Novoic's audio feature extraction library
A new accessible interface for your smartphone, suitable for seniors
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.
A Folding@Home Docker container with GPU support
Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"
Detect the onset of possible risk of Parkinson's disease with the help of clinical data using Machine Learning Models.
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
Parkinson's disease data analysis from uci machine learning repository dataset.
Sorce code of Apkinson: android app to monitor the motor symptoms of Parkinson's patients
Analysis of Parkinson's Progressive Markers Initiative Data
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…
Detection of Degree of Parkinsonism via the Spiral Test
Android app that tracks tremors and recommends follow up action
Computer Intelligence subject final project at UPC.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Parkinson Disease Detection using Machine Learning
An AI-based mobile application that is able to diagnose Parkinson's Disease using two independent tests that require only a pencil and a paper. Based on the 2017 research paper Distinguishing Different Stages of Parkinson's Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral by Zham et. al. The trained models were deplo…
As an early diagnosis step machine learning classifiaction algorithms could be used in finding if the patient is prone to parkinsons disease.
Detection of Parkinson’s Disease Using Vocal Features: An Eigen Approach 🤖🧠
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