibliographical references and index.
505	0		_aCardiovascular System -- Medical Technology -- Diagnosing Cardiovascular Diseases -- Cardiovascular Disease Detection and AI Integration -- Cardiovascular System Models -- Conclusion and Future Recommendations.
520			_a"This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI. The authors guide readers from an introduction to the cardiovascular system and a review of traditional and modern diagnostic methods before explaining recent advances in medical technology, such as wearable smart devices and their sensor types (namely, pressure, photoelectric, and ultrasonic), and how these advances have been applied to cardiovascular disease diagnosis and detection. Key topics include pulse wave analysis, sensor technology for radial blood pressure monitoring, and the integration of artificial intelligence to enhance predictive accuracy. With a focus on continuous monitoring solutions, this book highlights groundbreaking research on non-invasive detection methods and the development of intelligent health systems for real-time patient evaluation. The authors also discuss how the widespread implementation of machine learning and deep learning techniques have influenced the field and propose new methods for enhancing continuous monitoring and risk prediction systems. The information within this book will help to bridge the gap between research and clinical practice. This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends"-- _cProvided by publisher.
650	1	2	_aCardiovascular Diseases _xdiagnosis
650	2	2	_aDiagnostic Techniques, Cardiovascular
650	2	2	_aHeart Disease Risk Factors
650	2	2	_aModels, Cardiovascular
700	0		_aMalarvili, M. B., _eauthor.
700	1		_aAnas, Aindi, _eauthor.
700	1		_aMeste, Olivier, _eauthor.
776	0	8	_iOnline version: _aSooriamoorthy, Denesh. _tEmerging technologies and concepts for cardiovascular risk detection _dBoca Raton, FL : CRC Press, 2025 _z9781003629832 _w(DLC) 2025010802
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c43833 _d43833