Case ID: M23-193L^

Published: 2024-05-16 09:49:48

Last Updated: 1715852988


seyed Mostafa Rezayat Sorkhabadi
Wenlong Zhang
Mason Smith
Roozbeh Emami
Trent Maruyama
Christina Kwasnica
Melissa Raasch (Fazekas)
Rachel Lopez

Technology categories

Computing & Information TechnologyLife Science (All LS Techs)Manufacturing/Construction/MechanicalMedical Devices

Licensing Contacts

Jovan Heusser
Director of Licensing and Business Development
[email protected]

Learning Post-Stroke Gait Training Strategies by Modeling Patient-Therapist Interaction

Lower-extremity hemiparesis, characterized by weakness or partial paralysis on one side of the body, significantly impacts a vast majority of stroke survivors. As a result, physical therapy intervention is crucial for the successful recovery and rehabilitation of a patient's gait cycle. During these sessions, physical therapists implement corrective forces to the patient’s limb, aiding in gait retraining. This hands-on therapy serves as the primary treatment option for stroke survivors, due to the unique gait requirements for each patient. Previous attempts of creating a lower-limb exoskeleton have been attempted but often face challenges in their ability to tailor to each patient's specific needs.
Researchers at Arizona State University in collaboration with researchers at Barrow Neurological Institute have developed a virtual impedance model for predicting therapist faciliatory forces in gait rehabilitation. Working directly with physical therapists, the team utilized a wearable sensing system which includes a custom-made force sensing array to accurately measure the assistive forces applied to the patient’s leg. As a result, a virtual model was created to accurately capture high-level therapist behaviors over the course of a full training session.  
This model provides a new approach to encode the decision-making process of physical therapists into a human-robot interaction framework for gait rehabilitation.
Potential Applications
  • Integration into robot-aided gait training devices
Benefits and Advantages
  • Automated decision-making process of physical therapists
  • Optimize treatment strategies for the individual patient
  • Advanced understanding of PT gait assistive strategies
  • Makes gait therapy more accessible and affordable for patients
  • May reduce the number of in-office visits with physical therapists
    • Reduces cost for patient
    • Allows for rehabilitation at home
    • Less labor-intensive
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For more information about the inventor(s) and their research, please see