Cognitive cardiac rehabilitation using IoT and AI tools[electronic resource]

• 其他作者: Bhowmick, Parijat, , Das, Sima, , Mazumdar, Kaushik, , IGI Global.
• 出版: Hershey, Pennsylvania : IGI Global 2023.
• 稽核項: 1 online resource (254 p.).
• 標題: Heart , Patient Acceptance of Health Care. , Cardiac Rehabilitation. , Patient compliance. , Patient education. , Heart Diseases -- Patients -- Rehabilitation. , DiseasesPatientsRehabilitation. , Medical informatics. , Cognitive Training. , Medical Informatics Applications. , Electronic books.
• ISBN: 1668475618 , 9781668475614
• 試查全文@TNUA:
  
• 附註: 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.
• 摘要: "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"--
• 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7561-4
• 系統號: 005337704
• 資料類型: 電子書
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• 引用網址: 複製連結
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