Wearable Technology to Characterize and Treat mTBI Subtypes: Biofeedback-Based Precision Rehabilitation
Wearable Technology to Characterize and Treat mTBI Subtypes: Biofeedback-Based Precision Rehabilitation
Current clinical assessment tools are often not sensitive enough to detect and treat some subtle (yet troubling) problems after mTBI. In this study, the investigators will use wearable sensors to both assess and treat people with mTBI. Specifically, the investigators will provide immediate feedback, with visual and/or auditory, on movement quality during physical therapy. This immediate feedback on performance may improve outcomes as the investigators will measure multiple body segments including head movements simultaneously with balance and walking exercises. Such complex movements are needed for safe return to high level activity and military duty. The investigators will test this approach against a standard vestibular rehabilitation program. There are few potential risks to this study such as increasing symptoms and a small fall risk. Benefits include physical therapy for balance problems regardless of therapy with or without biofeedback. An indirect benefit is to have data on correct dosage of physical therapy. The investigators will also distinguish which concussion subtype profiles benefit most from physical therapy. This will help healthcare providers and patients by providing more information to help establish clinical guidelines and new tools for physical therapy.
Mild traumatic brain injury (mTBI) is common and can cause long-term problems. Balance problems are one of the most common problems and can prevent people from returning to their previous quality of life. People with mTBI can have many symptoms that present differently (i.e., 'subtypes'), making it difficult to evaluate and treat. Subtypes include cognitive, ocular-motor (vision problems), headache, vestibular (balance and dizziness) and mood. Correct detection of subtypes is important for patients to get the best and most specific (to their subtype) care, as quickly as possible. Our group has expertise in the subtypes that could likely affect balance and gait (vestibular and ocular-motor; V/O) and investigators plan to use wearable sensors and objective measures to improve detection and treatment of the problems that commonly occur in these subtypes. The investigators will test an approach (multi-segmental biofeedback) using wearable sensors that can measure how people move overall and can provide immediate feedback on how multiple body segments move during vestibular rehabilitation. Specifically, these sensors can provide feedback on head and body movement and speed but also measure how stable balance and walking are during an exercise. The investigators believe real-time feedback during the exercises will improve the quality of rehabilitation, specifically for those patients with V/O subtypes. The investigators also want to explore whether people with V/O subtypes move differently in the real world. The investigators will do this by measuring daily life mobility over 7 days using wearable sensors.
The Aims of this project are:
Inclusion Criteria:
For all Aims, participants may be either civilians, active duty military, or Veterans, and must:
Exclusion Criteria:
Participants must not:
kingla@ohsu.edu503-418-2602
stojak@ohsu.edu971-420-4351
Portland, Oregon 97239-3098, United States
kingla@ohsu.edu503-418-2602
stojak@ohsu.edu971-420-4351
peter.fino@utah.edu801-213-1363
lee.dibble@hsc.utah.edu