A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain

Francisco Carrillo-Perez, Ignacio Diaz-Reyes, Miguel Damas, Oresti Banos, Victor Manuel Soto-Hermoso, Alejandro Molina-Molina

2018

Abstract

INTRODUCTION: Low Back Pain is a common muscular disorder that most adults would experience over their lives. In healthy patients at the end of a lumbar flexion occur a phenomenon called the Flexion Relaxation Phenomenon. Ratios between different phases of lumbar flexion can help diagnosing LBP patients. The aim of this work is to create an automated algorithm to compute this ratios helping to discriminate between healthy and LBP athletes. MATERIALS AND METHODS: 21 participants were recruited: 10 LBP and 11 healthy. Participants were tested with Lumbar Flexion Test for evaluating LBP. sEMG were recorded in low back muscles. RESULTS: Athletes diagnosed with LBP showed ratios lower than 1.5. For healthy participants we observed results greater than 1.5. DISCUSSION AND CONCLUSION: Our results are contained between rates found in literature. Our algorithm can help the diagnose of athletes with a non-intrusive method and with little knowledge of sEMG analysis.

Paper Citation

in Harvard Style

Carrillo-Perez F., Diaz-Reyes I., Damas M., Banos O., Soto-Hermoso V. and Molina-Molina A. (2018). A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain.In Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-325-4, pages 34-39. DOI: 10.5220/0006922600340039

in Bibtex Style

@conference{icsports18,
author={Francisco Carrillo-Perez and Ignacio Diaz-Reyes and Miguel Damas and Oresti Banos and Victor Manuel Soto-Hermoso and Alejandro Molina-Molina},
title={A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain},
booktitle={Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2018},
pages={34-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006922600340039},
isbn={978-989-758-325-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain
SN - 978-989-758-325-4
AU - Carrillo-Perez F.
AU - Diaz-Reyes I.
AU - Damas M.
AU - Banos O.
AU - Soto-Hermoso V.
AU - Molina-Molina A.
PY - 2018
SP - 34
EP - 39
DO - 10.5220/0006922600340039