Detection of Degree of Parkinsonism via the Spiral Test

Computer Intelligence subject final project at UPC.

Parkinson's diagnosis and prescreen application for Android

The code repository for "Parkinson’s severity diagnosis explainable model based on 3D multi-head attention residual network"

Uso de biomarcadores extraídos de la voz para la detección de la enfermedad del Parkinson

The project strives to predict the risk of Parkinson's Disease progression in the patient based on the evaluation of baseline motor and non-motor symptoms of the patients via machine learning approach.

🏆 HackWestern 1st Place (Data Visualization) - 🏥 Developed a Human Machine Interface though position tracking to accurately diagnose degenerative disorders such as Parkinson's. Built using Leap Motion hardware integrated with FFT ML algorithm with Python and displayed with Javascript and Angular 7.