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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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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)

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Methods

This can include:

  • Model(s) used
  • Simulation strategy
  • Computational tools
  • Experimental procedures/data
  • Flow chart of methods

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