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Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Dias, A; Gorzelniak, L; Döring, A; Hartvigsen, G; Horsch, A
Title:
Extracting gait parameters from raw electronic walkway data.
Abstract:
Spatiotemporal gait parameters are very important for the detection of gait impairments and associated conditions. Current methods to measure such parameters, e.g. electronic walkways or force plates, are costly and can only be used in a laboratory. The new generation of raw data accelerometers might be a cheap and flexible alternative. We conducted a small feasibility study with 50 subjects from the KORA-Age project exploring the output of GAITRite and Actigraph GT3X. We open-sourced a package...     »
Journal title abbreviation:
Stud Health Technol Inform
Year:
2011
Journal volume:
169
Pages contribution:
445-9
Language:
eng
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/21893789
Print-ISSN:
0926-9630
TUM Institution:
Institut für Medizinische Statistik und Epidemiologie
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