Daniel Koska1, Jasmin Gaudel2, Tobias Hein3, Christian Maiwald4. 1. Department of Food and Nutrition, and Sports Science, University of Gothenburg, Sweden PO Box 300, SE405 30 Göteborg, Läroverksgatan 7, 411 20 Göteborg, Sweden; Institute of Human Movement Science and Health, Department of Research Methodology and Data Analysis, Technische Universität Chemnitz, Germany. Electronic address: daniel.koska@hsw.tu-chemnitz.de. 2. Institute of Human Movement Science and Health, Department of Research Methodology and Data Analysis, Technische Universität Chemnitz, Germany. Electronic address: Jasmin.Gaudel@hsw.tu-chemnitz.de. 3. Department of Food and Nutrition, and Sports Science, University of Gothenburg, Sweden PO Box 300, SE405 30 Göteborg, Läroverksgatan 7, 411 20 Göteborg, Sweden. Electronic address: Tobias.Hein@gu.se. 4. Department of Food and Nutrition, and Sports Science, University of Gothenburg, Sweden PO Box 300, SE405 30 Göteborg, Läroverksgatan 7, 411 20 Göteborg, Sweden; Institute of Human Movement Science and Health, Department of Research Methodology and Data Analysis, Technische Universität Chemnitz, Germany. Electronic address: christian.maiwald@hsw.tu-chemnitz.de.
Abstract
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.
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.
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
Authors: Marit A Zandbergen; Jasper Reenalda; Robbert P van Middelaar; Romano I Ferla; Jaap H Buurke; Peter H Veltink Journal: Sensors (Basel) Date: 2022-01-26 Impact factor: 3.576
Authors: José Manuel Plaza-Bravo; Manuel Mateo-March; Roberto Sanchis-Sanchis; Pedro Pérez-Soriano; Mikel Zabala; Alberto Encarnación-Martínez Journal: Int J Environ Res Public Health Date: 2022-07-08 Impact factor: 4.614