Harshil Patel
Pronouns:
Research Mentor(s): David Lipps
Research Mentor School/College/Department: Movement Science / Kinesiology
Program:
Authors: Harshil Patel, Amani Alkayyali, Max Shtein, David Lipps
Session: Session 2: 10:00 am – 10:50 am
Poster: 27
Abstract
Abstract Title: Assessing a Wearable Technology’s Ability to Detect Shoulder Movement Type in Abstract Here (200-300 words): The complex anatomy of the shoulder makes it difficult to measure its movement. In particular, it is difficult to measure the movement of the glenohumeral joint, which acts as a ball and socket joint. Measuring the movement of the glenohumeral joint is vital for monitoring shoulder pain, injury, and recovery. Thus, this study assesses an engineered sensor system for improved monitoring of internal and external glenohumeral rotation. Seventeen healthy individuals who are 18 or older participated in this study. They wore a shoulder patch with embedded strain gauges that conformed to the shape of the shoulder. All performed an experimental protocol consisting of five internal and five external rotation trials. Upon an initial data analysis, the sensor found distinct differences in the movement patterns of participants as they performed prescribed movements that resulted in either internal or external shoulder rotation. This suggests that the movement of shoulder muscles under the shoulder patch can be measured with this new wearable sensor. Ultimately, the study strived to develop a new wearable technology that detected internal and external shoulder movements that could also be used when a patient is at home. More data analysis needs to be done to form more definite conclusions. Future work regarding cost, deployment, and clinical use in diagnosing shoulder issues needs to be done performed as well.
