Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4286-4290. doi: 10.1109/EMBC48229.2022.9871653.
The demand for non-obtrusive, accurate, and continuous blood pressure (BP) monitoring systems is becoming more prevalent with the realization of its significance in preventable cardiovascular disease (CVD) globally. Current cuff-based standards are bulky, uncomfortable, and are limited to discrete recording periods. Wearable sensor technologies such as those using optical photoplethysmography (PPG) have been used to develop blood pressure estimation models through a variety of methods. However, this technology falls short as optical based systems have bias favoring lighter skin tones and lower body fat compositions. Bioimpedance (Bio-Z) is a capable modality of sensing arterial blood flow without implicit inadvertent bias towards individuals. In this paper we propose a ring-based bioimpedance system to capture arterial blood flow from the digital artery of the finger. The ring design provides a more compact wearable device utilizing only a single Bio-Z channel, making it a familiar fit to individuals. Post-processing the acquired Bio-Z signals, we extracted 9 frequency domain features from windowed beat cycles to train subject specific regression models. Results indicate the average mean absolute errors for systolic/diastolic BP to be 4.38/3.63mmHg, consistent with AAMI standards.
随着人们认识到血压监测在全球预防心血管疾病方面的重要性，对非侵入性、准确且连续的血压（BP）监测系统的需求越来越大。目前基于袖带的标准体积庞大、舒适性差，并且仅限于离散的记录时段。光学光体积描记法（PPG）等可穿戴传感器技术已被用于通过多种方法开发血压估计模型。然而，这种技术存在局限性，因为基于光学的系统存在偏向浅色皮肤和较低体脂成分的偏差。生物阻抗（Bio-Z）是一种能够感知动脉血流的模式，而不会对个体产生隐含的不适当偏差。在本文中，我们提出了一种基于指环的生物阻抗系统，以从手指的数字动脉捕获动脉血流。指环设计提供了一种更紧凑的可穿戴设备，仅使用单个 Bio-Z 通道，使其更适合个人佩戴。对采集到的 Bio-Z 信号进行后处理后，我们从窗口拍动周期中提取了 9 个频域特征，以训练特定于受试者的回归模型。结果表明，收缩压/舒张压的平均绝对误差分别为 4.38/3.63mmHg，符合 AAMI 标准。
