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PhysioBank Gait Dynamics Studies Tutorial


Browse PhysioBank Gait Dynamics Studies data in NIF
For more information, visit the NeuroLex entry for PhysioBank, or visit PhysioBank Homepage

 

PhysioBank is a large and growing archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging.

Currently, NIF indexes two Gait Dynamics studies from PhysioBank; 1) Gait Dynamics in Neuro-Degenerative Diseases Database & 2) Gait Dynamics in Parkinson’s Disease. To access PhysioBank data through NIF, the best search is for PhysioBank, shown below.

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Results for PhysioBank can be found under;

Data Federation > Data Type > Dataset

Within the Gait in Parkinson’s Disease dataset, the following information can be found and searched: Id, Subject Type, Gender, Age (years), Height (meters), Weight (kilograms), Hoehn and Yahr staging 0-5, Unified Parkinson’s Disease Rating Scale of 100%, UPDRSM, Timed Up and Go sec, Speed (.01 m/s), Speed (10 m/s), and Reference.

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Within the Gait Dynamics in Neuro-Degenerative Diseases Database, the following information can be found and searched: Id, Subject Type, Gender, Age (years), Height (meters), Weight (kilograms), Gait Speed, Duration, and Publication.

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From these search results, users are able to export the complete structured dataset, as a CVS file, and perform secondary statistical analyses across the Gait Data using the export button located on the upper right above the search results.

For more information about the PhysioBank: Gait in Parkinson’s Disease dataset visit their information page. For more information about the PhysioBank: Gait Dynamics in Neuro-Degenerative Diseases dataset visit their information page.

 

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