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Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis
Wearable inertial measurement units (IMUs) can be utilized as an alternative to optical motion capture as a method of measuring joint angles. These sensors require functional calibration prior to data collection, known as sensor-to-segment calibration. This study aims to evaluate previously describe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534374/ https://www.ncbi.nlm.nih.gov/pubmed/37766040 http://dx.doi.org/10.3390/s23187987 |
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author | Ekdahl, Mitchell Loewen, Alex Erdman, Ashley Sahin, Sarp Ulman, Sophia |
author_facet | Ekdahl, Mitchell Loewen, Alex Erdman, Ashley Sahin, Sarp Ulman, Sophia |
author_sort | Ekdahl, Mitchell |
collection | PubMed |
description | Wearable inertial measurement units (IMUs) can be utilized as an alternative to optical motion capture as a method of measuring joint angles. These sensors require functional calibration prior to data collection, known as sensor-to-segment calibration. This study aims to evaluate previously described sensor-to-segment calibration methods to measure joint angle range of motion (ROM) during highly dynamic sports-related movements. Seven calibration methods were selected to compare lower extremity ROM measured using IMUs to an optical motion capture system. The accuracy of ROM measurements for each calibration method varied across joints and sport-specific tasks, with absolute mean differences between IMU measurement and motion capture measurement ranging from <0.1° to 24.1°. Fewer significant differences were observed at the pelvis than at the hip, knee, or ankle across all tasks. For each task, one or more calibration movements demonstrated non-significant differences in ROM for at least nine out of the twelve ROM variables. These results suggest that IMUs may be a viable alternative to optical motion capture for sport-specific lower-extremity ROM measurement, although the sensor-to-segment calibration methods used should be selected based on the specific tasks and variables of interest for a given application. |
format | Online Article Text |
id | pubmed-10534374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105343742023-09-29 Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis Ekdahl, Mitchell Loewen, Alex Erdman, Ashley Sahin, Sarp Ulman, Sophia Sensors (Basel) Article Wearable inertial measurement units (IMUs) can be utilized as an alternative to optical motion capture as a method of measuring joint angles. These sensors require functional calibration prior to data collection, known as sensor-to-segment calibration. This study aims to evaluate previously described sensor-to-segment calibration methods to measure joint angle range of motion (ROM) during highly dynamic sports-related movements. Seven calibration methods were selected to compare lower extremity ROM measured using IMUs to an optical motion capture system. The accuracy of ROM measurements for each calibration method varied across joints and sport-specific tasks, with absolute mean differences between IMU measurement and motion capture measurement ranging from <0.1° to 24.1°. Fewer significant differences were observed at the pelvis than at the hip, knee, or ankle across all tasks. For each task, one or more calibration movements demonstrated non-significant differences in ROM for at least nine out of the twelve ROM variables. These results suggest that IMUs may be a viable alternative to optical motion capture for sport-specific lower-extremity ROM measurement, although the sensor-to-segment calibration methods used should be selected based on the specific tasks and variables of interest for a given application. MDPI 2023-09-20 /pmc/articles/PMC10534374/ /pubmed/37766040 http://dx.doi.org/10.3390/s23187987 Text en © 2023 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 | Article Ekdahl, Mitchell Loewen, Alex Erdman, Ashley Sahin, Sarp Ulman, Sophia Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title | Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title_full | Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title_fullStr | Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title_full_unstemmed | Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title_short | Inertial Measurement Unit Sensor-to-Segment Calibration Comparison for Sport-Specific Motion Analysis |
title_sort | inertial measurement unit sensor-to-segment calibration comparison for sport-specific motion analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534374/ https://www.ncbi.nlm.nih.gov/pubmed/37766040 http://dx.doi.org/10.3390/s23187987 |
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