Database Open Access
Tai Chi, Physiological Complexity, and Healthy Aging - Gait
Published: May 11, 2017. Version: 1.0.0 <View latest version>
New Database Added: Tai Chi, Physiological Complexity, and Healthy Aging-Gait (May 11, 2017, midnight)
The Tai Chi, Physiological Complexity, and Healthy Aging-Gait database contains two-channel gait recordings of 87 older adults from the Greater Boston area. Subjects were from a hybrid study design that included a two-arm randomized clinical trial (RCT) along with an additional observational comparison group.
Wayne PM, Manor B, Novak V, et al. A Systems Biology Approach to Studying Tai Chi, Physiological Complexity and Healthy Aging: Design and Rationale of a Pragmatic Randomized Controlled Trial. Contemporary clinical trials. 2013;34(1):21-34. doi:10.1016/j.cct.2012.09.006.
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.
The "Tai Chi, Physiological Complexity, and Healthy Aging—Gait" database contains two-channel gait recordings of 87 older adults from the Greater Boston area.
We employed a hybrid study design that included a two-arm randomized clinical trial (RCT) along with an additional observational comparison group. The Tai Chi naïve group included sixty healthy older participants, aged 50–79 years, living within the Greater Boston area, and reporting no regular Tai Chi practice within the past 5 years. Subjects were either randomized to 6 months of Tai Chi or usual care. Subjects came in for a baseline visit along with 3 month and 6 month follow-ups. The Tai Chi expert group consisted of twenty-seven healthy, older, aged 50-79 years, adults currently engaged in an active Tai Chi training regimen, each with at least 5 years of Tai Chi experience. The expert group was tested only at their baseline visit.
Steady-state gait dynamics were assessed during over ground walking at preferred speed. Subjects walked along a long corridor (48m or 23m) that was wide enough (5m) to enable smooth turning. To record consecutive stride-to-stride durations, subjects had foot-switches (Mega Elektronika, Inc) inserted into their shoes, and the ME6000 data acquisition monitor attached to their waist. To collect the sufficient number of steps required for complexity measures, approximately 10 minutes of continuous walking was completed. Some instances had to be recorded in two parts, with file names ending with P1 and P2.
The data files are provided in standard WFDB format, named:
- SXXX_VY(_PZ) - for non-masters
- SXXX_master(_PZ) - for masters
where XXX is the subject number, Y is the visit number, and Z is the recording part for instances that had to be recorded in two segments. Group allocation by Subject ID with age, gender, BMI, visit, trail making time, category fluency, hallway length, number of laps, and distance walked, can be found in the accompanying file: TCPCHA_Subjects.csv.
This database was contributed by Peter Wayne (pwayne[at]partners.org) and Brian J Gow (bgow[at]bidmc.harvard.edu).
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: 503.2 MB.
Access the files
- Download the ZIP file (503.3 MB)
- 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://taichidb-1.0.0.physionet.org DESTINATION
Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/taichidb/1.0.0/