Background: The popular protocol used to study running motion suffers from problems that lead to a limited ability to generalize the obtained results. Inertial measurement units (IMU) appear to be promising in increasing ecological validity of the collected data. However, quantifying running kinematics utilizing IMU signals is complex and potentially affected by several well-established and less well-known errors.
Research Question: The purpose of this study was to examine the validity of kinematic variables obtained from a single, shoe-mounted IMU using an opto-electronic motion analysis reference system.
Methods: 51 recreational runners were analyzed, performing a single continuous run at three different speeds (10, 12, 15 km/h) on a treadmill. Descriptive statistics (Bland & Altman analysis, box plots, scatter plots) were employed to analyze the agreement between the two instruments.
Results: The findings of this study revealed considerable systematic and large random disagreement, which, in turn, is characterized by substantial inter-individual differences in the error distribution. These discrepancies may partly be explained by differences in foot strike behavior, resulting in varying degrees of vibration impact acting on the IMU.
Significance: Advances in IMU technology, as well as exploring new application approaches and signal processing strategies, might enhance the usability of IMUs in analyzing running kinematics.
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http://dx.doi.org/10.1016/j.gaitpost.2018.06.007 | DOI Listing |
Med Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
View Article and Find Full Text PDFArtif Intell Med
December 2024
Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Guillermo Massieu 239, 07320 Mexico City, Mexico.
Patients with Parkinson's disease (PD) in the moderate and severe stages can present several walk alterations. They can show slow movements and difficulty initiating, varying, or interrupting their gait; freezing; short steps; speed changes; shuffling; little arm swing; and festinating gait. The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD.
View Article and Find Full Text PDFClin Biomech (Bristol)
December 2024
Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, USA. Electronic address:
Background: Varus thrust is common in those with knee osteoarthritis. Varus thrust is traditionally identified with visual analysis or motion capture, methods that are either dichotomous or limited to the laboratory setting. Inertial measurement unit data has been found to correlate with motion capture measures of varus thrust in those with severe knee osteoarthritis, allowing for a quantitative and accessible way of measuring varus thrust.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, 16846-13114, Iran.
In today's technologically advanced landscape, precision in navigation and positioning holds paramount importance across various applications, from robotics to autonomous vehicles. A common predicament in location-based systems is the reliance on Global Positioning System (GPS) signals, which may exhibit diminished accuracy and reliability under certain conditions. Moreover, when integrated with the Inertial Navigation System (INS), the GPS/INS system could not provide a long-term solution for outage problems due to its accumulated errors.
View Article and Find Full Text PDFSports (Basel)
December 2024
Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA 22030, USA.
External (EL) and internal (IL) load are commonly used methods used to quantify training load in team sports. Playing time and playing position may influence the training loads for specific athletes throughout a season. The purpose of the current study was to evaluate the effect of athlete playing status and individual in-season practices on EL and IL across a collegiate women's basketball season.
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