DocumentCode
627958
Title
Wavelet Decomposition to Detect Periodic Signals in Head Accelerometry Measures
Author
Sani, Shahrokh N. ; Roscoe, Brian J. ; Cai, Xiaobin ; Alamgir, Zahiruddin M. ; Wang, Ruiqi ; Robinson, Charles J.
Author_Institution
Depts of Electr. & Comput. Engr, of Mech. Engr, Clarkson Univ., Potsdam, NY, USA
fYear
2013
fDate
5-7 April 2013
Firstpage
209
Lastpage
210
Abstract
An ~1 Hz signal appears in head accelerometry measures, but is difficult to extract by normal FFT techniques because of the addition of a subject´s sway. The spectrum of the sway overlaps that of the periodicity spectrum. A wavelet transform is used here to remove the sway component to better extract the periodic signal.
Keywords
accelerometers; bioelectric potentials; medical signal detection; medical signal processing; signal denoising; wavelet transforms; FFT technique; head accelerometry measurement; periodic signal detection; periodic signal extraction; periodicity spectrum; sway component; wavelet decomposition; wavelet transform; Acceleration; Accelerometers; Band-pass filters; Head; Wavelet analysis; Wavelet transforms; periodicity; sway; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location
Syracuse, NY
ISSN
2160-7001
Print_ISBN
978-1-4673-4928-4
Type
conf
DOI
10.1109/NEBEC.2013.152
Filename
6574432
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