Overview
I designed and developed DynoReader, a Windows application that combines patient grip strength data with electrode readings to optimize deep-brain stimulation settings. This tool provides clinicians with precise insights for tailoring therapy to individual patients.
My Contributions
Application Design and Development: Created a Windows application to facilitate patient assessments during deep-brain stimulation therapy. The app guides patients through tasks using visual cues and captures detailed grip strength data.
Data Integration: Engineered seamless integration of grip strength data with BrainVision software, enabling real-time analysis alongside electrode signal readings.
Visual Cue System: Designed an intuitive interface to prompt patients for squeezing a dynamometer, ensuring accurate and repeatable measurements.
Precision and Reliability: Focused on high accuracy in data acquisition and communication, meeting stringent medical requirements for deep-brain stimulation devices.