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一种用于基于袖带的高保真脉搏波形采集的气动低通滤波器。

A Pneumatic Low-Pass Filter for High-Fidelity Cuff-Based Pulse Waveform Acquisition.

作者信息

Tamborini Alessio, Gharib Morteza

机构信息

California Institute of Technology, 1200 E California BLVD MC 105-50, Pasadena, CA, 91125, USA.

出版信息

Ann Biomed Eng. 2023 Nov;51(11):2617-2628. doi: 10.1007/s10439-023-03312-z. Epub 2023 Jul 21.

Abstract

Cuff-based pulse waveform acquisition (CBPWA) devices are reliable solutions for non-invasive cardiovascular diagnostics. However, poor signal resolution has limited clinical applications. This study aims to demonstrate the improved signal quality of CBPWA devices by implementing passive pneumatic low-pass filters (pLPF). Conventionally, pressure sensor output resolution is a percentage of the operating range. Therefore, measurement of small pressure changes in a large range must sacrifice signal resolution to accommodate for the large mean pressures. We design a pLPF to obtain the running mean pressure and combine it with a high-resolution differential pressure sensor for isolating the signal's pulsatile component. Thirty-one volunteers participated in a device proof-of-concept study at Caltech. Volunteers were measured at rest in the supine position on the left arm. The filtering behavior is mathematically modeled and experimentally verified, showing good agreement between measured and predicted cutoff frequencies. In the human study, the device successfully captured high-fidelity pulse waveform measurements for all volunteers: a blood pressure (BP) reading was followed by inflate-and-hold acquisition in diastolic BP (DBP), mean arterial pressure (MAP), and supra systolic BP (sSBP). The study demonstrated the reliability and high signal resolution of pLPF for CBPWA. Considering the widespread use of the brachial cuff, a system for high-resolution CBPWA motivates the clinical implementation of non-invasive pulse waveform analysis (PWA).

摘要

基于袖带的脉搏波形采集(CBPWA)设备是用于无创心血管诊断的可靠解决方案。然而,较差的信号分辨率限制了其临床应用。本研究旨在通过实施被动气动低通滤波器(pLPF)来证明CBPWA设备的信号质量得到改善。传统上,压力传感器的输出分辨率是工作范围的一个百分比。因此,在大范围测量小压力变化时,必须牺牲信号分辨率以适应大的平均压力。我们设计了一个pLPF来获取运行平均压力,并将其与高分辨率差压传感器相结合,以分离信号的脉动成分。31名志愿者参与了加州理工学院的一项设备概念验证研究。志愿者在左臂处于仰卧位休息时进行测量。对滤波行为进行了数学建模和实验验证,结果表明测量的截止频率与预测值吻合良好。在人体研究中,该设备成功地为所有志愿者捕获了高保真脉搏波形测量数据:在测量血压(BP)后,在舒张压(DBP)、平均动脉压(MAP)和超收缩压(sSBP)测量中采用充气并保持采集。该研究证明了pLPF用于CBPWA的可靠性和高信号分辨率。考虑到臂带袖带的广泛使用,高分辨率CBPWA系统推动了无创脉搏波形分析(PWA)的临床应用。

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