This dataset provides spatio-temporal gait parameters recorded from 35 Parkinson's disease patients during real-world gait and unsupervised 4x10 Meter Walking tests.
It belongs to the publication "Fall Risk Prediction in Parkinson’s Disease Using Real-World Inertial Sensor Gait Data" by Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, and Felix Kluge, accepted in the IEEE Journal of Biomedical and Health Informatics (JBHI).
The data was collected as part of the FallRiskPD study (DRKS-ID: DRKS00015085) between March 2019 and June 2021 by the University Hospital Erlangen, the Hospital Rummelsberg, and the Ernst von Bergmann Hospital Potsdam.
Raw data was recorded with the Mobile GaitLab (Portabiles HealthCare Technologies GmbH, Erlangen, Germany), consisting of two foot-worn inertial measurement units placed to the instep of the shoes.
The recordings were acquired over the course of approximately two weeks, while the participants were following their activities of daily living and were additionally asked to perform 4x10 Meter Walking tests three times per day with preferred walking speed.
After the gait recordings, fall events were captured over three months in a paper-based diary.
The sensor recordings were processed to stride-level spatio temporal gait parameters using a pipeline of gait sequence detection (Ullrich et al., 2020, JBHI), stride segmentation (Barth et al., 2015, Sensors), and event detection with trajectory reconstruction (Rampp et al., 2015, TBME).
The following gait parameters are available: stride time [s], stance time [s], swing time [s], stride length [m], gait speed [m/s], IC foot angle [deg], FC foot angle [deg], maximum foot lift [m].
Three files are provided with the data set:
1. strides_realworld_publication.csv: Contains the parameterized strides of the real-world activities including the patient ID, the date and time information, and the IDs of the corresponding walking bouts in which the respective strides can be grouped together.
2. strides_4x10m_pref_at_home_publication.csv: Contains the parameterized strides of the unsupervised 4x10 Meter Walking tets including the patient ID, the date and time information, and the IDs of the corresponding gait tests that are counted with a suffix in the ID within one day.
3. patient_data_publication.csv: Contains the basic patient information including demographics, UPDRS-III score, Hoehn and Yahr stage, and the occurance of falls in the follow up phase.
We would like to thank M. Südmeyer, A. Amouzandeh, M. Graap, M. Winterholler, S. Zimmet, R. Zagel, T. Reichhardt and T. Greinwalder for their effort in recording the data set as well as all participants of the study for their contributions.
