DocumentCode
1956855
Title
Walking analysis: Empirical relation between kurtosis and degree of cyclostationarity
Author
Zakaria, F.A. ; El-Badaoui, M. ; Maiz, S. ; Guillet, F. ; Khalil, M. ; Khalil, K. ; Halimi, M.
Author_Institution
AZM Center for Res. in Biotechnol., Lebanese Univ., Tripoli, Lebanon
fYear
2013
fDate
11-13 Sept. 2013
Firstpage
93
Lastpage
96
Abstract
The objective of the research is to develop new methods or indicators regarding cyclostationarity (CS) that could clearly point out and differentiate between walking disorder signals. Normal human locomotion is the rather grand term given to the description of walking by individuals who fall within the range considered as “normal”, and is seen as a sequence of cyclic and repeated gestures. It is a highly individual and variable activity influenced by many various factors. Analysis and treatment of such sequences, are demonstrated, and have proved that such processes are cyclostationary. This article suggests that “Kurtosis” provides a strong indicator of CS, and shows empirically the existence of a relationship between the “Kurtosis” and the known indicator of CS; specifically “the degree of cyclostationarity (DCS)”. An empirical study on the biomechanics of locomotion is performed with the objective of using it as supportive evidence of that relationship.
Keywords
gait analysis; medical disorders; biomechanics; cyclic gestures; degree-of-cyclostationarity; empirical relation; human locomotion; kurtosis; repeated gestures; walking analysis; walking disorder signals; Biomechanics; Correlation; Diseases; Legged locomotion; Mathematical model; Senior citizens; Signal processing; Cyclostationarity; DCS; Kurtosis; SMTEC system; walking signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Biomedical Engineering (ICABME), 2013 2nd International Conference on
Conference_Location
Tripoli
Print_ISBN
978-1-4799-0249-1
Type
conf
DOI
10.1109/ICABME.2013.6648855
Filename
6648855
Link To Document