This technology consists of a wearable wrist device that provides continuous blood pressure monitoring that is self-calibrating and utilizes a combination of positional sensors and machine-learning algorithms to adjust for changes in hydrostatic pressure due to arm movement.
Blood pressure monitoring is critical to diagnosing, treating, and preventing hypertension and cardiovascular disease. However, pressurized cuffs can cause discomfort and cannot be used for continuous monitoring, while current cuffless technologies still necessitate regular calibration to maintain accuracy. Therefore, there is need for a wearable, non-invasive device capable of providing continuous, accurate blood pressure monitoring.
This technology describes a cuffless, wearable device that provides continuous blood pressure monitoring. This technology also consists of a self-calibrating algorithm that negates the need of regular calibration of cuffless blood pressure monitors, which uses information received from biometric and environmental sensors to regularly correct blood pressure estimates. This technology furthermore describes a position-tracking algorithm which corrects hydrostatic pressure errors common in wearable wrist devices due to changes in arm position and movement using a combination of positional sensors and machine-learning algorithms. Both algorithms in this technology can be purposed to improve existing cuffless blood monitors. Used in part or in combination, this technology can facilitate more accurate blood pressure measurements, which will improve both clinical-level decision making and fitness monitoring.
Patent Pending (US20210219852)
Patent Pending (US20210378529)
IR CU19046, CU19312, CU21293
Licensing Contact: Beth Kauderer