Abstract
Estimation of blood pressure (BP) based on pulse transit time (PTT) is of great interest since it can estimate BP continuously and cufflessly. In previous studies, different character points were available in ECG and in photoplethysmogram (PPG) for calculating PTT. The present study aimed at comparing the correlation of BP to different PTT parameters calculated using different character points of ECG and PPG. PTT parameters were calculated as the time interval from R peak, Q valley, or S valley of ECG to the peak or valley of the first derivative of the PPG. Correlations of beat-to-beat BP to the different beat-to-beat PTT parameters were calculated for the selected 13 datasets with a total of 3910 heart beats data. The results showed that the PTT as the time interval from Q valley of the ECG to the peak of the first derivative of the PPG gave the best parameter which correlates with both the systolic blood pressure (SBP, r = −0.62 ± 0.14) and the diastolic blood pressure (DBP, r = −0.45 ± 0.18). Therefore, this method of determining PTT would be useful to improve the accuracy of estimating BP continuously and cufflessly.
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References
C. Ahlstrom, et al., “Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients,” J Artif Organs, vol. 8, pp. 192–7, 2005.
F. Barcelo-Rico, et al., “Adaptive calibration algorithm for plasma glucose estimation in continuous glucose monitoring,” IEEE J Biomed Health Inform, vol. 17, pp. 530–8, May 2013.
Y. Choi, et al., “Noninvasive cuffless blood pressure estimation using pulse transit time and Hilbert-Huang transform,” Computers & Electrical Engineering, vol. 39, pp. 103–111, Jan 2013.
H. Gesche, et al., “Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method,” European Journal of Applied Physiology, vol. 112, pp. 309–315, Jan 2012.
I. C. Jeong and J. Finkelstein, “Optimizing Non-Invasive Blood Pressure Estimation Using Pulse Transit Time,” Medinfo 2013: Proceedings of the 14th World Congress on Medical and Health Informatics, Pts 1 and 2, vol. 192, pp. 1198–1198, 2013.
Y. Li, et al., “Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time,” Australas Phys Eng Sci Med, vol. 37, pp. 367–76, Jun 2014.
Q. Liu, et al., “Attenuation of systolic blood pressure and pulse transit time hysteresis during exercise and recovery in cardiovascular patients,” IEEE Trans Biomed Eng, vol. 61, pp. 346–52, Feb 2014.
C. C. Poon and Y. T. Zhang, “Cuff-less and noninvasive measurements of arterial blood pressure by pulse transit time,” Conf Proc IEEE Eng Med Biol Soc, vol. 6, pp. 5877–80, 2005.
S. Puke, et al., “Blood pressure estimation from pulse wave velocity measured on the chest,” Conf Proc IEEE Eng Med Biol Soc, vol. 2013, pp. 6107–10, 2013.
X. F. Teng and Y. T. Zhang, “An evaluation of a PTT-based method for noninvasive and cuffless estimation of arterial blood pressure,” Conf Proc IEEE Eng Med Biol Soc, vol. 1, pp. 6049–52, 2006.
M. Y. Wong, et al., “An evaluation of the cuffless blood pressure estimation based on pulse transit time technique: a half year study on normotensive subjects,” Cardiovasc Eng, vol. 9, pp. 32–8, Mar 2009.
Q. Liu, et al., “Time-frequency analysis of variabilities of heart rate, systolic blood pressure and pulse transit time before and after exercise using the recursive autoregressive model,” Biomedical Signal Processing and Control, vol. 6, pp. 364–369, Oct 2011.
J. Proenca, et al., “Is Pulse Transit Time a good indicator of Blood Pressure changes during short physical exercise in a young population?,” 2010 Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Embc), pp. 598–601, 2010.
H. Fukushima, et al., “Cuffless Blood Pressure Estimation using only Photoplethysmography based on Cardiovascular parameters,” 2013 35th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (EMBC), pp. 2132–2135, 2013.
Acknowledgements
The work was supported in part by the National Key Basic Research Program of China (NO. 2013CB329505), the National Natural Science Foundation of China under Grants (NO. 61135004, NO. 61203209), the Shenzhen Governmental Basic Research Grant (NO. JCYJ20130402113127532), and the External Cooperation Program of Chinese Academy of Sciences (NO. GJHZ1212).
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Lin, WH., Samuel, O.W., Liu, Q., Zhang, YT., Li, G. (2019). Comparison of the Correlation of Different Pulse Transit Time Parameters to Blood Pressure. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_36
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DOI: https://doi.org/10.1007/978-981-10-4505-9_36
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