Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
2474 The University of Texas at San Antonio (144362)
Principal Investigator: Zanella,Gianluca
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 50,000
Exceeds $250,000 (Is it flagged?): No
Start and End Dates: 8/15/22 - 7/31/23
Restricted Research: YES
Academic Discipline: none
Department, Center, School, or Institute: CYBER SECURITY ANALYTICS
Title of Contract, Award, or Gift: ABH-13290 MARKERLESS BIOMECHANICAL EVALUATION
Name of Granting or Contracting Agency/Entity:
National Science Foundation (LOC)
CFDA: 47.084
Program Title: none
Note:
SAMs 1.1.1; This I-Corps team aims to develop an innovative technological solution that can automate the patient evaluation process, provide unique insights, and improve rehabilitation outcomes. The proposed core technology will provide actionable biomechanical evaluations of patients with lower back pain (LBP), lower limb musculoskeletal disorders (LLD), and general musculoskeletal disorders (MSK) to improve rehabilitation outcomes. Specifically, the team will record video of patients with LBP/LLD while they execute dynamic movement patterns. Then, the recorded video will be processed using computer vision algorithms that general virtual biomarkers identifying the patient's body position and joint angles. Clinical input will be used to establish healthy parameters to compare against the generated patient data, helping identify movement deficiencies. This analysis will provide unique insights into identifying the root cause of the patient's pain and sets the foundation for actionable reporting. The kinetic information generated during the collection process will be analyzed using machine learning, and easy-to-understand and actional digital information will be reported out to the user. This innovation will help improve the patient evaluation process while decreasing the time and cost for the healthcare provider to complete post-session reporting. The proposed project combines biomechanics, computer vision, data science, software development, sports medicine, and business.
Discussion: No discussion notes