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Systems and methods for non-invasive blood pressure measurement

  • US 9,706,964 B2
  • Filed: 02/25/2016
  • Issued: 07/18/2017
  • Est. Priority Date: 02/25/2015
  • Status: Active Grant
First Claim
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1. A system comprising:

  • a wearable member including;

    an energy transmitter configured to project energy at a first wavelength and energy at a second wavelength into tissue of a user; and

    an energy receiver configured to generate a first signal based on a first received portion of the energy at the first wavelength and a second signal based on a second received portion of the energy at the second wavelength, the first received portion of the energy and the second received portion of the energy each being received through the tissue of the user; and

    a digital device including;

    memory; and

    a processor configured to;

    identify a first subset of waves from a first set of waves of the first signal and a second subset of waves from a second set of waves of the second signal, each of the first subset of waves representing a separate average of the first set of waves over a predetermined amount of time and each of the second subset of waves representing a separate average of the second set of waves over the predetermined amount of time,generate a first set of feature vectors and a second set of feature vectors, the first set of feature vectors generated from the first subset of waves, the second set of feature vectors generated from the second subset of waves, wherein each of the feature vectors of the first set of feature vectors and the second set of feature vectors include measurement values and metric values, the measurement values corresponding to amplitude or location points of a particular wave, the metric values generated from metric functions that use at least one of the measurement values,calculate an arterial blood pressure value based on the first set of feature vectors, the second set of feature vectors, and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the first set of feature vectors and the second set of feature vectors as input values, andprovide a message including or being based on the arterial blood pressure value.

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