一个紧和节能的心率变量 (HRV) 光谱分析芯片用于可穿戴医疗保健设备
概括
这项研究引入了一种新型,低功耗,高速芯片,用于使用压缩传感分析心率变化 (HRV). 这种可穿戴技术可以实现准确的实时监测,用于早期检测自主神经系统和心脏疾病.
科学领域:
- 生物医学工程 生物医学工程
- 心血管健康 心血管健康
- 信号处理 信号处理
背景情况:
- 心率变化 (HRV) 是自主神经系统 (ANS) 活动和心血管健康的关键生物标志物.
- 目前用于HRV分析的方法通常需要庞大的设备或缺乏实时功能.
- 可穿戴技术需要低功耗,紧的解决方案,以持续监测健康状况.
研究的目的:
- 为实时HRV光谱分析提供高速,低成本的集成电路.
- 开发一种使用压缩传感的HRV光谱分析的新计算方法.
- 为了在可穿戴设备中实现准确,持续的HRV监控.
主要方法:
- 开发了一种新的HRV光谱计算方法,该方法结合了集成脉冲频率调制 (IPFM) 模型和压缩传感 (CS).
- 设计了一个CS-HRV芯片电路,其中包括用于数据矩阵转换的IPFM模块和用于频谱重建的GPSR模块.
- 实现了使用TSMC 0.18微米CMOS技术的芯片,运行在10MHz.
主要成果:
- 该CS-HRV芯片实现了低功耗 (12.15mW) 和紧的设计 (299.2K门).
- 该芯片以10MHz的高速运行,方便实时光谱分析.
- 综合方法可以准确地重建HRV频谱.
结论:
- 拟议的CS-HRV芯片为实时HRV光谱分析提供了低功耗,高速和小型的解决方案.
- 它适合于可穿戴健康设备,支持持续监测和早期检测ANS和心脏疾病.
- 这项创新推动了可穿戴心血管健康监测领域的发展.
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