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

Parkinson detection based on wave sketches and deep learning - PDS

Computer Intelligence subject final project at UPC.

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

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

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

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.

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

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.

Proyecto para predecir casos de enfermedades neurológicas en México mediante modelos de aprendizaje automático y análisis demográfico.

Predicting Parkinson decease using decision trees

MultiAgent-Based Model (MABM) designed to simulate Parkinson's disease using Repast Simphony.

帕金森 医生版

You can find the code for performing an experimental study using finger tapping videos. In the next sections, you can find the steps to configure and use the code that is present in this repository.

帕金森 标定板

Algorithms and Example Cases for Machine Learning

Final work of the Bachelor of Science in Computer Science at the Regional University of Blumenau. Repository to store the tests and models of the neural networks built during the course of the project.

This is same problem which is solved in https://github.com/ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER project. But here we have used Logistic Regression instead of XGBClassifier to classify the Statuses as 0 or 1 i.e. Parkinson positive or negative. And clearly we can see that how our Accuracy suddenly dropped from 95% to 84% as we moved from XGBClassifier to Logistic Regression.

The main website of the study "A stereotaxic brain atlas for a novel MCI-park mouse model." All validated atlas will be displayed here.

Hardware device capable of collect and transmit human inertial data movements.

A secure, HIPAA-compliant platform for tracking Parkinson's symptoms. Enables healthcare monitoring and generates anonymized datasets for AI/ML research. Features symptom tracking, medication adherence, and caregiver integration with multilingual support.

Parkinson's disease following helper for iOS

Visual Surround Suppression using EEG