Parkinson's Progression Marker Initiative data science challenge, 2016
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Updated
Feb 24, 2017 - R
Parkinson's Progression Marker Initiative data science challenge, 2016
GENEPARK is a large study that aimed for finding blood-based biomarkers Parkinson's disease. Here we provide the R code for reproducing the main results of the project.
Android app that tracks tremors and recommends follow up action
This project was used for participating in the Subchallenges 2.1-2.3 of the Parkinson's disease digital biomarker DREAM challenge
This project was used for participating in the MPower Subchallenge of the Parkinson's disease digital biomarker DREAM challenge
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.
Aplicación web utilizada para la visualización remota de los datos de cada paciente.
Neurograph app, a talented student project at the University of Sydney
Aplicación Android utilizada para recoger datos de los sensores.
Pilulier pour les patients atteint de Parkinson, CHU de Montpellier
A machine learning approach to detection of Parkinson's disease.
This is a final group project for Computational Biology (CS167) implementing Tempo (http://bcb.cs.tufts.edu/tempo/) on a unique Parkinson's dataset. This project was contributed to equally by Kevin Kapner, Carlos Lopez-Rodriguez, and Qing Zhu.
Spiro is an accessible, cheap, and portable diagnostic tool for the detection of Parkinson’s disease.
Dataanalysis of beta-band induced responses measured by magnetoencephalography (MEG) during passive movements of the index finger in Parkinson's patients and healthy controls
Detection of Degree of Parkinsonism via the Spiral Test
My Ph.D. thesis finished and defended at the Brno University of Technology (2018). The package contains all necessary files such as bibtex, template, texts, figures, and all other files according to http://latex.feec.vutbr.cz
Parkinson's disease following helper for iOS
App to Detect Parkinson's Disease
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