Invention Grant
- Patent Title: Methods and apparatus for machine learning to analyze musculo-skeletal rehabilitation from images
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Application No.: US17714681Application Date: 2022-04-06
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Publication No.: US11957478B2Publication Date: 2024-04-16
- Inventor: Alec Diaz-Arias , Mitchell Messmore , Dmitry Shin , John Rachid , Stephen Baek , Jean Robillard
- Applicant: University of Iowa Research Foundation
- Applicant Address: US IA Iowa City
- Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATION,INSEER, INC.
- Current Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATION,INSEER, INC.
- Current Assignee Address: US IA Iowa City; US IA lowa City
- Agency: Ballard Spahr LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B5/00 ; G06N20/20 ; G06T7/70 ; G06T19/20 ; G06V40/20 ; G16H20/30

Abstract:
A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.
Public/Granted literature
- US20220386942A1 Methods And Apparatus For Machine Learning To Analyze Musculo-Skeletal Rehabilitation From Images Public/Granted day:2022-12-08
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