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用于远程监测心率、呼吸、活动和跌倒情况的无线贴片式传感器。

Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls.

作者信息

Chan Alexander M, Selvaraj Nandakumar, Ferdosi Nima, Narasimhan Ravi

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:6115-8. doi: 10.1109/EMBC.2013.6610948.

Abstract

Unobtrusive continuous monitoring of important vital signs and activity metrics has the potential to provide remote health monitoring, at-home screening, and rapid notification of critical events such as heart attacks, falls, or respiratory distress. This paper contains validation results of a wireless Bluetooth Low Energy (BLE) patch sensor consisting of two electrocardiography (ECG) electrodes, a microcontroller, a tri-axial accelerometer, and a BLE transceiver. The sensor measures heart rate, heart rate variability (HRV), respiratory rate, posture, steps, and falls and was evaluated on a total of 25 adult participants who performed breathing exercises, activities of daily living (ADLs), various stretches, stationary cycling, walking/running, and simulated falls. Compared to reference devices, the heart rate measurement had a mean absolute error (MAE) of less than 2 bpm, time-domain HRV measurements had an RMS error of less than 15 ms, respiratory rate had an MAE of 1.1 breaths per minute during metronome breathing, posture detection had an accuracy of over 95% in two of the three patch locations, steps were counted with an absolute error of less than 5%, and falls were detected with a sensitivity of 95.2% and specificity of 100%.

摘要

对重要生命体征和活动指标进行无干扰的连续监测,有潜力实现远程健康监测、居家筛查以及对心脏病发作、跌倒或呼吸窘迫等危急事件的快速通知。本文包含一种无线蓝牙低功耗(BLE)贴片式传感器的验证结果,该传感器由两个心电图(ECG)电极、一个微控制器、一个三轴加速度计和一个BLE收发器组成。该传感器可测量心率、心率变异性(HRV)、呼吸频率、姿势、步数和跌倒情况,并在总共25名成年参与者身上进行了评估,这些参与者进行了呼吸练习、日常生活活动(ADL)、各种伸展运动、固定自行车运动、步行/跑步以及模拟跌倒。与参考设备相比,心率测量的平均绝对误差(MAE)小于2次/分钟,时域HRV测量的均方根误差(RMS)小于15毫秒,节拍器呼吸时呼吸频率的MAE为1.1次/分钟,在三个贴片位置中的两个位置,姿势检测的准确率超过95%,步数计数的绝对误差小于5%,跌倒检测的灵敏度为95.2%,特异性为100%。

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