Andrew Creagh's repositories
B18-Wearables-Laboratory
The B18 Biomedical Modelling and Monitoring (A10589) Wearables Laboratory, Department of Engineering Science, The University of Oxford.
CDTworkshop_ML4timeseries
The Oxford EPSRC CDT in Health Data Science, Machine Learning for Time-Series Course (2021-2022)
MS-GAIT_feature_extraction
Software detailing the extraction of smartphone and smartwatch-based ambulatory features to accompany the publication: Creagh et al. (2020), "Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test", IEEE J-BHI, 10.1109/JBHI.2020.2998187 https://ieeexplore.ieee.org/abstract/document/9103259 The codebase demonstrates how to perform modular, scalable and parallelizable gait feature extraction from triaxial inertial sensor data.
apcreagh.github.io
Academic website for Dr. Andrew P. Creagh: andrewcreagh.com
DaS_feature_extraction
Software detailing the extraction of smartphone touch screen drawing features from the Draw a Shape test, assessed as part of the Floodlight PoC app for people with multiple sclerosis (PwMS).
MS-GAIT_InterpretableDL
Software for Interpretable Deep Convolutional Neural Network (DCNN) framework applied to smartphone-based inertial sensor data for Remote Patient Monitoring (RPM) of gait in people with multiple sclerosis (PwMS) and healthy controls (HC).
Oxford_Wearables_Activity_Recognition
Notebooks for CDT Wearables Data Challenge