MIT researchers have been very busy this year with projects like RoboCap and now, the MuscleRehab system. It enables physicians to see the inner structure of the body during physical rehab and consists of a tracking suit that measures the activity of quadriceps, sartorius, hamstrings, as well as abductors.
Virtual reality is then used to capture the 3D movement data. When in this virtual world, the patient’s avatar performs alongside a physical therapist under two conditions. In the first, only motion tracking data is overlaid onto their patient avatar. The second situation has the patient wearing EIT sensing straps for all the information of the motion and muscle engagement. When combined, these two conditions allow one to visualize both muscle engagement and motion data during these unsupervised exercises instead of just motion alone, thus improving overall accuracy of exercises by 15 percent.
- Pay tribute to the classic Sonic the Hedgehog video game and recapture the magic in LEGO style with this brick-built version of the famous game level
- Includes a Sonic the Hedgehog LEGO minifigure, Dr. Eggman with buildable Eggmobile, Moto Bug with 2 face options, and Crabmeat figures
- Push the lever and launch the LEGO Sonic minifigure for Super Sonic jumps to evade the Bug and Crabmeat LEGO Sonic figures and collect the rings
We wanted our sensing scenario to not be limited to a clinical setting, to better enable data-driven unsupervised rehabilitation for athletes in injury recovery, patients currently in physical therapy, or those with physical limiting ailments, to ultimately see if we can assist with not only recovery, but perhaps prevention. By actively measuring deep muscle engagement, we can observe if the data is abnormal compared to a patient’s baseline, to provide insight into the potential muscle trajectory,” said Junyi Zhu, MIT PhD student in electrical engineering and computer science.
