通过单个节点,表面声学传感,从心脏声音构建心电图信号.
概括
这项研究使用一种新的算法将部声学心脏声音转化为心电图 (ECG) 波形. 这使得使用单个干燥可穿戴设备进行非侵入性,每日心律监测.
科学领域:
- 生物医学工程 生物医学工程
- 心血管技术的心血管技术
- 信号处理 信号处理
背景情况:
- 目前的心电图 (ECG) 监测受到侵入性硬件和静止要求的限制.
- 现有的声心图方法缺乏精确度,无法进行关键的心律分析,并且容易受到噪音的影响.
- 需要非侵入性,移动性和连续性心律监测解决方案.
研究的目的:
- 开发一种方法,从心脏声声中产生心电图波形.
- 为了实现不引人注目的,长期的,低成本的日常心律监测.
- 为了验证声学心电图在捕获关键心脏指标方面的准确性.
主要方法:
- 使用一个宽带宽的表面声波麦克风,放置在子上,通过动脉捕获心脏声音.
- 采用跨模态自编码器,一种先进的算法,用于将声心声信号转换为心电图波形.
- 进行了一项9名参与者的研究,以评估生成的ECG波形和指标.
主要成果:
- 从心声声信号中成功构建了PQRST波形.
- 从声学衍生的心电图中准确确定关键的PQRST指标.
- 在用户行走 (行走) 期间展示了移动声学心电图波形构造.
结论:
- 声学心脏声音对心电图转换是可行的和有效的.
- 这项技术为不引人注目的,长期的,低成本的日常心律监测铺平了道路.
- 一个单节点干燥可穿戴设备可以提供宝贵的心律洞察力.
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