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Parkinetics

2024
Team Members:
  • Viggy Vanchinathan
  • Ramya Palani
  • Jaya Hamkins
  • Matthew Farah
  • Nana Osei-Owusu
  • Arihant Singh
  • Chloe Zhang
  • Roma Desai
Advisors:
  • Michelle Zwernermann
Sponsors:
  • Dr. James R. Brasic
  • Manuel Hernandez, PhD
  • Ryan Roemmich, PhD
  • Alex Pantelyat, MD
  • Stephen Grill, MD, PhD
  • Unnathi Shashikumar

Abstract:

Parkinson Disease (PD) is an incurable neurodegenerative disorder characterized by severe motor symptoms that affects approximately one million Americans. Medication is available to mitigate these symptoms but must be readjusted frequently as patient responsiveness wanes over time. However, neurologists have limited scope of information to determine the optimal dosing scheme for their patients, given their dependence on unreliable and incomplete self-reported symptoms. This can result in underprescription, leading to the return of debilitating symptoms, or overprescription, causing adverse drug effects. Thus, neurologists need an objective way to monitor at-home mobility of PD patients in order to precisely adjust medication. We propose a novel sensor system to monitor the motor symptoms of PD patients as they engage in activities of daily living (ADLs). Analysis of longitudinal symptom progression will be presented to clinicians on a dashboard to aid in the informed adjustment of medication, improving quality of life.

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