Paper
10 August 2015 Wearable sensor for heart rate detection
Author Affiliations +
Proceedings Volume 9620, 2015 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 96200E (2015) https://doi.org/10.1117/12.2193129
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China
Abstract
In recent years heart and blood vessel diseases kill more people than everything else combined. The daily test of heart rate for the prevention and treatment of the heart head blood-vessel disease has the vital significance. In order to adapt the transformation of medical model and solve the low accuracy problem of the traditional method of heart rate measuring, we present a new method to monitor heart rate in this paper. The heart rate detection is designed for daily heart rate detection .The heart rate signal is collected by the heart rate sensor. The signal through signal processing circuits converts into sine wave and square wave in turn. And then the signal is transmitted to the computer by data collection card. Finally, we use LABVIEW and MATLAB to show the heart rate wave and calculate the heart rate. By doing contrast experiment with medical heart rate product, experimental results show that the system can realize rapidly and accurately measure the heart rate value. A measurement can be completed within 10 seconds and the error is less than 3beat/min. And the result shows that the method in this paper has a strong anti-interference ability. It can effectively suppress the movement interference. Beyond that the result is insensitive to light.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cong Shi, Xiaohua Liu, Lingqin Kong, Jizhe Wu, Ming Liu, Liquan Dong, Mei Hui, and Yuejin Zhao "Wearable sensor for heart rate detection", Proc. SPIE 9620, 2015 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 96200E (10 August 2015); https://doi.org/10.1117/12.2193129
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KEYWORDS
Heart

Sensors

Signal processing

LabVIEW

Data acquisition

Tissue optics

MATLAB

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