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Team Members

  • Katerina Gregoriou

Timeline

  •  
    Status
     Finish debugging sweater prototype
    •  Build separate sweater for this project, or just add additional FLORA to wrist?
  •  
    Status
     Compile example code from Mazen

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Project Video

Video due and should be uploaded to your page by 6/5.  See previous course pages for example videos.

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Cerebral Palsy (CP) is the most common motor disorder in childhood, affecting over 17 million individuals worldwide (Cerebral Palsy Foundation). The majority of these individuals are unable to perform activities of daily living (ADL) due to wrist contracture, a result of . As a   and are therefore one of the most common symptoms of the spastic subtype of CP. As a result, these individuals are often forced to rely on a caregiver.

 

In a few paragraphs or less, describe the goal of your project and any relevant background information.

To be completed by 5/8., stifling their independence. Furthermore, because a cure does not yet exist for CP, in order to improve their symptoms they often spend a significant part of their lives in physical or occupational therapy, in addition to trying various assistive devices which range from exoskeletons at $50-100k to rigid braces. The lifetime care cost for an individual with CP is over $1 million (Cerebral Palsy Foundation).

 

The overarching goal of this project—which extends beyond the work of ME 485—is to develop assistive clothing for individuals with movement disorders, first starting with CP. The two driving motivations are to 1) facilitate increased independence in individuals with movement disorders, and 2) to significantly decrease the financial barrier to treatment. The first prototypes draw therapeutic principles from literature on vibration therapy and Functional Electrical Stimulus (FES). Katusic et al. conclude that vibration therapy may reduce improve motor function and decrease spasticity. Furthermore, Wright and Granat's findings on FES on the wrist extensor muscles in children with CP showed increased wrist extension and increased overall hand function during treatment and at follow-up.

 

To tie in the literature with the overarching goals, we will build an assistive sweater that detects intent—in this case, reaching for an object—with two IMUs. One Adafruit 9-DOF accelerometer/gyroscope/compass will be sewn on the garment just under the right armpit, and the other will be sewn near the right bicep. An additional set of two IMUs will be swen at the inside of the wrist and on the outside of the hand in order to detect a change in wrist flexion angle. For the therapeutic component, a vibrating motor will be sewn in at the wrist extensors, and will be activated after a determined change in position of the upper arm.

 

For the scope of this class, our goal is to convert IMU data from the aforementioned four sensors into live-stream kinematic data in OpenSim. Our hope is that such a system will allow us to test in real time the therapeutic effectiveness of different sensor placements, as well as sensor placement on new garments, such as for the lower extremities. 

Research Question(s)

  1. How can we convert IMU data from an upper-extremity assistive article of clothing to live-stream kinematics in OpenSim?
  2. Where is the best placement for IMUs to track changes in wrist angle following a vibrational stimulus?

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