Filtering Biomechanical Signals in Movement Analysis

Francesco Crenna; Giovanni Battista Rossi; Marta Berardengo

doi:10.3390/s21134580

journal article Open Access Jul 04, 2021

Filtering Biomechanical Signals in Movement Analysis

Francesco Crenna

Giovanni Battista Rossi

Marta Berardengo

Sensors Vol. 21 No. 13 pp. 4580 · MDPI AG

View at Publisher Save 10.3390/s21134580

Abstract

Biomechanical analysis of human movement is based on dynamic measurements of reference points on the subject’s body and orientation measurements of body segments. Collected data include positions’ measurement, in a three-dimensional space. Signal enhancement by proper filtering is often recommended. Velocity and acceleration signal must be obtained from position/angular measurement records, needing numerical processing effort. In this paper, we propose a comparative filtering method study procedure, based on measurement uncertainty related parameters’ set, based upon simulated and experimental signals. The final aim is to propose guidelines to optimize dynamic biomechanical measurement, considering the measurement uncertainty contribution due to the processing method. Performance of the considered methods are examined and compared with an analytical signal, considering both stationary and transient conditions. Finally, four experimental test cases are evaluated at best filtering conditions for measurement uncertainty contributions.

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References

Details

Published: Jul 04, 2021
Vol/Issue: 21(13)
Pages: 4580
License: View

Authors

F

Francesco Crenna

Measurement and Biomechanics Laboratory, Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, Via Opera Pia 15A, 16145 Genova, Italy

G

Giovanni Battista Rossi

Measurement and Biomechanics Laboratory, Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, Via Opera Pia 15A, 16145 Genova, Italy

M

Marta Berardengo

Measurement and Biomechanics Laboratory, Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, Via Opera Pia 15A, 16145 Genova, Italy

Funding

This work was partially funded by EU H2020 program, Project EUROBENCH (grant N° 779963 - sub-project BULLET) Award: 779963

Cite This Article

Francesco Crenna, Giovanni Battista Rossi, Marta Berardengo (2021). Filtering Biomechanical Signals in Movement Analysis. Sensors, 21(13), 4580. https://doi.org/10.3390/s21134580

Filtering Biomechanical Signals in Movement Analysis

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