Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies
Elbow injuries, prevalent in various sports, significantly impact an athlete’s performance and career longevity. Traditional rehabilitation methods, while effective to a degree, often miss the mark in terms of precision and personalised care. This gap necessitates a shift towards more sophisticated...
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Ediciones Universidad de Salamanca
2024-12-01
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Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
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Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31939 |
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author | Sergio Alonso-Rollán Sergio Márquez-Sánchez Albano Carrera Isaac M. S. Froes Juan F. Blanco |
author_facet | Sergio Alonso-Rollán Sergio Márquez-Sánchez Albano Carrera Isaac M. S. Froes Juan F. Blanco |
author_sort | Sergio Alonso-Rollán |
collection | DOAJ |
description | Elbow injuries, prevalent in various sports, significantly impact an athlete’s performance and career longevity. Traditional rehabilitation methods, while effective to a degree, often miss the mark in terms of precision and personalised care. This gap necessitates a shift towards more sophisticated rehabilitation strategies. This study introduces a pioneering approach in elbow rehabilitation, utilising cutting-edge wearable tracking technologies along with the telerehabilitation paradigm. The focus is on increasing the precision and efficacy of rehabilitation processes. We developed a state-of-the-art wearable device, equipped with sophisticated sensors, to accurately track elbow joint movements, including position, rotation, and flexion, in real-time. The device provides detailed data, allowing for nuanced diagnosis and effective monitoring during rehabilitation phases. This data is integrated into a specialised application, enabling comprehensive data analysis and the formulation of personalised rehabilitation plans with real-time feedback. The device demonstrated a notable improvement in the precision of monitoring and effectiveness of rehabilitation strategies, allowing the measurement of the range of motion (RoM) within an error of ±3 degrees. A comparative analysis with traditional methods revealed significant advancements in accuracy, adherence to prescribed rehabilitation regimens, and overall speed of recovery. |
format | Article |
id | doaj-art-ae0fb9dcab134195a5570d29ebcd5b9b |
institution | Kabale University |
issn | 2255-2863 |
language | English |
publishDate | 2024-12-01 |
publisher | Ediciones Universidad de Salamanca |
record_format | Article |
series | Advances in Distributed Computing and Artificial Intelligence Journal |
spelling | doaj-art-ae0fb9dcab134195a5570d29ebcd5b9b2025-01-23T11:25:18ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632024-12-0113e31939e3193910.14201/adcaij.3193937420Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking TechnologiesSergio Alonso-Rollán0Sergio Márquez-Sánchez1Albano Carrera2Isaac M. S. Froes3Juan F. Blanco4BISITE Research Group, University of Salamanca, Calle Espejo s/n. Edificio Multiusos I+D+i, 37007 Salamanca, SpainAir Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain. BISITE Research Group, University of Salamanca, Calle Espejo s/n. Edificio Multiusos I+D+i, 37007 Salamanca, SpainAir Institute, IoT Digital Innovation Hub, 37188 Salamanca, SpainAir Institute, IoT Digital Innovation Hub, 37188 Salamanca, SpainDepartment of trauma and orthopaedics surgery, Spine Unit, University Hospital of Salamanca, IBSAL, SpainElbow injuries, prevalent in various sports, significantly impact an athlete’s performance and career longevity. Traditional rehabilitation methods, while effective to a degree, often miss the mark in terms of precision and personalised care. This gap necessitates a shift towards more sophisticated rehabilitation strategies. This study introduces a pioneering approach in elbow rehabilitation, utilising cutting-edge wearable tracking technologies along with the telerehabilitation paradigm. The focus is on increasing the precision and efficacy of rehabilitation processes. We developed a state-of-the-art wearable device, equipped with sophisticated sensors, to accurately track elbow joint movements, including position, rotation, and flexion, in real-time. The device provides detailed data, allowing for nuanced diagnosis and effective monitoring during rehabilitation phases. This data is integrated into a specialised application, enabling comprehensive data analysis and the formulation of personalised rehabilitation plans with real-time feedback. The device demonstrated a notable improvement in the precision of monitoring and effectiveness of rehabilitation strategies, allowing the measurement of the range of motion (RoM) within an error of ±3 degrees. A comparative analysis with traditional methods revealed significant advancements in accuracy, adherence to prescribed rehabilitation regimens, and overall speed of recovery.https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31939elbow rehabilitationwearable technologysports medicinetelerehabilitationathlete recovery |
spellingShingle | Sergio Alonso-Rollán Sergio Márquez-Sánchez Albano Carrera Isaac M. S. Froes Juan F. Blanco Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies Advances in Distributed Computing and Artificial Intelligence Journal elbow rehabilitation wearable technology sports medicine telerehabilitation athlete recovery |
title | Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies |
title_full | Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies |
title_fullStr | Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies |
title_full_unstemmed | Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies |
title_short | Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies |
title_sort | evaluation and refinement of elbow recovery in sports medicine using smart tracking technologies |
topic | elbow rehabilitation wearable technology sports medicine telerehabilitation athlete recovery |
url | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31939 |
work_keys_str_mv | AT sergioalonsorollan evaluationandrefinementofelbowrecoveryinsportsmedicineusingsmarttrackingtechnologies AT sergiomarquezsanchez evaluationandrefinementofelbowrecoveryinsportsmedicineusingsmarttrackingtechnologies AT albanocarrera evaluationandrefinementofelbowrecoveryinsportsmedicineusingsmarttrackingtechnologies AT isaacmsfroes evaluationandrefinementofelbowrecoveryinsportsmedicineusingsmarttrackingtechnologies AT juanfblanco evaluationandrefinementofelbowrecoveryinsportsmedicineusingsmarttrackingtechnologies |