title: STFT-based denoising of biomechanical impact signals.
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.
authors.affiliation: Division of Engineering, King's College London, WC2R 2LS, UK. tsz_kin.hon@kcl.ac.uk
authors.forename: Tsz K
authors.initials: TK
authors.lastname: Hon
authors.forename: Suba R
authors.initials: SR
authors.lastname: Subramaniam
authors.forename: Apostolos
authors.initials: A
authors.lastname: Georgakis
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D005583:Fourier Analysis