Publication:
Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation

Date

2019

Authors

Zivanovic, M
Millor, N
Gomez, M
Zivanovic Jeremic, Miroslav

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

Abstract

We present a novel approach to drift-free position estimation from noisy acceleration signals which often arise from quasi-periodic small-amplitude body movements. In contrast to the existing methods, this data-driven strategy is designed to properly describe time-variant harmonic structures in single-channel acceleration signals for low signal-to-noise ratios. Methods: It comprises three processing steps: (1) shorttime modeling of acceleration dynamics (instantaneous harmonic amplitudes and phases) in the analysis frame, (2) analytical integration which yields short-time position, and (3) overlap-add recombination for full length position synthesis. Results: The comparative results, obtained from the medio-lateral Xacceleration components from 30s Chair Stand Test recordings, suggest that the proposed method outperforms two state-of-theart reference methods in terms of Euclidean error, root mean square error, correlation coefficient and harmonic-to-noise ratio. Conclusion: A major benefit of the method is that acceleration signal components unrelated to movement are suppressed in the whole analysis bandwidth, which allows for position estimation completely free of low-frequency artifacts. Significance: We believe that the method can be useful in frailty assessment in elderly population, as well as in clinical applications related to gait analysis in aging and rehabilitation.

Description

Keywords

Inertial unit, Quasi-periodic movement, Integration drift and noise, Instantaneous harmonic amplitude and phase, 30-s chair stand test

Department

Estadística, Informática y Matemáticas / Ingeniería Eléctrica, Electrónica y de Comunicación / Estatistika, Informatika eta Matematika / Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren

Faculty/School

Degree

Doctorate program

item.page.cita

Zivanovic, M, Millor, N, Gomez, M (2019) Modeling of Noisy Acceleration Signals From Quasi-Periodic Movements for Drift-Free Position Estimation. IEEE Journal of biomedical and health informatics, 23(4), 1558-1565. https://doi.org/10.1109/JBHI.2018.2868370.

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