Supplementary Material to the Manuscript Titled: Mobile Phone Sensors Can Discern Medication-Related Gait Quality Changes in Parkinson's Patients in a Real-World Setting
Niklas König Ignasiak, Albert Pierce, Vincent Berardi, Wilford K. Eiteman-Pang, and Cyril Rakovski
This file contains the data that was used to classify high and low quality gait patterns in patients with Parkinson's disease. Acceleration and gyroscope data was recorded with a conventional smartphone in a real-world environment. High (i.e. ON medication) and low (i.e. OFF medication) quality labels were given by a human observer according to medication intake times.
Supplementary Material to the Manuscript Titled: Self-Paced Treadmills Do Not Allow for Valid Observation of Linear and Non-Linear Gait Variability Outcomes in Patients with Parkinson’s Disease
Niklas König Ignasiak, Maryam Rohafza, Rahul Soangra, and Jo Armour Smith
The data contains measurements on patients with Parkinson's disease and healthy participants walking outdoors, as well as on a treadmill. Stride time and stride length information has been recorded using an inertial measurement unit system. The data allows comparison of linear and non-linear gait variability outcomes from overground walking and treadmill walking for validation purposes.