Validation of a Single Inertial Sensor for Measuring Running Kinematics Overground During a Prolonged Run

Introduction: The purpose of this study was to validate acceleration data from a single inertial sensor containinga tri-axial accelerometer, whilst running overground during a prolonged run against a motion analysis system. Methods: An inertial sensor was placed on the low back of 10 runners who performed an 8 km run on a treadmill.To provide validation of the sensor, data were collected as runners ran along a runway through a motion analysis system at the beginning and throughout the run.Results: High levels of agreement between the two systems were found in the craniocaudal and mediolateral acceleration, with antero posterior having the least agreement with greatest Typical Error of the Estimate (0.66 sample points). Very high to extremely high correlations across all testing times were found in all three directions of accelerations (r=0.75 to 0.95). Heel strike and toe off events were identified in anteroposterior and craniocaudal acceleration, with high levels of agreement and extremely high correlations (r=0.99) between the two systems.Minimal variation and change in agreement and correlation between the data at each testing time were found. Discussion: This study provides evidence that a single inertial sensor placed on the low back is valid for measuring three-dimensional acceleration in overground running during a prolonged run. Further analysis identified specific events of heel strike and toe off and were comparable between the two systems. The minimal variation and change in agreement between the two systems during the run indicates the adherence method of the inertial sensor was suitable. Conclusions: The results of this study indicate that data collected from a single inertial sensor is highly correlated with simultaneous data collected using a motion analysis system, and has the capability to identify heelstrike and toe off events in overground running throughout a prolonged fatiguing run.

[1]  Reed Ferber,et al.  Classification accuracy of a single tri-axial accelerometer for training background and experience level in runners. , 2014, Journal of biomechanics.

[2]  D.V. Thiel,et al.  Measurement of Energy Expenditure in Elite Athletes Using MEMS-Based Triaxial Accelerometers , 2007, IEEE Sensors Journal.

[3]  B. Auvinet,et al.  Effect of fatigue on stride pattern continuously measured by an accelerometric gait recorder in middle distance runners. , 2006, The Journal of sports medicine and physical fitness.

[4]  G. Ng,et al.  Comparison between an accelerometer and a three-dimensional motion analysis system for the detection of movement. , 2012, Physiotherapy.

[5]  Jaap H van Dieën,et al.  Kinematic changes during running-induced fatigue and relations with core endurance in novice runners. , 2014, Journal of science and medicine in sport.

[6]  Kyoung-Joung Lee,et al.  The Concurrent Validity of the Body Center of Mass in Accelerometric Measurement , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Erik M. Bollt,et al.  High Resolution MEMS Accelerometers to Estimate VO2 and Compare Running Mechanics between Highly Trained Inter-Collegiate and Untrained Runners , 2009, PloS one.

[8]  Alan M. Batterham,et al.  Validity in clinical research: a review of basic concepts and definitions , 2003 .

[9]  David V. Thiel,et al.  An integrated swimming monitoring system for the biomechanical analysis of swimming strokes , 2011 .

[10]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[11]  Paul B Gastin,et al.  Validity of a trunk-mounted accelerometer to assess peak accelerations during walking, jogging and running , 2015, European journal of sport science.

[12]  Daniel Arthur James,et al.  Validation trial of an accelerometer‐based sensor platform for swimming , 2008 .

[13]  I. Davis,et al.  The effects of running in an exerted state on lower extremity kinematics and joint timing. , 2010, Journal of biomechanics.

[14]  B. Auvinet,et al.  Runner's stride analysis: comparison of kinematic and kinetic analyses under field conditions , 2002 .

[15]  Gerhard Tröster,et al.  Monitoring Kinematic Changes With Fatigue in Running Using Body-Worn Sensors , 2012, IEEE Transactions on Information Technology in Biomedicine.

[16]  J. Doust,et al.  A 1% treadmill grade most accurately reflects the energetic cost of outdoor running. , 1996, Journal of sports sciences.

[17]  Brad Aisbett,et al.  Validity of an upper-body-mounted accelerometer to measure peak vertical and resultant force during running and change-of-direction tasks , 2013, Sports biomechanics.

[18]  Christopher D Askew,et al.  Identifying symmetry in running gait using a single inertial sensor. , 2010, Journal of science and medicine in sport.

[19]  Daniel Arthur James,et al.  ADAT: A Matlab toolbox for handling time series athlete performance data , 2011 .

[20]  Brendan J Burkett,et al.  The use of a single inertial sensor to identify stride, step, and stance durations of running gait. , 2010, Journal of science and medicine in sport.