对心力衰竭患者的非侵入性生物识别监测技术
Jose Arriola-Montenegro1, Pornthira Mutirangura1, Hassan Akram1
1Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Heart failure reviews
|October 22, 2024
概括
针对心力衰竭的新型非侵入性远程监测平台旨在改善患者的治疗结果. 将多参数传感器与人工智能相结合,可以彻底改变早期拥堵检测和预防住院治疗.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 心力衰竭是导致死亡和住院的主要原因,常常伴有拥堵.
- 传统的远程监测,如体重跟踪,并没有改善临床结果.
- 植入式传感器提供数据,但具有侵入性;患者更喜欢非侵入性选择.
研究的目的:
- 审查新的,非侵入性的,多参数心力衰竭远程监测平台.
- 探索可以可靠地检测拥堵的技术.
- 评估心力衰竭患者改善生活质量和生存的潜力.
主要方法:
- 审查最近开发的非侵入性,多参数远程监控设备.
- 分析人工智能和机器学习与传感器数据的整合.
- 针对个体心力衰竭表型量身定制的平台的检查.
主要成果:
- 几种使用多参数监测的非侵入性设备正在临床测试中,用于检测拥堵.
- 人工智能和机器学习的整合显示了彻底改变远程监控的潜力.
- 这些技术可能能够及时进行干预,以防止住院治疗.
结论:
- 非侵入性,多参数远程监控平台为传统方法提供了一个有希望的替代方案.
- 由人工智能驱动的系统可以提高早期拥堵检测和患者管理.
- 这些进展有可能显著改善心力衰竭护理和患者存活率.
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