Literature DB >> 27616268

Continuous three dimensional analysis of running mechanics during a marathon by means of inertial magnetic measurement units to objectify changes in running mechanics.

Jasper Reenalda1, Erik Maartens2, Lotte Homan2, J H Jaap Buurke3.   

Abstract

Recent developments in wearable and wireless sensor technology allow for a continuous three dimensional analysis of running mechanics in the sport specific setting. The present study is the first to demonstrate the possibility of analyzing three dimensional (3D) running mechanics continuously, by means of inertial magnetic measurement units, to objectify changes in mechanics over the course of a marathon. Three well trained male distance runners ran a marathon while equipped with inertial magnetic measurement units on trunk, pelvis, upper legs, lower legs and feet to obtain a 3D view of running mechanics and to asses changes in running mechanics over the course of a marathon. Data were continuously recorded during the entire 42.2km (26.2Miles) of the Marathon. Data from the individual sensors were transmitted wirelessly to a receiver, mounted on the handlebar of an accompanying cyclist. Anatomical calibration was performed using both static and dynamic procedures and sensor orientations were thus converted to body segment orientations by means of transformation matrices obtained from the segment calibration. Joint angle (hip, knee and ankle) trajectories as well as center of mass (COM) trajectory and acceleration were derived from the sensor data after segment calibration. Data were collected and repeated measures one way ANOVA׳s, with Tukey post-hoc test, were used to statistically analyze differences between the defined kinematic parameters (max hip angle, peak knee flexion at mid-stance and at mid-swing, ankle angle at initial contact and COM vertical displacement and acceleration), averaged over 100 strides, between the first and the last stages (8 and 40km) of the marathon. Significant changes in running mechanics were witnessed between the first and the last stage of the marathon. This study showed the possibility of performing a 3D kinematic analysis of the running technique, in the sport specific setting, by using inertial magnetic measurement units. For the three runners analyzed, significant changes were observed in running mechanics over the course of a marathon. The present measurement technique therefore allows for more in-depth study of running mechanics outside the laboratory setting.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fatigue; Inertial magnetic measurement units; Marathon running; Running mechanics

Mesh:

Year:  2016        PMID: 27616268     DOI: 10.1016/j.jbiomech.2016.08.032

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  27 in total

1.  Changes in segment coordination variability and the impacts of the lower limb across running mileages in half marathons: Implications for running injuries.

Authors:  Tony Lin-Wei Chen; Duo Wai-Chi Wong; Yan Wang; Qitao Tan; Wing-Kai Lam; Ming Zhang
Journal:  J Sport Health Sci       Date:  2020-09-28       Impact factor: 7.179

2.  Wearables for Running Gait Analysis: A Systematic Review.

Authors:  Rachel Mason; Liam T Pearson; Gillian Barry; Fraser Young; Oisin Lennon; Alan Godfrey; Samuel Stuart
Journal:  Sports Med       Date:  2022-10-15       Impact factor: 11.928

3.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

4.  The Effect of the Accelerometer Operating Range on Biomechanical Parameters: Stride Length, Velocity, and Peak Tibial Acceleration during Running.

Authors:  Christian Mitschke; Pierre Kiesewetter; Thomas L Milani
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

5.  Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Biomed Eng Online       Date:  2017-05-15       Impact factor: 2.819

6.  Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors.

Authors:  Frank J Wouda; Matteo Giuberti; Giovanni Bellusci; Erik Maartens; Jasper Reenalda; Bert-Jan F van Beijnum; Peter H Veltink
Journal:  Front Physiol       Date:  2018-03-22       Impact factor: 4.566

7.  Validation of a High Sampling Rate Inertial Measurement Unit for Acceleration During Running.

Authors:  Thomas Provot; Xavier Chiementin; Emeric Oudin; Fabrice Bolaers; Sébastien Murer
Journal:  Sensors (Basel)       Date:  2017-08-25       Impact factor: 3.576

8.  Towards Machine Learning-Based Detection of Running-Induced Fatigue in Real-World Scenarios: Evaluation of IMU Sensor Configurations to Reduce Intrusiveness.

Authors:  Luca Marotta; Jaap H Buurke; Bert-Jan F van Beijnum; Jasper Reenalda
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

9.  Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors.

Authors:  Yosuke Tomita; Tomoki Iizuka; Koichi Irisawa; Shigeyuki Imura
Journal:  Sensors (Basel)       Date:  2021-05-24       Impact factor: 3.576

10.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17
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