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Dokumenttyp:
journal article 
Autor(en):
Dias, A; Gorzelniak, L; Döring, A; Hartvigsen, G; Horsch, A 
Titel:
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...    »
 
Zeitschriftentitel:
Stud Health Technol Inform 
Jahr:
2011 
Band / Volume:
169 
Seitenangaben Beitrag:
445-9 
Sprache:
eng 
Print-ISSN:
0926-9630 
TUM Einrichtung:
r Medizinische Statistik und Epidemiologie