Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals
1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
3
Key Lab for Health Informatics of Chinese Academy of Sciences (HICAS), Shenzhen 518055, China
4
Department of Physics and Materials Science, City University of Hong Kong, Hong Kong 999077, China
5
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
Academic Editor: Chon Ki
Sensors 2015, 15(9), 23653-23666; https://doi.org/10.3390/s150923653
Received: 2 June 2015
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Revised: 9 September 2015
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Accepted: 9 September 2015
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Published: 17 September 2015
(This article belongs to the Special Issue Smartphone-Based Sensors for Non-Invasive Physiological Monitoring)
Cardiovascular disease, like hypertension, is one of the top killers of human life and early detection of cardiovascular disease is of great importance. However, traditional medical devices are often bulky and expensive, and unsuitable for home healthcare. In this paper, we proposed an easy and inexpensive technique to estimate continuous blood pressure from the heart sound signals acquired by the microphone of a smartphone. A cold-pressor experiment was performed in 32 healthy subjects, with a smartphone to acquire heart sound signals and with a commercial device to measure continuous blood pressure. The Fourier spectrum of the second heart sound and the blood pressure were regressed using a support vector machine, and the accuracy of the regression was evaluated using 10-fold cross-validation. Statistical analysis showed that the mean correlation coefficients between the predicted values from the regression model and the measured values from the commercial device were 0.707, 0.712, and 0.748 for systolic, diastolic, and mean blood pressure, respectively, and that the mean errors were less than 5 mmHg, with standard deviations less than 8 mmHg. These results suggest that this technique is of potential use for cuffless and continuous blood pressure monitoring and it has promising application in home healthcare services.
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MDPI and ACS Style
Peng, R.-C.; Yan, W.-R.; Zhang, N.-L.; Lin, W.-H.; Zhou, X.-L.; Zhang, Y.-T. Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals. Sensors 2015, 15, 23653-23666. https://doi.org/10.3390/s150923653
AMA Style
Peng R-C, Yan W-R, Zhang N-L, Lin W-H, Zhou X-L, Zhang Y-T. Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals. Sensors. 2015; 15(9):23653-23666. https://doi.org/10.3390/s150923653
Chicago/Turabian StylePeng, Rong-Chao, Wen-Rong Yan, Ning-Ling Zhang, Wan-Hua Lin, Xiao-Lin Zhou, and Yuan-Ting Zhang. 2015. "Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals" Sensors 15, no. 9: 23653-23666. https://doi.org/10.3390/s150923653
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