Literature DB >> 22677321

Monitoring kinematic changes with fatigue in running using body-worn sensors.

Christina Strohrmann1, Holger Harms, Cornelia Kappeler-Setz, Gerhard Tröster.   

Abstract

In this paper, we investigate monitoring of kinematic changes evoked by fatigue in running using wearable technology. Movement data were recorded with ETHOS devices. ETHOS is the ETH Orientation Sensor, a customized inertial measurement unit for unconstrained monitoring of human movement. We perform two real-world experiments, in which 21 runners of different skill levels participated. The real-world experiments capture two exhausting 45-min runs: one on a treadmill and one on a conventional outdoor track. We describe and evaluate algorithms to extract kinematic parameters from the sensor data. We identified parameters that change with fatigue for all runners, ones that change for runners of distinct skill levels, and ones that are dependent on an individual's running technique. Overall, we found that observations from treadmill running are not always generalizable to outdoor running. We, thus, argue for using wearable technology to provide athletes and trainers with continuous, quantitative objective measurements of running technique. These could be used to further gain insight into the complex relationship of running kinematics, injury risk, fatigue, and running economy.

Entities:  

Mesh:

Year:  2012        PMID: 22677321     DOI: 10.1109/TITB.2012.2201950

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  20 in total

Review 1.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

2.  Cardiovascular health informatics: risk screening and intervention.

Authors:  Craig J Hartley; Morteza Naghavi; Oberdan Parodi; Constantinos S Pattichis; Carmen C Y Poon; Yuan-Ting Zhang
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-09

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.  Running-Induced Fatigue Changes the Structure of Motor Variability in Novice Runners.

Authors:  Felix Möhler; Cagla Fadillioglu; Lucia Scheffler; Hermann Müller; Thorsten Stein
Journal:  Biology (Basel)       Date:  2022-06-20

5.  Classifying lower extremity muscle fatigue during walking using machine learning and inertial sensors.

Authors:  Jian Zhang; Thurmon E Lockhart; Rahul Soangra
Journal:  Ann Biomed Eng       Date:  2013-10-01       Impact factor: 3.934

6.  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

7.  The influence of the gait-related arm swing on elevation gain measured by sport watches.

Authors:  Rahel Ammann; Wolfgang Taube; Matthias Neuhaus; Thomas Wyss
Journal:  J Hum Kinet       Date:  2016-07-02       Impact factor: 2.193

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.  Monitoring motor capacity changes of children during rehabilitation using body-worn sensors.

Authors:  Christina Strohrmann; Rob Labruyère; Corinna N Gerber; Hubertus J van Hedel; Bert Arnrich; Gerhard Tröster
Journal:  J Neuroeng Rehabil       Date:  2013-07-30       Impact factor: 4.262

10.  An API for Wearable Environments Development and Its Application to mHealth Field .

Authors:  Fabio Sartori
Journal:  Sensors (Basel)       Date:  2020-10-22       Impact factor: 3.576

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