Suppr超能文献

用于心力衰竭监测与管理的可穿戴设备的最新进展

Recent Advances in the Wearable Devices for Monitoring and Management of Heart Failure.

作者信息

Odeh Victor Adeyi, Chen Yifan, Wang Wenyan, Ding Xiaorong

机构信息

Department of Biomedical Engineering, School of Life Science and Technology, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, China.

Heart Failure Center, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, China.

出版信息

Rev Cardiovasc Med. 2024 Oct 28;25(10):386. doi: 10.31083/j.rcm2510386. eCollection 2024 Oct.

Abstract

Heart failure (HF) is an acute and degenerative condition with high morbidity and mortality rates. Early diagnosis and treatment of HF can significantly enhance patient outcomes through admission and readmission reduction and improve quality of life. Being a progressive condition, the continuous monitoring of vital signs and symptoms of HF patients to identify any deterioration and to customize treatment regimens can be beneficial to the management of this disease. Recent breakthroughs in wearable technology have revolutionized the landscape of HF management. Despite the potential benefits, the integration of wearable devices into HF management requires careful consideration of technical, clinical, and ethical challenges, such as performance, regulatory requirements and data privacy. This review summarizes the current evidence on the role of wearable devices in heart failure monitoring and management, and discusses the challenges and opportunities in the field.

摘要

心力衰竭(HF)是一种发病率和死亡率都很高的急性退行性疾病。心力衰竭的早期诊断和治疗可通过减少入院和再入院次数显著改善患者预后,并提高生活质量。作为一种进行性疾病,持续监测心力衰竭患者的生命体征和症状,以发现任何病情恶化并定制治疗方案,可能有助于这种疾病的管理。可穿戴技术的最新突破彻底改变了心力衰竭管理的局面。尽管有潜在益处,但将可穿戴设备整合到心力衰竭管理中需要仔细考虑技术、临床和伦理挑战,如性能、监管要求和数据隐私。本综述总结了关于可穿戴设备在心力衰竭监测和管理中作用的当前证据,并讨论了该领域的挑战和机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4b3/11522764/a9285f835582/2153-8174-25-10-386-g1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验