Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time

Objective: We developed a wearable watch-based device to provide noninvasive, cuff-less blood pressure (BP) estimation in an at-home setting. Methods: The watch measures single-lead electrocardiogram (ECG), tri-axial seismocardiogram (SCG), and multi-wavelength photoplethysmogram (PPG) signals to compute the pulse transit time (PTT), allowing for BP estimation. We sent our custom watch device and an oscillometric BP cuff home with 21 healthy subjects, and captured the natural variability in BP over the course of a 24-hour period. Results: After calibration, our Pearson correlation coefficient (PCC) of 0.69 and root-mean-square-error (RMSE) of 2.72 mmHg suggest that noninvasive PTT measurements correlate with around-the-clock BP. Using a novel two-point calibration method, we achieved a RMSE of 3.86 mmHg. We further demonstrated the potential of a semi-globalized adaptive model to reduce calibration requirements. Conclusion: This is, to the best of our knowledge, the first time that BP has been comprehensively estimated noninvasively using PTT in an at-home setting. We showed a more convenient method for obtaining ambulatory BP than through the use of the standard oscillometric cuff. We presented new calibration methods for BP estimation using fewer calibration points that are more practical for a real-world scenario. Significance: A custom watch (SeismoWatch) capable of taking multiple BP measurements enables reliable remote monitoring of daily BP and paves the way towards convenient hypertension screening and management, which can potentially reduce hospitalizations and improve quality of life.

[1]  Krzysztof Narkiewicz,et al.  An independent relationship between muscle sympathetic nerve activity and pulse wave velocity in normal humans , 2010, Journal of hypertension.

[2]  A. Siu Screening for high blood pressure in adults: U.S. Preventive Services Task Force recommendation statement. , 2015, Annals of internal medicine.

[3]  Shuvo Roy,et al.  A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables , 2016, IEEE Transactions on Biomedical Circuits and Systems.

[4]  S. Jay,et al.  Cost–Benefit Analysis of Home Blood Pressure Monitoring in Hypertension Diagnosis and Treatment: An Insurer Perspective , 2014, Hypertension.

[5]  V. Tikhonoff,et al.  Poor Reliability of Wrist Blood Pressure Self-Measurement at Home: A Population-Based Study , 2016, Hypertension.

[6]  Ha Uk Chung,et al.  Relation between blood pressure and pulse wave velocity for human arteries , 2018, Proceedings of the National Academy of Sciences.

[7]  Gregory T. A. Kovacs,et al.  Evaluating the Lower-Body Electromyogram Signal Acquired From the Feet As a Noise Reference for Standing Ballistocardiogram Measurements , 2010, IEEE Transactions on Information Technology in Biomedicine.

[8]  Ramakrishna Mukkamala,et al.  Comparison of noninvasive pulse transit time estimates as markers of blood pressure using invasive pulse transit time measurements as a reference , 2016, Physiological reports.

[9]  Omer T. Inan,et al.  Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms , 2017, IEEE Sensors Journal.

[10]  W. White,et al.  Role of ambulatory and home blood pressure recording in clinical practice , 2009, Current cardiology reports.

[11]  Omer T. Inan,et al.  Robust Sensing of Distal Pulse Waveforms on a Modified Weighing Scale for Ubiquitous Pulse Transit Time Measurement , 2017, IEEE Transactions on Biomedical Circuits and Systems.

[12]  G. Stergiou,et al.  Reproducibility of home, ambulatory, and clinic blood pressure: implications for the design of trials for the assessment of antihypertensive drug efficacy. , 2001, American journal of hypertension.

[13]  J. Staessen,et al.  How to use home blood pressure monitors in clinical practice. , 2002, American journal of hypertension.

[14]  H. Nagaraja,et al.  Heart rate variability: origins, methods, and interpretive caveats. , 1997, Psychophysiology.

[15]  Sinan Hersek,et al.  A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals , 2020, IEEE Journal of Biomedical and Health Informatics.

[16]  J. Hahn,et al.  Commentary: Relation Between Blood Pressure and Pulse Wave Velocity for Human Arteries , 2019, Front. Physiol..

[17]  P. Chowienczyk,et al.  Arterial Stiffness Can Be Modulated by Pressure‐Independent Mechanisms in Hypertension , 2019, Journal of the American Heart Association.

[18]  Tzung K. Hsiai,et al.  Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review , 2017 .

[19]  Dingchang Zheng,et al.  Quantitative Comparison of Photoplethysmographic Waveform Characteristics: Effect of Measurement Site , 2019, Front. Physiol..

[20]  M. Sinha,et al.  Progression to hypertension in non-hypertensive children following renal transplantation. , 2012, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[21]  N. van Helmond,et al.  Cuff-Less Methods for Blood Pressure Telemonitoring , 2019, Front. Cardiovasc. Med..

[22]  Chenxi Yang,et al.  Pulse Transit Time Measurement Using Seismocardiogram, Photoplethysmogram, and Acoustic Recordings: Evaluation and Comparison , 2017, IEEE Journal of Biomedical and Health Informatics.

[23]  Omer Inan,et al.  Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation , 2019, IEEE Journal of Biomedical and Health Informatics.