Pulse transit time-based blood pressure estimation using hilbert-huang transform

The pulse transit time (PTT) based method has been suggested as a continuous, cuffless and non-invasive approach to estimate blood pressure. It is of paramount importance to accurately determine the pulse transit time from the measured electrocardiogram (ECG) and photoplethysmo-gram (PPG) signals. We apply the celebrated Hilbert-Huang Transform (HHT) to process both the ECG and PPG signals, and improve the accuracy of the PTT estimation. Further, the blood pressure variation is obtained by using a well-established formula reflecting the relationship between the blood pressure and the estimated PTT. Simulation results are provided to illustrate the effectiveness of the proposed method.

[1]  L A Geddes,et al.  The relationship between arterial pulse-wave velocity and pulse frequency at different pressures. , 1984, Journal of medical engineering & technology.

[2]  M. Nitzan,et al.  The difference in pulse transit time to the toe and finger measured by photoplethysmography. , 2002, Physiological measurement.

[3]  Yan Hong,et al.  The Establishment of a Non-Invasive Continuous Blood Pressure Measure System Based on Pulse Transit Time , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[4]  Yuan-Ting Zhang,et al.  Theoretical Study on the Effect of Sensor Contact Force on Pulse Transit Time , 2007, IEEE Transactions on Biomedical Engineering.

[5]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  T. Ma,et al.  A Correlation Study on the Variabilities in Pulse Transit Time, Blood Pressure, and Heart Rate Recorded Simultaneously from Healthy Subjects , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[7]  Carmen C. Y. Poon,et al.  Modeling of Pulse Transit Time under the Effects of Hydrostatic Pressure for Cuffless Blood Pressure Measurements , 2006, 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors.

[8]  N. Huang,et al.  A new view of nonlinear water waves: the Hilbert spectrum , 1999 .

[9]  T. Togawa,et al.  Continuous estimation of systolic blood pressure using the pulse arrival time and intermittent calibration , 2000, Medical and Biological Engineering and Computing.

[10]  J. Lee,et al.  Continuous measurement of systolic blood pressure using the PTT and other parameters , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[11]  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 , 2005, Journal of Artificial Organs.

[12]  H. Asada,et al.  Calibration of the Photoplethysmogram to Arterial Blood Pressure: Capabilities and Limitations for Continuous Pressure Monitoring , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[13]  Gilwon Yoon,et al.  Non-constrained Blood Pressure Monitoring Using ECG and PPG for Personal Healthcare , 2009, Journal of Medical Systems.

[14]  Wan-Suk Yoo,et al.  Multibody dynamics in arterial system , 2005 .