(IEEE, 2019) Zivanovic, Miroslav; Millor Muruzábal, Nora; Gómez Fernández, Marisol; Estadística, Informática y Matemáticas; Ingeniería Eléctrica, Electrónica y de Comunicación; Estatistika, Informatika eta Matematika; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
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.
