Database Open Access
Gait in Aging and Disease Database
Jeffrey Hausdorff , Patrick Purdon , Chung-Kang Peng
Published: Oct. 13, 2000. Version: 1.0.0
Please include the standard citation for PhysioNet:
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Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
Walking stride interval time series included are from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. The file name indicates old (o), young (y) or Parkinson's disease (pd). For the old and young subjects, the age (in years) is also included in the filename.
Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a “gold” standard.
Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson’s disease as they walked for 6 minutes up and down a long hallway.
You may download gait-data.tar (150K), a UNIX tar archive of this entire mini-collection, also available in gzip-compressed form as gait-data.tar.gz ( 47K). (WinZip users, please read this important note.) If you prefer, you may download individual text recordings.
For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot).
The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site.
JM Hausdorff, PL Purdon, CK Peng, Z Ladin, JY Wei, AL Goldberger. Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations. J Appl Physiol 80:1448-1457, 1996.
JM Hausdorff, SL Mitchell, R Firtion, CK. Peng, ME Cudkowicz, JY Wei and AL Goldberger. Altered fractal dynamics of gait: reduced stride interval correlations with aging and Huntington's disease. J Appl Physiol 82:262-269, 1997.
JM Hausdorff, ME Cudkowicz, R Firtion, JY Wei, AL Goldberger. Gait variability and basal ganglia disorders: stride-to-stride variations of gait cycle timing in Parkinson's and Huntington's disease. Mov Disord 13:428-437, 1998.
On the Reylab web site, a mini-tutorial, including an introduction to this database, is available. For further information, please contact JM Hausdorff.
Anyone can access the files, as long as they conform to the terms of the specified license.
License (for files):
Open Data Commons Attribution License v1.0
Total uncompressed size: 354.6 KB.
Access the files
- Download the ZIP file (363.8 KB)
- Access the files using the Google Cloud Storage Browser here. Login with a Google account is required.
Access the data using the Google Cloud command line tools (please refer to the gsutil
documentation for guidance):
gsutil -m -u YOUR_PROJECT_ID cp -r gs://gaitdb-1.0.0.physionet.org DESTINATION
Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/gaitdb/1.0.0/