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

fYear

2008

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BIBE.2008.4696843

Filename

4696843