Person: Gómez Fernández, Marisol
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Gómez Fernández
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Marisol
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Matemática e Informática
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0000-0003-3431-1256
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279
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Publication Open Access Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation(IEEE, 2019) Zivanovic, M; Millor, N; Gomez, M; Gómez Fernández, Marisol; Millor Muruzábal, Nora; Zivanovic Jeremic, Miroslav; Estadística, Informática y Matemáticas; Ingeniería Eléctrica, Electrónica y de Comunicación; Estatistika, Informatika eta Matematika; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenWe 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.