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Authors: Francisco Carrillo-Perez 1 ; Ignacio Diaz-Reyes 1 ; Miguel Damas 1 ; Oresti Banos 1 ; Victor Manuel Soto-Hermoso 2 and Alejandro Molina-Molina 2

Affiliations: 1 Department of Computer Architecture and Computer Technology, E.T.S.I.I.T., Universidad de Granada, Calle Periodista Daniel Saucedo Aranda, Granada and Spain ; 2 Department of Sport and Physical Education, Universidad de Granada, Granada and Spain

Keyword(s): sEMG, LBP, Algorithm, FRP, Muscle Activity, LFT.

Related Ontology Subjects/Areas/Topics: Health and Fitness ; Health, Sports Performance and Support Technology ; Sport Science Research and Technology

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.

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Paper citation in several formats:
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; ISSN 2184-3201, SciTePress, pages 34-39. DOI: 10.5220/0006922600340039

@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},
issn={2184-3201},
}

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
IS - 2184-3201
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
PB - SciTePress

- Science and Technology Publications, Lda.
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