Application of singular spectrum analysis to the smoothing of raw kinematic signals.

Abstract:

:Motion capture systems currently used in biomechanical analysis introduce systematic measurement errors that appear in the form of noise in recorded displacement signals. The noise is unacceptably amplified when differentiating displacements to obtain velocities and accelerations. To avoid this phenomenon, it is necessary to smooth the displacement signal prior to differentiation in order to eliminate the noise introduced by the experimental system. The use of singular spectrum analysis (SSA) is presented in this paper as an alternative to traditional digital filtering methods. SSA is a novel non-parametric technique based on principles of multivariate statistics. The original time series is decomposed into a number of additive time series, each of which can be easily identified as being part of the modulated signal, or as being part of the random noise. Several examples that demonstrate the superiority of this technique over other methods used in biomechanical analysis are presented in this paper.

journal_name

J Biomech

journal_title

Journal of biomechanics

authors

Alonso FJ,Castillo JM,Pintado P

doi

10.1016/j.jbiomech.2004.05.031

keywords:

subject

Has Abstract

pub_date

2005-05-01 00:00:00

pages

1085-92

issue

5

eissn

0021-9290

issn

1873-2380

pii

S0021929004002702

journal_volume

38

pub_type

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