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使用柔性电容和压阻压力传感器进行心血管脉搏波的监测和分析及机器学习视角。

Monitoring and analysis of cardiovascular pulse waveforms using flexible capacitive and piezoresistive pressure sensors and machine learning perspective.

机构信息

Department of Mechanical and Materials Engineering, Florida International University, Miami, FL, 33174, USA.

Department of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA.

出版信息

Biosens Bioelectron. 2023 Oct 1;237:115449. doi: 10.1016/j.bios.2023.115449. Epub 2023 Jun 20.

Abstract

The growing interest in flexible electronics for physiological monitoring, particularly using flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential applications in cuffless blood pressure measurement and early diagnosis of cardiovascular disease. High sensitivity, fast response time, good pressure resolution and a high signal-to-noise ratio are essential for effective pulse waveform detection. This review focuses on flexible capacitive and piezoresistive pressure sensors, which have seen significant enhancements due to their simple operation, superior performance, wide range of materials, and easy fabrication. The comparison of sensing methods for acquiring pulse waveforms from the wrist artery, device integration configurations, high-quality pulse waveforms collection, and performance analysis of capacitive and piezoresistive sensors are discussed. The review also covers the use of machine learning for analyzing pulse waveforms for cardiovascular disease diagnosis and cuff-less blood pressure monitoring. Lastly, it provides perspectives on current challenges and further advancements in the field.

摘要

人们对用于生理监测的柔性电子产品越来越感兴趣,特别是使用柔性压力传感器来监测心血管脉搏波,这在无袖带血压测量和心血管疾病的早期诊断方面具有潜在的应用。高灵敏度、快速响应时间、良好的压力分辨率和高信噪比对于有效检测脉搏波至关重要。本文重点介绍了柔性电容式和压阻式压力传感器,由于其操作简单、性能优越、材料种类广泛和易于制造,这些传感器在性能上得到了显著提升。讨论了从腕动脉获取脉搏波的传感方法比较、器件集成结构、高质量脉搏波采集以及电容式和压阻式传感器性能分析。本文还介绍了机器学习在心血管疾病诊断和无袖带血压监测中分析脉搏波的应用。最后,本文对该领域当前的挑战和进一步发展提供了一些观点。

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