A new accessible interface for your smartphone, suitable for seniors

AssemblyNet: 3D Whole Brain MRI segmentation pipeline

Multimodal Dataset of Freezing of Gait in Parkinson's Disease

A machine learning approach to detection of Parkinson's disease.

Portfolio Project for DSR: Modelling Parkinson Disease Progression

Detect Parkinsons using XGBoost and NN's, see Medium article for in-depth

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Detection of Degree of Parkinsonism via the Spiral Test

Computer Intelligence subject final project at UPC.

Parkinson detection based on wave sketches and deep learning - PDS

🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system

Open Source design for Vibrotactile Coordinated Reset (vCR) Gloves.

Parkinson’s disease is a central nervous system disorder. Its symptoms occur because of low dopamine levels in the brain. Four Primary symptoms are tremor, rigidity, slow movement and balance problems. Till now no cure for Parkinson’s Disease is known, treatment aims to reduce the effects of the symptoms.

🏥 서울대학교 파킨슨센터 재활 어플리케이션 - V2.1.1

Parkinson's disease is a progressive nervous system disorder that affects movement. Symptoms start gradually, sometimes starting with a barely noticeable tremor in just one hand.

Work did at the end of my internship, based on Nastaran Hamedi et al. Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals

帕金森 医生版

Parkinsons-Disease-Detection This is a project which predicts whether a person have Parkinson's Disease or not

帕金森 标定板

Predicting Parkinson decease using decision trees