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
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;
Conference_Titel :
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location :
Syracuse, NY
Print_ISBN :
978-1-4673-4928-4
DOI :
10.1109/NEBEC.2013.152
