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Titel:

Extracting gait parameters from raw electronic walkway data

Autor(en):
Dias, Andr'e; Gorzelniak, Lukas; Döring, Angela; Hartvigsen, Gunnar; Horsch, Alexander
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...     »
Stichworte:
Acceleration, Algorithms, Computers, Equipment Design, Gait, Humans, Medical Informatics, Signal Processing, Computer-Assisted, Software, Time Factors, User-Computer Interface, Walking
Zeitschriftentitel:
Studies in health technology and informatics
Jahr:
2011
Band / Volume:
169
Seitenangaben Beitrag:
445--449
Sprache:
eng
Print-ISSN:
0926-9630
Hinweise:
PMID: 21893789
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