Title :
Gait analysis and automatic gait event identification using accelerometers
Author :
Zdragkas, George I. ; Avaritsiotis, John N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens
Abstract :
In this paper a method for footstep detection and gait event identification is presented. A three-axis accelerometer can be mounted on someonepsilas foot to record the acceleration signals produced by their gait. The data can be analysed in real time or after a period of time to identify the gait events and their respective acceleration values. Data analysis consists of signal processing in order to point out some characteristics of the signals. Furthermore an algorithm is proposed for the automatic gait event identification based on these signals.
Keywords :
accelerometers; biomedical equipment; biomedical measurement; gait analysis; medical signal processing; automatic gait event identification; footstep detection; gait analysis; signal processing; three-axis accelerometer; Acceleration; Accelerometers; Data analysis; Foot; Legged locomotion; Optical signal processing; Real time systems; Signal processing; Signal processing algorithms; Stability;
Conference_Titel :
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-2844-1
Electronic_ISBN :
978-1-4244-2845-8
DOI :
10.1109/BIBE.2008.4696843
