# US 2023/0053428 A1 · Systems and methods for providing digital health services > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0053428 A1 - Document ID: US20230053428A1 - Status: Published application - Kind: A1 - Application number: 17/891,105 - Filed: 2022-08-18 - Published: 2023-02-23 - Earliest claimed: 2021-08-18 - Assignees: Advanced Neuromodulation Systems, Inc. - Applicants: Advanced Neuromodulation Systems, Inc. - Inventors: Simeng Zhang; Yagna Pathak; Hyun-Joo Park - Web page: https://patentgrep.com/patent/US20230053428A1 ## CPC - A61N 1/37282: {characterised by communication with experts in remote locations using a network} - A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)} - A61B 5/1101: {Detecting tremor} - A61B 5/1114: {Tracking parts of the body} - A61B 5/1118: {Determining activity level} - A61B 5/112: {Gait analysis} - A61B 5/4082: {Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette} - A61B 5/7267: {involving training the classification device} - A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)} - A61B 5/7455: {characterised by tactile indication, e.g. vibration or electrical stimulation} - A61N 1/36135: {using physiological parameters} - A61N 1/37247: {User interfaces, e.g. input or presentation means} - A61N 1/37264: {Changing the program; Upgrading firmware} - G06F 21/6245: {Protecting personal data, e.g. for financial or medical purposes} - G06F 21/6254: {by anonymising data, e.g. decorrelating personal data from the owner's identification} - G06T 11/00: Two-dimensional [2D] image generation - G06T 19/006: {Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00)} - G06V 10/82: using neural networks - G06V 40/25: {Recognition of walking or running movements, e.g. gait recognition} - G16H 20/30: relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising - G16H 30/40: for processing medical images, e.g. editing - G16H 40/40: for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H 80/00: ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring - H04N 5/272: Means for inserting a foreground image in a background image, i.e. inlay, outlay - H04N 7/141: {between two video terminals, e.g. videophone (telephonic communication systems combined with television receiver for reception of entertainment or information matter H04M11/085)} - H04N 7/147: {Communication arrangements, e.g. identifying the communication as a video-communication, intermediate storage of the signals (selecting H04Q)} - A61N 1/36067: {Movement disorders, e.g. tremor or Parkinson disease (stimulating motor muscle A61N1/36003)} - A61N 1/36071: {Pain} - A61N 1/36132: {using patient feedback} - G06T 2210/41: Medical - A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient. ## Claims ### Claim 1 A method of providing a neurostimulation therapy to a patient using an implantable pulse generator (IPG), comprising: guiding the patient through an exercise routine adapted to improve one or more neurological conditions of the patient by displaying exercise movements on a user device; capturing video data of the patient using the user device while the patient performs the displayed exercise movements; automatically analyzing the captured video data to calculate one or more metrics indicative of one or more neurological conditions of the patient, wherein the guiding, capturing, and automatically analyzing are performed while the neurostimulation therapy is provided to the patient by the IPG; temporarily modifying one or more stimulation parameters for the neurostimulation therapy over one or more exercise sessions while the guiding, capturing, and automatically analyzing are performed; determining whether modification of one or more stimulation parameters induces an improvement in one or more neurological conditions based on one or more automatically calculated metrics; and providing a modified set of stimulation parameters for the neurostimulation therapy provided to the patient by the IPG for long term use upon determination that modified one or more stimulation parameters induced an improvement in one or more neurological conditions. ### Claim 2 (depends on 1) The method of claim 1 wherein the automatically analyzing comprises: determining one or more balance characteristics of the patient. ### Claim 3 (depends on 1) The method of claim 1 wherein the automatically analyzing comprises: determining one or more gait characteristics of the patient. ### Claim 4 (depends on 1) The method of claim 1 wherein the automatically analyzing comprises: determining one or more rigidity characteristics of the patient. ### Claim 5 (depends on 1) The method of claim 1 wherein the automatically analyzing comprises: quantifying one or more tremor characteristics of the patient. ### Claim 6 (depends on 1) The method of claim 1 wherein the automatically analyzing comprises: detecting anatomical landmarks of the patient during performance of the displayed exercise movements; analyzing patient movements in detected anatomical landmarks to calculate a plurality of movement metrics; and applying the calculated movement metrics to one or more trained neural networks. ### Claim 7 (depends on 1) The method of claim 1 wherein the exercise routine comprises patient movements adapted to improve balance of the patient. ### Claim 8 (depends on 1) The method of claim 1 wherein the exercise routine comprises patient movements adapted to improve smoothness of movement for the patient. ### Claim 9 (depends on 1) The method of claim 1 wherein the exercise routine comprises patient movements adapted to improve gait of the patient. ### Claim 10 (depends on 1) The method of claim 1 further comprising: displaying by the patient device, video of the patient performing displayed exercise movements simultaneously to guiding the patient through the exercise routine. ### Claim 11 (depends on 1) The method of claim 1 further comprising: displaying by the patient device, video of a representation of the patient performing displayed exercise movements simultaneously to guiding the patient through the exercise routine. ### Claim 12 (depends on 11) The method of claim 11 wherein the representation of the patient comprises one or more graphical user interface (GUI) elements defined by anatomical landmarks of the patient. ### Claim 13 (depends on 1) The method of claim 1 further comprising: detecting one or more deviations of patient movements from the display movements; and providing feedback to the patient upon detection of one or more deviations of patient movements from the display movements. ### Claim 14 (depends on 13) The method of claim 13 wherein the feedback comprises haptic feedback using a wearable device of the patient. ### Claim 15 (depends on 13) The method of claim 13 wherein the feedback comprises feedback displayed on the user device. ### Claim 16 (depends on 1) The method of claim 1 further comprising: providing an analysis of patient movement during the exercise session calculated by one or more trained artificial intelligence models. ### Claim 17 (depends on 16) The method of claim 16 providing a report to a clinician detailing changes in one or more neurological conditions of the patient as detected during multiple exercise sessions. ### Claim 18 (depends on 1) The method of claim 1 wherein the user device displays exercise movements for performance by the patient using a virtual reality (VR) display component.