Identification of Directed Interactions in Kinematic Data during Running
The knowledge of motion dynamics during running activity is crucial to enhance the development of rehabilitation techniques and injury prevention programs. Recent studies investigated the interaction between joints, using several analysis techniques, as cross-correlation, sensitivity analysis, among...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2017-10-01
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Series: | Frontiers in Bioengineering and Biotechnology |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fbioe.2017.00067/full |
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author | Giovana Y. Nakashima Giovana Y. Nakashima Theresa H. Nakagawa Ana F. dos Santos Fábio V. Serrão Michel Bessani Carlos D. Maciel |
author_facet | Giovana Y. Nakashima Giovana Y. Nakashima Theresa H. Nakagawa Ana F. dos Santos Fábio V. Serrão Michel Bessani Carlos D. Maciel |
author_sort | Giovana Y. Nakashima |
collection | DOAJ |
description | The knowledge of motion dynamics during running activity is crucial to enhance the development of rehabilitation techniques and injury prevention programs. Recent studies investigated the interaction between joints, using several analysis techniques, as cross-correlation, sensitivity analysis, among others. However, the direction of the joints pairing is still not understood. This paper proposes a study of the influence direction pattern in healthy runners by using kinematic data together with partial directed coherence, a frequency approach of Granger causality. The analysis was divided into three anatomical planes, sagittal, frontal, and transverse, and using data from ankle, knee, hip, and trunk segments. Results indicate a predominance of proximal to distal influence during running, reflecting a centralized anatomic source of movements. These findings highlight the necessity of managing proximal joints movements, in addition to motor control and core (trunk and hip) strengthening training to lumbar spine, knee, and ankle injuries prevention and rehabilitation. |
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id | doaj.art-ed1b2bfce07140319a35b89c5e52ee5a |
institution | Directory Open Access Journal |
issn | 2296-4185 |
language | English |
last_indexed | 2024-04-12T08:08:21Z |
publishDate | 2017-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Bioengineering and Biotechnology |
spelling | doaj.art-ed1b2bfce07140319a35b89c5e52ee5a2022-12-22T03:41:03ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852017-10-01510.3389/fbioe.2017.00067297966Identification of Directed Interactions in Kinematic Data during RunningGiovana Y. Nakashima0Giovana Y. Nakashima1Theresa H. Nakagawa2Ana F. dos Santos3Fábio V. Serrão4Michel Bessani5Carlos D. Maciel6Federal Institute of Education, Science and Technology of São Paulo, Campus Salto, Salto, BrazilLaboratory of Signal Processing (LPS), Electrical Engineering Department (EESC), University of São Paulo, São Carlos, BrazilUninorte, Laureate International Universities, Manaus, BrazilLaboratory of Assessment and Intervention in Orthopaedics and Traumatology (LAIOT), Physiotherapy Department, Federal University of São Carlos, São Carlos, BrazilLaboratory of Assessment and Intervention in Orthopaedics and Traumatology (LAIOT), Physiotherapy Department, Federal University of São Carlos, São Carlos, BrazilLaboratory of Signal Processing (LPS), Electrical Engineering Department (EESC), University of São Paulo, São Carlos, BrazilLaboratory of Signal Processing (LPS), Electrical Engineering Department (EESC), University of São Paulo, São Carlos, BrazilThe knowledge of motion dynamics during running activity is crucial to enhance the development of rehabilitation techniques and injury prevention programs. Recent studies investigated the interaction between joints, using several analysis techniques, as cross-correlation, sensitivity analysis, among others. However, the direction of the joints pairing is still not understood. This paper proposes a study of the influence direction pattern in healthy runners by using kinematic data together with partial directed coherence, a frequency approach of Granger causality. The analysis was divided into three anatomical planes, sagittal, frontal, and transverse, and using data from ankle, knee, hip, and trunk segments. Results indicate a predominance of proximal to distal influence during running, reflecting a centralized anatomic source of movements. These findings highlight the necessity of managing proximal joints movements, in addition to motor control and core (trunk and hip) strengthening training to lumbar spine, knee, and ankle injuries prevention and rehabilitation.http://journal.frontiersin.org/article/10.3389/fbioe.2017.00067/fullpartial-directed coherenceGranger causalitykinematicsrunningknee |
spellingShingle | Giovana Y. Nakashima Giovana Y. Nakashima Theresa H. Nakagawa Ana F. dos Santos Fábio V. Serrão Michel Bessani Carlos D. Maciel Identification of Directed Interactions in Kinematic Data during Running Frontiers in Bioengineering and Biotechnology partial-directed coherence Granger causality kinematics running knee |
title | Identification of Directed Interactions in Kinematic Data during Running |
title_full | Identification of Directed Interactions in Kinematic Data during Running |
title_fullStr | Identification of Directed Interactions in Kinematic Data during Running |
title_full_unstemmed | Identification of Directed Interactions in Kinematic Data during Running |
title_short | Identification of Directed Interactions in Kinematic Data during Running |
title_sort | identification of directed interactions in kinematic data during running |
topic | partial-directed coherence Granger causality kinematics running knee |
url | http://journal.frontiersin.org/article/10.3389/fbioe.2017.00067/full |
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