| CPC A61N 1/37282 (2013.01) [A61B 5/1101 (2013.01); A61B 5/1114 (2013.01); A61B 5/1118 (2013.01); A61B 5/112 (2013.01); A61B 5/4082 (2013.01); A61B 5/742 (2013.01); A61B 5/7455 (2013.01); A61N 1/36135 (2013.01); A61N 1/37247 (2013.01); A61N 1/37264 (2013.01); G06F 21/6254 (2013.01); G06T 11/00 (2013.01); G06T 19/006 (2013.01); G06V 10/82 (2022.01); G06V 40/25 (2022.01); G16H 20/30 (2018.01); G16H 40/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01); H04N 5/272 (2013.01); H04N 7/141 (2013.01); A61N 1/36067 (2013.01); A61N 1/36071 (2013.01); A61N 1/36132 (2013.01); G06T 2210/41 (2013.01)] | 16 Claims |

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1. A method of remotely programming an implantable medical device that provides therapy to a patient, comprising:
establishing a first communication between a patient controller (PC) device and the implantable medical device, wherein the implantable medical device provides therapy to the patient according to one or more programmable parameters, the PC device communicates signals to the implantable medical device to set or modify the one or more programmable parameters, and the PC device comprises a video camera;
establishing a video connection between the PC device and a clinician programmer (CP) device of a clinician for a remote programming session in a second communication that includes an audio/video (A/V) session;
communicating a value for a respective programmable parameter of the implantable medical device from the CP device to the PC device during the remote programming session; and
modifying, by the PC device, the respective programming parameter of the implantable medical device according to the communicated value from the CP device during the remote programming session;
wherein the method further comprises:
providing a sequence of instructions to the patient during the A/V session to complete a plurality of different movement tasks;
automatically analyzing, by one or more processors, patient movement in video data from the A/V session during completion of the plurality of different movement tasks to generate a plurality of movement metrics indicative of movement characteristics of the patient;
applying the plurality of movement metrics to one or more trained neural networks to calculate a rigidity score for the patient; and
modifying, by one or more processors, the programmable parameter of the implantable medical device based on the rigidity score calculated from the plurality of movement metrics, wherein the modification is automatically derived from the application of the movement metrics to the neural networks; and
providing, by one or more processors, therapy to the patient using the modified programmable parameter.
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