This study introduces a pioneering approach to managing hypertension and preventing catastrophic cardiovascular events through a novel continuous hemodynamics algorithm, integrated within a wearable tonometric device (WTD). This advanced algorithm leverages mathematical analysis of arterial pressure (AP) waveforms, accurately calculating key hemodynamic parameters such as systolic blood pressure (SBP), diastolic blood pressure (DBP), mean blood pressure (MBP), and heart rate (HR). These calculations are performed in real time by identifying feature points in AP waveforms and extracting vital parameters through pulse wave analysis (PWA). The algorithm incorporates pre-input biometric data to create a data vector, which is then processed using a multiple non-linear regression model to compute beat-to-beat Cardiac output (CO). Additional hemodynamic parameters are derived by analyzing pulse waveforms in conjunction with CO values, ensuring a comprehensive hemodynamic profile. The efficacy and precision of this algorithm are validated against commercial medical-grade devices and the WTD system through human trials, demonstrating medical-grade accuracy. The results affirm the stability, reliability, and accuracy of the hemodynamic parameters algorithm, highlighting the WTD's potential as a transformative solution in wearable health technology. By providing real-time, medical-grade monitoring in a wearable format, the WTD device is set to revolutionize remote patient-centered healthcare, offering a proactive approach to monitoring and managing cardiovascular health.

A continuous hemodynamic parameters algorithm based on the wearable tonometric device