Litcius/Paper detail

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

Venu G. Ganti, Andrew M. Carek, Brandi N. Nevius, J. Alex Heller, Mozziyar Etemadi, Omer T. Inan

2020IEEE Journal of Biomedical and Health Informatics100 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PhotoplethysmogramCalibrationCuffWearable computerMean squared errorBlood pressureComputer scienceMedicineReal-time computingBiomedical engineeringStatisticsSurgeryEmbedded systemTelecommunicationsMathematicsWirelessInternal medicineNon-Invasive Vital Sign MonitoringOptical Imaging and Spectroscopy TechniquesBlood Pressure and Hypertension Studies