Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation
| dc.contributor.author | Zivanovic, Miroslav | |
| dc.contributor.author | Millor Muruzábal, Nora | |
| dc.contributor.author | Gómez Fernández, Marisol | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2024-02-12T11:04:44Z | |
| dc.date.available | 2024-02-12T11:04:44Z | |
| dc.date.issued | 2019 | |
| dc.date.updated | 2024-02-12T10:58:33Z | |
| dc.description.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. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | 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. | en |
| dc.identifier.doi | 10.1109/JBHI.2018.2868370 | |
| dc.identifier.issn | 2168-2194 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/47438 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 4, July 2019 | en |
| dc.relation.publisherversion | https://doi.org/10.1109/JBHI.2018.2868370 | |
| dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Inertial unit | en |
| dc.subject | Quasi-periodic movement | en |
| dc.subject | Integration drift and noise | en |
| dc.subject | Instantaneous harmonic amplitude and phase | en |
| dc.subject | 30-s chair stand test | en |
| dc.title | Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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