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Low power electrocardiography and impedance cardiography detection system based on LabVIEW and Bluetooth Low Energy

机译:基于LabVIEW和蓝牙低功耗的低功耗心电图和阻抗心电图检测系统

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Due to the sporadic occurrence of cardiovascular disease, long term continuous monitoring is needed. An embedded wireless health monitoring system is designed and implemented, which is made up of wearable monitoring nodes with Bluetooth Low Energy (BLE) wireless transmission, a sensor data gateway and smart terminal etc. The wearable monitoring nodes are integrated electrocardiography (ECG) and impedance cardiography (ICG) sensors, which can not only detect ECG (indication of electric working status of heart) and ICG (indication of mechanical pumping working performance of heart), but also detect respiration, temperature, heart rate variability and moving status of the patient in real time. The low power of the sensor node is achieved through the optimized design of the circuit and firmware. The software architecture of the sensor data gateway with a WebSocket data server implemented is constructed with multi-thread mechanism and object-oriented method of LabVIEW to achieve stable waveform data transmission. Noise and baseline wandering of ECG and ICG are removed by Undecimated Wavelet Transform (UWT), which is also used in real-time feature extraction of ECG and ICG waveform. Test results show that the current-consuming of the sensor node in working state with BLE transmission is 11mA and 69μA for standby low power mode. The sensor data gateway supports connection with any mobile terminal device with Wi-Fi capability.
机译:由于心血管疾病的零星发生,因此需要长期连续监测。设计并实现了一个嵌入式无线健康监测系统,该系统由具有蓝牙低功耗(BLE)无线传输功能的可穿戴监控节点,传感器数据网关和智能终端等组成。可穿戴监控节点为集成心电图(ECG)和阻抗心电图(ICG)传感器,不仅可以检测ECG(指示心脏的电工作状态)和ICG(指示心脏的机械泵工作性能),还可以检测患者的呼吸,温度,心率变异性和运动状态实时。传感器节点的低功耗是通过电路和固件的优化设计实现的。使用多线程机制和LabVIEW的面向对象方法构造了实现了WebSocket数据服务器的传感器数据网关的软件体系结构,以实现稳定的波形数据传输。通过未抽取小波变换(UWT)消除了ECG和ICG的噪声和基线漂移,该波形还用于ECG和ICG波形的实时特征提取。测试结果表明,在待机状态下,低功耗模式下,通过BLE传输的传感器节点的电流消耗为11mA和69μA。传感器数据网关支持与任何具有Wi-Fi功能的移动终端设备的连接。

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