Digital Biobank
eGaIT – embedded Gait analysis using Intelligent Technologies
Study Design
Validation stride segmentation
The eGaIT database for the stride segmentation validation consists of data from 70 subjects. 25 elderly controls for template generation, 15 elderly controls and 15 patients with Parkinson’s disease (PD) for algorithm evaluation were recorded at the Movement Disorder Unit of the Department of Molecular Neurology, University Hospital Erlangen, Germany. Sensor data from 15 geriatric patients were acquired at the Geriatrics Centre, Waldkrankenhaus St. Marien, Erlangen, Germany. All subjects gave written informed consent. A detailed table with subject characteristics can be found in [1].
Validation gait parameters
The eGaIT database for the gait parameter validation consists of data from 101 subjects (55 female and 46 male, age 82.1 ± 6.5 years, height 164.0 ± 10.0 cm, mean ± standard deviation (SD)) that performed straight walking tests. All subjects gave written informed consent. A detailed table with subject characteristics can be found in [2].
Hardware Equipment and Sensor Setup
Two SHIMMER (Shimmer Research, Dublin, Ireland) sensors were used for data acquisition. Each sensor node was equipped with a triaxial accelerometer and a triaxial gyroscope and was attached to the lateral side of a sports shoe. Data were sampled with 102.4 Hz and were streamed via Bluetooth to a standard windows computer.
Citation
Validation stride segmentation
[1] Barth, J., Oberndorfer, C., Pasluosta, C., Schülein, S., Gassner, H., Reinfelder, S., Kugler, P., Schuldhaus, D., Winkler, J., Klucken, J., & Eskofier, B. M. (2015). Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors, 15(3), 6419-6440.
Validation gait parameter
[2] Rampp, A., Barth, J., Schülein, S., Gaßmann, K.-G., Klucken, J., & Eskofier, B. M. (2015). Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients. IEEE Transactions on Biomedical Engineering, 62(4), 1089-1097.
Please cite this publication when using eGaIT data
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Validation stride segmentation
Data Loading
A example script to load the data with Matlab is included in the data. A Python library to load the data is available from Github.
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