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Cognitive cardiac rehabilitation using IoT and AI tools

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cognitive cardiac rehabilitation using IoT and AI tools/ edited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar.
remainder title:	Cognitive cardiac rehabilitation using Internet of Things and artificial intelligence tools
other author:	Bhowmick, Parijat,
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (254 p.)
[NT 15003449]:	Chapter 1. Cognitive cardiac rehabilitation using IoT and AI tools -- Chapter 2. Survey on cognitive rehabilitation -- Chapter 3. A comprehensive survey on rehabilitative applications of electroencephalogram in healthcare -- Chapter4. Mental health predictions through online social media analytics -- Chapter 5. Emotion detection using EEG-based brain-computer interaction -- Chapter 6. Machine learning-based approaches in the detection of depression: a comparative study -- Chapter 7. Machine learning-based approaches in the detection of suicide from social media comments -- Chapter 8. Significant approaches and applications of virtual reality in the treatment of depression -- Chapter 9. Survey on cardiacrehabilitation -- Chapter 10. Clinical and diagnostic presentation on myocardial biology -- Chapter 11. Predictive analysis of heart disease using machine learning algorithms -- Chapter 12. Application of machine learning algorithms for automatic detection of risk in heart disease -- Chapter 13. Cognitive cardiac rehabilitation using IoT and AI tools: conclusion.
Subject:	Heart - Diseases -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7561-4
ISBN:	9781668475621

Cognitive cardiac rehabilitation using IoT and AI tools
Cognitive cardiac rehabilitation using IoT and AI tools[electronic resource] /Cognitive cardiac rehabilitation using Internet of Things and artificial intelligence toolsedited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (254 p.)

Includes bibliographical references and index.

Chapter 1. Cognitive cardiac rehabilitation using IoT and AI tools -- Chapter 2. Survey on cognitive rehabilitation -- Chapter 3. A comprehensive survey on rehabilitative applications of electroencephalogram in healthcare -- Chapter4. Mental health predictions through online social media analytics -- Chapter 5. Emotion detection using EEG-based brain-computer interaction -- Chapter 6. Machine learning-based approaches in the detection of depression: a comparative study -- Chapter 7. Machine learning-based approaches in the detection of suicide from social media comments -- Chapter 8. Significant approaches and applications of virtual reality in the treatment of depression -- Chapter 9. Survey on cardiacrehabilitation -- Chapter 10. Clinical and diagnostic presentation on myocardial biology -- Chapter 11. Predictive analysis of heart disease using machine learning algorithms -- Chapter 12. Application of machine learning algorithms for automatic detection of risk in heart disease -- Chapter 13. Cognitive cardiac rehabilitation using IoT and AI tools: conclusion.

"Cognitive & Cardiac Rehabilitation is a field of study that focuses on the impact on the human mind, heart, behavior, conscious and unconscious motivation, feelings, thoughts, attitudes, emotions, and more. The contribution of the proposed approach can be summarized as follows i. Application of artificial intelligence technique used to extract features from brain and heart signal data and better efficiency compared to the existing methods. ii. Application of artificial intelligence tools to classify disorders and better performance compared to the existing benchmarks. iii. The aim of towards to describe the motivational factors affecting the patients' participation and compliance to cardiac rehabilitation by recognizing and understanding the nature of patients' experiences. iv. Cognitive impairment may influence patient self-management by reducing medication adherence, rendering patients unable to make lifestyle modifications and causingmissed healthcare visits"--

ISBN: 9781668475621Subjects--Topical Terms:

531544
Heart
--DiseasesIndex Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RC682 / .C64 2023e

Dewey Class. No.: 616.1/203

National Library of Medicine Call No.: WG 180 / .C64 2023e

Cognitive cardiac rehabilitation using IoT and AI tools
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245 0 0 $a Cognitive cardiac rehabilitation using IoT and AI tools $h [electronic resource] / $c edited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar.
246 3 $a Cognitive cardiac rehabilitation using Internet of Things and artificial intelligence tools
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (254 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Cognitive cardiac rehabilitation using IoT and AI tools -- Chapter 2. Survey on cognitive rehabilitation -- Chapter 3. A comprehensive survey on rehabilitative applications of electroencephalogram in healthcare -- Chapter4. Mental health predictions through online social media analytics -- Chapter 5. Emotion detection using EEG-based brain-computer interaction -- Chapter 6. Machine learning-based approaches in the detection of depression: a comparative study -- Chapter 7. Machine learning-based approaches in the detection of suicide from social media comments -- Chapter 8. Significant approaches and applications of virtual reality in the treatment of depression -- Chapter 9. Survey on cardiacrehabilitation -- Chapter 10. Clinical and diagnostic presentation on myocardial biology -- Chapter 11. Predictive analysis of heart disease using machine learning algorithms -- Chapter 12. Application of machine learning algorithms for automatic detection of risk in heart disease -- Chapter 13. Cognitive cardiac rehabilitation using IoT and AI tools: conclusion.
520 $a "Cognitive & Cardiac Rehabilitation is a field of study that focuses on the impact on the human mind, heart, behavior, conscious and unconscious motivation, feelings, thoughts, attitudes, emotions, and more. The contribution of the proposed approach can be summarized as follows i. Application of artificial intelligence technique used to extract features from brain and heart signal data and better efficiency compared to the existing methods. ii. Application of artificial intelligence tools to classify disorders and better performance compared to the existing benchmarks. iii. The aim of towards to describe the motivational factors affecting the patients' participation and compliance to cardiac rehabilitation by recognizing and understanding the nature of patients' experiences. iv. Cognitive impairment may influence patient self-management by reducing medication adherence, rendering patients unable to make lifestyle modifications and causingmissed healthcare visits"-- $c Provided by publisher.
650 0 $a Heart $x Diseases $x Patients $x Rehabilitation. $3 531544
650 0 $a Patient education. $3 583198
650 0 $a Patient compliance. $3 590432
650 0 $a Medical informatics. $3 661258
650 2 $a Cardiac Rehabilitation. $3 3730046
650 2 $a Cognitive Training. $3 3730047
650 2 $a Patient Acceptance of Health Care. $3 781166
650 2 $a Medical Informatics Applications. $3 815875
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Bhowmick, Parijat, $d 1986- $3 3730043
700 1 $a Das, Sima, $d 1992- $3 3730044
700 1 $a Mazumdar, Kaushik, $d 1987- $3 3730045
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7561-4