Non-invasive measurement of ambulatory blood pressure
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Publication Number
US-10758131-B2
Publication Date
2020-09-01
Expiration Date
Abstract
Systems and methods are provided in which data acquisition device detects and captures ambulatory radial arterial blood pressure in a non-invasive and continuous manner through the combined use of tonometry, accelerometry and photoplethysmography, together with the detecting and translating of Mayer waves. Transformed blood pressure data, together with motion and contextual data can be used as input for machine learning algorithms and biomathematical models which can predict the general state of health of an individual. Transformed blood pressure data, together with motion and contextual data, may be communicated via wireless communications to mobile devices and/or cloud based platforms.
Core Innovation
The invention provides a non-invasive, continuous ambulatory blood pressure measurement system that estimates blood pressure of a subject using a wearable data acquisition device. The device combines radial arterial tonometry, including low-frequency arterial pressure fluctuations (Mayer waves), with accelerometry and photoplethysmography, and captures contextual data. Signals containing degrees of cardiac activity and motion of the subject are used as input for blood pressure estimation.
The system processes and transforms pressure and motion signals into blood pressure data streams for subsequent estimation. It applies modeling to the blood pressure data to determine the estimated blood pressure of the subject, including systolic blood pressure, diastolic blood pressure, and mean arterial blood pressure. The approach leverages Mayer waves to mitigate reattachment/orientation challenges for near-continuous ambulatory blood pressure measurement.
Modeling is implemented using biomathematical models and/or machine learning algorithms to infer general state-of-health and related blood pressure metrics from the processed signals. The device communicates the blood pressure data wirelessly to mobile devices and/or a cloud-based platform, which can use the estimate for user reporting and potentially third-party reporting via third-party databases.
Claims Coverage
The independent claim covers a method that uses signal inputs including Mayer waves captured using tonometry, processes the plurality of signals into blood pressure data, and applies modeling to determine an estimated blood pressure. The claim set includes refinements that add specific cardiovascular signal components, alternative capture modalities for Mayer waves, constraints on the estimated outputs, continuous repetition, and use of the estimate to infer a physiological condition.
Estimating blood pressure from cardiac activity and motion signals
Using as input a plurality of signals containing degrees of cardiac activity and motion data of the subject, wherein at least the Mayer waves are captured using tonometry.
Forming blood pressure data from the signals
Processing the plurality of signals to form blood pressure data.
Modeling blood pressure data to determine estimated blood pressure
Applying modeling to the blood pressure data to determine the estimated blood pressure of the subject.
Overall, the claim coverage centers on estimating a subject’s blood pressure by capturing Mayer waves with tonometry as part of a plurality of cardiac activity and motion signals, processing those signals into blood pressure data, and applying modeling to output the estimated blood pressure, with dependent refinements for additional signal components, alternative Mayer wave capture using photoplethysmography, systolic/diastolic outputs, continuous repetition, and inferring a physiological condition from the estimate.
Stated Advantages
Provides an estimate of blood pressure of a subject.
Enables non-invasive, continuous ambulatory blood pressure estimation.
Supports estimation of systolic blood pressure, diastolic blood pressure, and mean arterial blood pressure.
Improves near-continuous ambulatory blood pressure measurement by leveraging Mayer waves to mitigate reattachment/orientation challenges.
Allows reporting of general state-of-health and related blood pressure metrics.
Documented Applications
User reporting of estimated blood pressure and related state-of-health metrics.
Potential third-party reporting using third-party databases, including clinical/insurance/retail parties.
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