FILTERING SIGNALS FOR MOVEMENT ANALYSIS IN BIOMECHANICS

Francesco Crenna, Giovanni B. Rossi, Vittorio Belotti, Alice Palazzo

Abstract

Biomechanical analysis of human movement is generally based on various kinds of dynamic measurement, including the measurement of the positions, in a three dimensional space, of reference points fixed on the subject’s body and the orientation of body segments. Signal enhancement by proper filtering is often recommended. Often velocity and acceleration signal must be obtained from position-measurement records, which demands special care in numerical processing. Therefore we propose a comparative study of various filtering methods, based both on simulated and experimental signals, in order to develop guidelines for optimum dynamic measurement. Performance of the various methods are examined and compared and indications for their selection and use are provided. Uncertainty evaluation is also addressed. Particular attention is given to filter behaviour in transient conditions.

Keywords

measurement of human movement, biomechanics, kinematic analysis, signal-filtering in biomechanics

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IMEKO-WC-2015-TC18-350.pdf

DOI

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IMEKO TC

TC18 - Measurement of Human Functions

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