Poster: Continuous and Fine-grained Respiration Volume Monitoring Using Continuous Wave Radar

Phuc Nguyen, Xinyu Zhang, A. Halbower, Tam N. Vu
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引用次数: 5

Abstract

An unobtrusive and continuous estimation of breathing volume could play a vital role in health care, such as for critically ill patients, neonatal ventilation, post-operative monitoring, just to name a few. While radar-based estimation of breathing rate has been discussed in the literature, estimating breathing volume using wireless signal remains relatively intact. With the presence of patient body movement and posture changes, long-term monitoring of breathing volume at fine granularity is even more challenging. In this work, we propose for the first time an autonomous system that monitors a patient's breathing volume with high resolution. We discuss the key research components and challenges in realizing the system. We also present an initial system design encompassing a continuous wave radar, motion tracking and control system, and a set of methods to accurately derive breathing volume from the reflected signal and to address challenges caused by body movement and posture changes. Our implementation shows promising results in estimating breathing volume with fine granularity.
海报:使用连续波雷达进行连续和细粒度呼吸量监测
一个不引人注目的连续的呼吸量估计可以在医疗保健中发挥至关重要的作用,如危重病人,新生儿通气,术后监测,仅举几例。虽然基于雷达的呼吸频率估计已经在文献中进行了讨论,但使用无线信号估计呼吸量仍然相对完整。随着患者身体运动和姿势变化的存在,对细粒度呼吸量的长期监测更具挑战性。在这项工作中,我们首次提出了一种高分辨率监测患者呼吸量的自主系统。讨论了实现该系统的关键组成部分和面临的挑战。我们还提出了一个初始系统设计,包括连续波雷达,运动跟踪和控制系统,以及一套从反射信号中准确获取呼吸量的方法,并解决由身体运动和姿势变化引起的挑战。我们的实现在细粒度估计呼吸量方面显示了有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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