Systems and methods for patient fall detection

  • US 10,448,844 B2
  • Filed: 08/31/2016
  • Issued: 10/22/2019
  • Est. Priority Date: 08/31/2015
  • Status: Active Grant
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First Claim
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1. A method of detecting whether a monitored patient has fallen by processing signals indicative of movement by the patient, the method comprising:

  • receiving, with a processing device from a wireless sensor, signals responsive to a linear acceleration of said patient with respect to a roll axis, a pitch axis, and a yaw axis, said roll axis corresponding to a longitudinal axis extending along a length of said patient'"'"'s body, said pitch axis corresponding to said patient'"'"'s hips, and said yaw axis corresponding to a horizontal plane in which said patient is located, wherein said wireless sensor is configured to be worn by said patient and comprises an accelerometer, a gyroscope, and a first wireless transceiver, and wherein said processing device comprises a processor, a memory device, a storage device, a display, and a second wireless transceiver configured to communicate with the first wireless transceiver;

    receiving, with said processing device from said wireless sensor, signals responsive to an angular velocity of said patient with respect to said roll axis, said pitch axis, and said yaw axis; and

    processing said received signals responsive to said linear acceleration and said angular velocity of said patient with said processor of said processing device, including electronically;

    forming a sensor data vector comprising a plurality of data elements, each of the plurality of data elements responsive to one of said linear acceleration or said angular velocity with respect to one of said roll axis, said pitch axis, and said yaw axis;

    normalizing said plurality of data elements to form a normalized sensor data vector;

    generating a feature vector from said normalized sensor data vector, the feature vector comprising a plurality of features indicative of a patient fall, wherein each of the plurality of features are generated based on one or more of the data elements from said normalized sensor data vector;

    deriving an activation value based on an application of weight vector to said feature vector, wherein said weight vector comprises a plurality of weights, each of the plurality of weights corresponding to one of the plurality of features of said feature vector;

    determining whether a patient fall has occurred based on the derived activation value; and

    alerting a caregiver based on said determination, said alert indicating that said patient fall has occurred.

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