Novoic's audio feature extraction library
A new accessible interface for your smartphone, suitable for seniors
A Folding@Home Docker container with GPU support
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.
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.
Sorce code of Apkinson: android app to monitor the motor symptoms of Parkinson's patients
Parkinson's disease data analysis from uci machine learning repository dataset.
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
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…
Android app that tracks tremors and recommends follow up action
Measure the amplitude of Parkinson's hand tremors using computer vision methods. Written for my dissertation at the University of Manchester.
Computer Intelligence subject final project at UPC.
Parkinson's disease clinical study app
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…
Detection of Degree of Parkinsonism via the Spiral Test
early detection method for parkinson's disease using deep ensemble learning on MRI dataset
Detection of Parkinson’s Disease Using Vocal Features: An Eigen Approach
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