Team 11: Bilateral Limb Assessment Technology (BLAsT)

Title Slide

After a brain or spinal cord injury, pediatric patients often suffer from hemiparesis—a weakness on one side of the body—inhibiting their ability to execute fundamental motor tasks. Currently, occupational therapists rely on subjective visual observations to track patient progress across therapy sessions, which can introduce bias and error into treatment plans. Consequently, a more objective method of evaluating patient performance is needed. BLAsT is a low-cost solution using a combination of sensors for wireless data collection in three dimensions and pose estimation software for the tracking of joint positioning. Skeletal tracking implementation via the Kinect library gives access to upper body positioning data. In tandem, a wearable device comprised of an IMU and flex sensor is designed to extract 3D rotational wrist data and measure finger flexion. The quantitative data received from the system will be further analyzed and processed for easy visual physician interpretation. Thus, enabling therapists with the ability to make data-driven decisions and deliver more metric-based care to their patients.

ESE Senior Design 4min Presentation video link: https://www.youtube.com/watch?v=LPBRkRePOLg

YouTube link to 30 seconds Video: https://www.youtube.com/watch?v=kcJZk-5Gq2E