A new accessible interface for your smartphone, suitable for seniors

Novoic's audio feature extraction library

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.

Parkinson's disease data analysis from uci machine learning repository dataset.

Analysis of Parkinson's Progressive Markers Initiative Data

Parkinson's disease clinical study app

Sorce code of Apkinson: android app to monitor the motor symptoms of Parkinson's patients

A Folding@Home Docker container with GPU support

Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.

Multimodal Dataset of Freezing of Gait in Parkinson's Disease

Cluster analysis of Parkinson's disease

Detect the onset of possible risk of Parkinson's disease with the help of clinical data using Machine Learning Models.

early detection method for parkinson's disease using deep ensemble learning on MRI dataset

Aplicación Android utilizada para recoger datos de los sensores.

Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"

Parkinson Disease Detection using Machine Learning

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

Parkinson disease is associated with movement disorder symptoms, such as tremor, rigidity, bradykinesia, and postural instability. The manifestation of bradykinesia and rigidity is often in the early stages of the disease. These have a noticeable effect on the handwriting and sketching abilities of patients, and micrographia has been used for ea…

Big Data Architecture of queues for real time video processing

Detection of Degree of Parkinsonism via the Spiral Test