Paper
9 October 2022 Design of a “band-bid” signal wearable ECG monitoring system
Lei Tian, Qiwen Liu, Hui Gao, Wendi Zhao, Ruicong Zhuo, Yulei Li, Dongying Wang, Chenyang Wang, Yu Zheng, Xuebin Cao
Author Affiliations +
Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224607 (2022) https://doi.org/10.1117/12.2643927
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
At present, there are many kinds of wearable ECG devices in the market, but there are many problems such as large volume, low precision, high power consumption, and discomfort in wearing. The wearable ECG monitoring system is designed, which be small, deformable, comfortable to wear, and can continuously measure ECG signals in real-time. In this paper, STM32F411 is used as the microcontroller. Furthermore, TI's 24-bit ADS1292R is used as the acquisition module of the ECG signals. The measured ECG signals are passed through a 0.5-70Hz band-pass and 50Hz notch digital filter to remove motion noise signals. The processed ECG data are stored in a Micro-SD card. At the same time, the data are sent to the upper computer (Labview) through Bluetooth to display the ECG waveform and heart rate in real-time. The device was used to measure the ECG signals of people of different ages and genders under other exercise states. The results show that the device has the advantages of comfortable wearing and low power consumption. It can display the electrocardiogram and heart rate in real-time. The ECG data transmission delay does not exceed 0.5s, and the accuracy of heart rate measurement is 92.45%.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Tian, Qiwen Liu, Hui Gao, Wendi Zhao, Ruicong Zhuo, Yulei Li, Dongying Wang, Chenyang Wang, Yu Zheng, and Xuebin Cao "Design of a “band-bid” signal wearable ECG monitoring system", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224607 (9 October 2022); https://doi.org/10.1117/12.2643927
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KEYWORDS
Electrocardiography

Heart

Clocks

Data processing

Signal processing

Analog electronics

LabVIEW

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