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Article

Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain Patients

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LAMIH, CNRS, UMR 8201, Université Polytechnique Hauts-de-France, F-59313 Valenciennes, France
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CHU Lille, Université de Lille, F-59000 Lille, France
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CeREF Technique, Chaussée de Binche 159, 7000 Mons, Belgium
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PSMS, Université de Reims Champagne Ardenne, F-51867 Reims, France
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Service de Physique Nucléaire et Subnucléaire, Université de Mons, UMONS Research Institute for Complex Systems, 20 Place du Parc, 7000 Mons, Belgium
*
Authors to whom correspondence should be addressed.
Academic Editor: Philippe Ravier
Entropy 2022, 24(4), 437; https://doi.org/10.3390/e24040437
Received: 13 February 2022 / Revised: 11 March 2022 / Accepted: 18 March 2022 / Published: 22 March 2022
(This article belongs to the Special Issue Entropy in the Application of Biomedical Signals)
Low back pain (LBP) obviously reduces the quality of life but is also the world’s leading cause of years lived with disability. Alterations in motor response and changes in movement patterns are expected in LBP patients when compared to healthy people. Such changes in dynamics may be assessed by the nonlinear analysis of kinematical time series recorded from one patient’s motion. Since sample entropy (SampEn) has emerged as a relevant index measuring the complexity of a given time series, we propose the development of a clinical test based on SampEn of a time series recorded by a wearable inertial measurement unit for repeated bending and returns (b and r) of the trunk. Twenty-three healthy participants were asked to perform, in random order, 50 repetitions of this movement by touching a stool and another 50 repetitions by touching a box on the floor. The angular amplitude of the b and r movement and the sample entropy of the three components of the angular velocity and acceleration were computed. We showed that the repetitive b and r “touch the stool” test could indeed be the basis of a clinical test for the evaluation of low-back-pain patients, with an optimal duration of 70 s, acceptable in daily clinical practice. View Full-Text
Keywords: low back pain; sample entropy; regularity; complexity; inertial measurement unit; motion analysis; variability low back pain; sample entropy; regularity; complexity; inertial measurement unit; motion analysis; variability
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MDPI and ACS Style

Thiry, P.; Nocent, O.; Buisseret, F.; Bertucci, W.; Thevenon, A.; Simoneau-Buessinger, E. Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain Patients. Entropy 2022, 24, 437. https://doi.org/10.3390/e24040437

AMA Style

Thiry P, Nocent O, Buisseret F, Bertucci W, Thevenon A, Simoneau-Buessinger E. Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain Patients. Entropy. 2022; 24(4):437. https://doi.org/10.3390/e24040437

Chicago/Turabian Style

Thiry, Paul, Olivier Nocent, Fabien Buisseret, William Bertucci, André Thevenon, and Emilie Simoneau-Buessinger. 2022. "Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain Patients" Entropy 24, no. 4: 437. https://doi.org/10.3390/e24040437

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