Title :
STFT-based denoising of biomechanical impact signals
Author :
Hon, Tsz K. ; Subramaniam, Suba R. ; Georgakis, Apostolos
Author_Institution :
Div. of Eng., King´´s Coll. London, London, UK
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
We present an advanced denoising method for non-stationary biomechanical signals with the aim of accurately estimating their second derivative (acceleration). The proposed algorithm is based on the short-time Fourier transform (STFT) representation of the signal and its subsequent modification by means of a suitable time-varying filtering function. The application of the method to experimentally acquired biomechanical signals demonstrated that the proposed algorithm is more robust against noise and achieves a more accurate acceleration-peak estimation as compared to commonly used conventional low-pass filtering.
Keywords :
Fourier transforms; acceleration measurement; biomechanics; filters; impact (mechanical); medical signal processing; signal denoising; STFT based denoising; acceleration; advanced denoising method; biomechanical impact signals; biomechanical signal second derivative; nonstationary biomechanical signals; short time Fourier transform; time varying filtering function; Acceleration; Filtering algorithms; Low pass filters; Signal to noise ratio; Time frequency analysis; Algorithms; Biomechanics; Fourier Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5628013