Real-time heart rate variability detection on sensor node

K. Wong
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引用次数: 9

Abstract

In this investigation we have prototyped a wireless ECG (electrocardiogram) sensor for real-time heart rate variability (HRV) detection, based on a commercially available sensor node. An ECG amplifier circuit is designed on a PCB board that is similar size to the sensor node so that it is easily attached to this node to achieve a minimum system size. In this implementation, the ECG is detected from both a patient simulator and a healthy subject body. The ECG signal is band-limited to 0.05Hz and 100Hz and amplified 1000 times before ADC conversion. We utilize the TinyOS 2.0.x open source operating system for providing data acquisition, computing and wireless communication services. A real-time HRV detection algorithm is implemented on the ECG sensor. The purpose is to reduce throughput of wireless data, and hence prolong battery life. Due to high sampling rate requirement (e.g 200Hz) of ECG detection, the HRV algorithms is required to complete within 5msec sample inter-arrival period in order to ensure no samples are lost. The digitized cardiac information is transmitted at 868 MHz ISM license free frequency band. A PC is used for displaying and storing the cardiac information.
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基于传感器节点的实时心率变异性检测
在这项研究中,我们基于市售传感器节点,设计了一种用于实时心率变异性(HRV)检测的无线ECG(心电图)传感器原型。在与传感器节点尺寸相近的PCB板上设计心电放大电路,使其易于连接到传感器节点上,实现系统尺寸的最小化。在这个实现中,心电图可以从病人模拟器和健康的受试者身上检测到。心电信号的频带限制为0.05Hz和100Hz,并在ADC转换前放大1000倍。我们使用TinyOS 2.0。X开放源代码操作系统,用于提供数据采集、计算和无线通信服务。在心电传感器上实现了实时心率检测算法。其目的是减少无线数据的吞吐量,从而延长电池寿命。由于心电检测对采样率的要求很高(如200Hz),因此要求HRV算法在5msec的采样间隔内完成采样,以保证不丢失采样。数字化的心脏信息在868 MHz ISM许可免费频段传输。PC机用于显示和存储心脏信息。
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