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用于医疗保健应用的通用胸部佩戴式心肺监测系统的设计与评估:一项试点研究。

Design and evaluation of a ubiquitous chest-worn cardiopulmonary monitoring system for healthcare application: a pilot study.

作者信息

Zheng Jiewen, Ha Congying, Zhang Zhengbo

机构信息

The Quartermaster Research Institute of the General Logistic Department, Dongcheng District, Beijing, 100010, China.

Department of Electronic Engineering, Beihang University, Haidian District, Beijing, 100191, China.

出版信息

Med Biol Eng Comput. 2017 Feb;55(2):283-294. doi: 10.1007/s11517-016-1518-5. Epub 2016 May 13.

Abstract

Ambulatory recording of physiological data will provide us deep insight into the physical condition of patients and athletes, and assessing treatment effects and training performances. This study presents a miniature wearable cardiopulmonary monitoring system called "Smart Chest Strap," which consists of an elastic band worn around the user's chest with integrated sensors, a physiological signals acquisition unit, and a mobile phone. The physiological signals including electrocardiogram, respiratory inductance plethysmograph, and accelerations (ACC) are sampled, digitalized, stored, and simultaneously transmitted to a mobile phone via Bluetooth. A medical validation test with participants performing discontinuous incremental treadmill (0-12 km/h) exercise was conducted. The results indicate nearly perfect correlations (0.999, 0.996, 0.994), small mean bias (0.60 BPM, 0.51 BPM, 0.05 g), and narrow limits of agreement (±2.90 BPM, ±1.81 BPM, ±0.09 g) for heart rate (HR), breathing rate (BR), and ACC represented as vector magnitude units (VMUs). There is a general trend of decrease in accuracy, precision, and correlation for HR, BR, and VMU as velocity increases, but these validity statistics are all within acceptable error limits and clinically accepted. The findings demonstrate that the Smart Chest Strap is valid and will have wider applications in healthcare, sports, and scientific research areas.

摘要

动态记录生理数据将使我们深入了解患者和运动员的身体状况,并评估治疗效果和训练表现。本研究提出了一种名为“智能胸带”的微型可穿戴心肺监测系统,它由一条带有集成传感器的弹性带、一个生理信号采集单元和一部手机组成,弹性带佩戴在用户胸部周围。包括心电图、呼吸感应体积描记图和加速度(ACC)在内的生理信号被采样、数字化、存储,并通过蓝牙同时传输到手机。对参与者进行了间断递增跑步机(0-12公里/小时)运动的医学验证测试。结果表明,心率(HR)、呼吸频率(BR)和以矢量幅度单位(VMU)表示的ACC的相关性接近完美(0.999、0.996、0.994),平均偏差较小(0.60次/分钟、0.51次/分钟、0.05克),一致性界限较窄(±2.90次/分钟、±1.81次/分钟、±0.09克)。随着速度增加,HR、BR和VMU的准确性、精密度和相关性总体呈下降趋势,但这些有效性统计数据均在可接受的误差范围内且为临床所接受。研究结果表明,智能胸带是有效的,将在医疗保健、体育和科研领域有更广泛的应用。

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