A Novel Method for Calibration-Based Cuff-Less Blood Pressure Estimation

Cuff-less blood pressure estimation technology is useful for cardiovascular disease monitoring. However, without calibration, cuff-less blood pressure estimation is hard to achieve clinical acceptable performance. The traditional methods are always calibrated with retraining. With the increases of the parameters number, the cost of model retraining increases several times. So we propose a novel blood pressure estimation method, which can be calibrated with reference inputs rather than with retraining. The experiment results suggest that the method we proposed can achieve clinical performance (SBP:-0.004 ± 5.869 mmHg, DBP:-0.004±4.511 mmHg) with low calibration cost.

[1]  C. Goodman Association for the Advancement of Medical Instrumentation , 1988 .

[2]  R. Payne,et al.  Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure. , 2006, Journal of applied physiology.

[3]  Dumitru Erhan,et al.  Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  A Steptoe,et al.  Pulse wave velocity and blood pressure change: calibration and applications. , 1976, Psychophysiology.

[5]  Yuan-Ting Zhang,et al.  Pulse Transit Time Based Continuous Cuffless Blood Pressure Estimation: A New Extension and A Comprehensive Evaluation , 2017, Scientific Reports.

[6]  Yuan-Ting Zhang,et al.  Long-term blood pressure prediction with deep recurrent neural networks , 2017, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

[7]  L A Geddes,et al.  Pulse transit time as an indicator of arterial blood pressure. , 1981, Psychophysiology.

[8]  Paul C.-P. Chao,et al.  Continuous blood pressure measurement based on a neural network scheme applied with a cuffless sensor , 2018, Microsystem Technologies.

[9]  E. O’Brien,et al.  The British Hypertension Society protocol for the evaluation of automated and semi-automated blood pressure measuring devices with special reference to ambulatory systems. , 1990, Journal of hypertension.

[10]  Guanglin Li,et al.  New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy , 2018, Physiological measurement.

[11]  Carmen C. Y. Poon,et al.  Attenuation of Systolic Blood Pressure and Pulse Transit Time Hysteresis During Exercise and Recovery in Cardiovascular Patients , 2014, IEEE Transactions on Biomedical Engineering.

[12]  Mahdi Shabany,et al.  Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring , 2017, IEEE Transactions on Biomedical Engineering.

[13]  Guanqun Zhang,et al.  Assessment of pre-ejection period in ambulatory subjects using seismocardiogram in a wearable blood pressure monitor , 2016, EMBC.

[14]  M K Park,et al.  Comparison of auscultatory and oscillometric blood pressures. , 2001, Archives of pediatrics & adolescent medicine.

[15]  Jeunwoo Lee,et al.  Cuffless and Non-Invasive Estimation of a Continuous Blood Pressure Based on PTT , 2010, 2010 2nd International Conference on Information Technology Convergence and Services.

[16]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .