Machine Learning Identifies Chronic Low Back Pain Patients f…

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Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test

Article 2022 EN Gold

Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (SampEn), which assesses the complexity of motion variability in identifying the condition of low back pain…

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10 authors
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1 Paul Thiry Corresponding Centre National de la Recherch… (FR) Université de Lille (FR) +3
2 Martin Houry Haute École de Namur-Liège-Lux… (BE) —
3 Laurent Philippe Haute École de Namur-Liège-Lux… (BE) —
4 Olivier Nocent Performance Santé, Métrologie,… (FR) Université de Reims Champagne-… (FR)
5 Fabien Buisseret University of Mons (BE)
6 Frédéric Dierick Centre National de Rééducation… (LU) UCLouvain (BE)
7 Rim Slama Centre d'Etudes Superieures In… (FR)
8 William Bertucci Performance Santé, Métrologie,… (FR) Université de Reims Champagne-… (FR)
9 André Thévenon Université de Lille (FR) Centre Hospitalier Universitai… (FR)
10 Émilie Simoneau-Buessinger Centre National de la Recherch… (FR) Laboratoire d'Automatique, de … (FR) +1
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