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 Biomechjournal_title
Journal of biomechanicsauthors
Alonso FJ,Castillo JM,Pintado Pdoi
10.1016/j.jbiomech.2004.05.031keywords:
subject
Has Abstractpub_date
2005-05-01 00:00:00pages
1085-92issue
5eissn
0021-9290issn
1873-2380pii
S0021929004002702journal_volume
38pub_type
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