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Physiological measurement using wearable device

  • US 9,662,050 B2
  • Filed: 06/21/2013
  • Issued: 05/30/2017
  • Est. Priority Date: 06/21/2013
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • automatically measuring, by a wearable device being worn on an external surface of a body of a user proximate a portion of subsurface vasculature, one or more physiological parameters during each of a plurality of measurement periods, wherein the one or more physiological parameters are measured by;

    directing, from a magnet in the wearable device, a magnetic field into the portion of subsurface vasculature, wherein the magnetic field causes functionalized magnetic particles that have been introduced into the body to collect in a lumen of the portion of subsurface vasculature;

    directing, from a signal source in the wearable device, an interrogating signal into the portion of subsurface vasculature; and

    detecting, by a detector in the wearable device, a response signal transmitted from the portion of subsurface vasculature in response to the interrogating signal, wherein the response signal is indicative of binding of one or more analytes to the functionalized magnetic particles collected in the lumen of the subsurface vasculature by the magnetic field;

    using the one or more physiological parameters measured by the wearable device during the plurality of measurement periods to develop a baseline profile of the user, such that the baseline profile of the user includes patterns for how the user'"'"'s one or more physiological parameters change over time;

    measuring, using the magnet, signal source, and detector in the wearable device, the one or more physiological parameters during one or more additional measurement periods to obtain additional data;

    detecting a change in condition from a comparison of the baseline profile and the additional data; and

    providing, via a user interface in the wearable device, a textual recommendation that the user take a particular action, wherein the textual recommendation is generated in response to the detected change in condition.

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