Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease

Stefano Filippo Castiglia
ORCID logo ,
Dante Trabassi
* ,
Carmela Conte
,
Alberto Ranavolo
ORCID logo ,
Gianluca Coppola
ORCID logo ,
Gabriele Sebastianelli
,
Chiara Abagnale
,
Francesca Barone
,
Federico Bighiani
,
Roberto De Icco
,
Cristina Tassorelli
ORCID logo ,
Mariano Serrao
Version 1 : Received: 16 March 2023 / Approved: 17 March 2023 / Online: 17 March 2023 (10:11:42 CET)

A peer-reviewed article of this Preprint also exists.

Castiglia, S.F.; Trabassi, D.; Conte, C.; Ranavolo, A.; Coppola, G.; Sebastianelli, G.; Abagnale, C.; Barone, F.; Bighiani, F.; Icco, R.D.; Tassorelli, C.; Serrao, M. Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease. Sensors 2023, 23, 4983. Castiglia, S.F.; Trabassi, D.; Conte, C.; Ranavolo, A.; Coppola, G.; Sebastianelli, G.; Abagnale, C.; Barone, F.; Bighiani, F.; Icco, R.D.; Tassorelli, C.; Serrao, M. Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease. Sensors 2023, 23, 4983.

Abstract

The aim of this study was to assess the ability of multiscale sample entropy (MSE), refined composite multiscale entropy (RCMSE), and complexity index (CI) to characterize gait complexity through trunk acceleration patterns in subjects with Parkinson's disease (swPD) and healthy subjects, regardless of age or gait speed. The trunk acceleration patterns of 51 swPD and 50 HS were acquired using a lumbar-mounted magneto-inertial measurement unit during their walking. MSE, RCMSE, and CI were calculated on 2000 data points, using scale factors (τ) 1-6. Differences between swPD and HS were calculated at each τ, and the area under the receiver operating characteristics, optimal cutoff points, post-test probabilities, and diagnostic odds ratios were calculated. MSE in the antero-posterior direction at τ 4 and τ 5, and MSE in the ML direction at τ 4 outperformed the other entropy measures in terms of discriminative ability and characterized the gait of swPD with 79%, 82%, and 78% probabilities, respectively, and correlated with the motor disability, pelvic kinematics, and stance phase. Using a time series of 2000 data points, a scale factor of 4 or 5 in the MSE procedure can be considered as a marker of gait variability and complexity in swPD.

Keywords

Multiscale Sample Entropy; Refine Composite Multiscale Entropy; Cerebellar Ataxia; Parkinson’s disease; Trunk acceleration time series; Complexity index; Gait variability; Gait complexity; Gait pattern; Movement disorders

Subject

Engineering, Bioengineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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