在心力衰竭中语音评估和声乐生物标志物:系统性审查
Maximilian Bauser1,2, Fabian Kraus3, Friedrich Koehler4,5
1Department of Clinical Research and Epidemiology, Comprehensive Heart Failure Center (M.B., S.S., F. Kerwagen), University Hospital Würzburg, Germany.
语音分析提供了一个有希望的,非侵入性的方法来检测心力衰竭的拥堵. 这种具有成本效益的方法可以彻底改变患者监测和风险预测,补充当前的诊断工具.
科学领域:
- 生物医学工程 生物医学工程
- 心脏病学 心脏病学
- 语音科学 语言科学
背景情况:
- 慢性心力衰竭 (CHF) 管理在早期发现拥堵方面面临挑战.
- 目前的方法往往是侵入性的或需要专门的硬件.
- 语音分析为CHF监测提供了一个非侵入性的,具有成本效益的替代方案.
研究的目的:
- 审查当前的心力衰竭语音分析的最新进展.
- 探索声乐生物标志物在诊断和监测CHF中的潜力.
- 确定这一研究领域的挑战和未来方向.
主要方法:
- 关于语音特征提取技术的文献评论.
- 对应用语音分析对心力衰竭患者的研究进行分析.
- 讨论技术能力和局限性.
主要成果:
- 语音分析可以检测与心力衰竭相关的微妙生理变化.
- 识别声乐生物标志物的潜力,表明拥堵和风险.
- 证明了作为远程监控工具的可行性.
结论:
- 语音分析是一种有前途的,非侵入性技术,用于心力衰竭管理.
- 需要进一步的研究和跨学科合作才能充分发挥其潜力.
- 声声生物标志物可以增强早期检测,风险预测和远程监测CHF.
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