Movement feedback for orthopedic patient

Abstract

Systems and methods may be used for presenting motion feedback for an orthopedic patient. In an example, images may be captured of a patient in motion attempting to perform a task, for example after completion of an orthopedic surgery on the patient. The images may be analyzed to generate a movement metric of the patient corresponding to the task. The movement metric may be compared to a baseline metric (e.g., an average metric or a previous patient metric) for the task. An indication of the comparison may be presented, for example including a qualitative result of the comparison.

What is claimed is: 
     
         1 . A method comprising:
 capturing images, using a camera of a user device, of a patient in motion attempting to perform a task, the images captured after completion of an orthopedic surgery on the patient;   analyzing, using a processor, the motion to generate a movement metric of the patient corresponding to the task;   comparing, using the processor, the movement metric of the patient to a baseline metric for the task; and   presenting, on a display, an indication of the comparison including a qualitative result of the comparison.   
     
     
         2 . The method of  claim 1 , wherein the display is a display of a wearable device communicatively coupled to the user device. 
     
     
         3 . The method of  claim 1 , wherein analyzing the motion includes using data captured by a neck-worn device related to the motion. 
     
     
         4 . The method of  claim 1 , wherein the baseline metric represents an average performance of the task among a population. 
     
     
         5 . The method of  claim 1 , wherein the baseline metric represents a pre-operative attempt by the patient attempting to perform the task. 
     
     
         6 . The method of  claim 1 , wherein the task includes walking, and wherein analyzing the motion includes determining a gait characteristic. 
     
     
         7 . The method of  claim 6 , wherein analyzing the motion includes using a gait model generated from a skeletal model of the patient based on pre-operative images of the patient wearing a plurality of colored markers captured by the camera. 
     
     
         8 . The method of  claim 6 , wherein analyzing the motion includes using a gait model generated from pre-operative images of the patient wearing a suit having a pattern of markers. 
     
     
         9 . The method of  claim 1 , further comprising determining whether performing the task caused the patient pain based on facial expressions of the patient in the captured images while the task was performed, and wherein presenting the indication further includes presenting information related to the pain. 
     
     
         10 . The method of  claim 1 , further comprising determining whether performing the task caused the patient pain based on a detected increase in heart rate of the patient, captured by a wearable device communicative coupled to the user device, while the task was performed, and wherein presenting the indication further includes presenting information related to the pain. 
     
     
         11 . The method of  claim 1 , wherein the qualitative result includes adherence information related to the task and wherein the qualitative result is based on a milestone. 
     
     
         12 . The method of  claim 1 , wherein the qua exult is sent to a member of a care team for the patient. 
     
     
         13 . A method comprising:
 capturing range of motion information using a sensor of a wrist-worn device of a patient attempting to perform a task, the range of motion information captured after completion of an orthopedic surgery on the patient;   determining a stress response, based on a heart rate measured by the sensor, as a proxy for pain during arm motion of a patient;   identifying a pain location based on a position of the wrist-worn device at a moment of the stress response;   presenting, on a display of the wrist-worn device, an indication related to the pain location including a qualitative result.   
     
     
         14 . The method of  claim 1 , further comprising:
 analyzing, using a processor, the pain location at the moment to generate a movement metric; and   comparing, using the processor, the movement metric of the patient to a baseline metric for the task; and   wherein the qualitative result corresponds to the comparison.   
     
     
         15 . The method of  claim 13 , wherein presenting the indication related to the pain location includes providing a picture or animation of the range of motion, the picture or animation indicating the pain location. 
     
     
         16 . The method of  claim 13 , further comprising automatically identifying the task without patient input and initiating the range of motion capture in response to automatically identifying the task without patient input. 
     
     
         17 . The method of  claim 13 , wherein the qualitative result indicates that the range of motion includes a potentially harmful movement. 
     
     
         18 . The method of  claim 17 , further comprising alerting the patient to the potentially harmful movement using haptic feedback on the wrist-worn device or audio output by a speaker of the wrist worn device. 
     
     
         19 . The method of  claim 13 , further comprising determining that the patient is sleeping on a wrong side, and alerting the patient using the wrist-worn device. 
     
     
         20 . A method comprising:
 capturing pre-operative video of a patient;   identifying a pre-operative gait of the patient based on walking movement performed by the patient in the pre-operative video;   determining a gait type by comparing the pre-operative gait to a plurality of stored gaits;   generating an orthopedic intervention plan for the patient based on the gait type; and   outputting information indicative of the intervention plan for display.