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

Inertial measurement units (IMUs) have been used increasingly to characterize long-track speed skating. We aimed to estimate the accuracy of IMUs for use in phase identification of long-track speed skating. Twelve healthy competitive athletes on a university long-track speed skating team participate...

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Autores principales: Tomita, Yosuke, Iizuka, Tomoki, Irisawa, Koichi, Imura, Shigeyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197270/
https://www.ncbi.nlm.nih.gov/pubmed/34073881
http://dx.doi.org/10.3390/s21113649
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author Tomita, Yosuke
Iizuka, Tomoki
Irisawa, Koichi
Imura, Shigeyuki
author_facet Tomita, Yosuke
Iizuka, Tomoki
Irisawa, Koichi
Imura, Shigeyuki
author_sort Tomita, Yosuke
collection PubMed
description Inertial measurement units (IMUs) have been used increasingly to characterize long-track speed skating. We aimed to estimate the accuracy of IMUs for use in phase identification of long-track speed skating. Twelve healthy competitive athletes on a university long-track speed skating team participated in this study. Foot pressure, acceleration and knee joint angle were recorded during a 1000-m speed skating trial using the foot pressure system and IMUs. The foot contact and foot-off timing were identified using three methods (kinetic, acceleration and integrated detection) and the stance time was also calculated. Kinetic detection was used as the gold standard measure. Repeated analysis of variance, intra-class coefficients (ICCs) and Bland-Altman plots were used to estimate the extent of agreement between the detection methods. The stance time computed using the acceleration and integrated detection methods did not differ by more than 3.6% from the gold standard measure. The ICCs ranged between 0.657 and 0.927 for the acceleration detection method and 0.700 and 0.948 for the integrated detection method. The limits of agreement were between 90.1% and 96.1% for the average stance time. Phase identification using acceleration and integrated detection methods is valid for evaluating the kinematic characteristics during long-track speed skating.
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spelling pubmed-81972702021-06-13 Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors Tomita, Yosuke Iizuka, Tomoki Irisawa, Koichi Imura, Shigeyuki Sensors (Basel) Communication Inertial measurement units (IMUs) have been used increasingly to characterize long-track speed skating. We aimed to estimate the accuracy of IMUs for use in phase identification of long-track speed skating. Twelve healthy competitive athletes on a university long-track speed skating team participated in this study. Foot pressure, acceleration and knee joint angle were recorded during a 1000-m speed skating trial using the foot pressure system and IMUs. The foot contact and foot-off timing were identified using three methods (kinetic, acceleration and integrated detection) and the stance time was also calculated. Kinetic detection was used as the gold standard measure. Repeated analysis of variance, intra-class coefficients (ICCs) and Bland-Altman plots were used to estimate the extent of agreement between the detection methods. The stance time computed using the acceleration and integrated detection methods did not differ by more than 3.6% from the gold standard measure. The ICCs ranged between 0.657 and 0.927 for the acceleration detection method and 0.700 and 0.948 for the integrated detection method. The limits of agreement were between 90.1% and 96.1% for the average stance time. Phase identification using acceleration and integrated detection methods is valid for evaluating the kinematic characteristics during long-track speed skating. MDPI 2021-05-24 /pmc/articles/PMC8197270/ /pubmed/34073881 http://dx.doi.org/10.3390/s21113649 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Tomita, Yosuke
Iizuka, Tomoki
Irisawa, Koichi
Imura, Shigeyuki
Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title_full Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title_fullStr Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title_full_unstemmed Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title_short Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors
title_sort detection of movement events of long-track speed skating using wearable inertial sensors
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197270/
https://www.ncbi.nlm.nih.gov/pubmed/34073881
http://dx.doi.org/10.3390/s21113649
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