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Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster

Spine movement is a daily activity that can indicate health status changes, including low back pain (LBP) problems. Repetitious and continuous movement on the spine and incorrect postures during daily functional activities may lead to the potential development and persistence of LBP problems. Theref...

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Detalles Bibliográficos
Autores principales: Moon, Kee S., Gombatto, Sara P., Phan, Kim, Ozturk, Yusuf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823955/
https://www.ncbi.nlm.nih.gov/pubmed/36616780
http://dx.doi.org/10.3390/s23010182
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author Moon, Kee S.
Gombatto, Sara P.
Phan, Kim
Ozturk, Yusuf
author_facet Moon, Kee S.
Gombatto, Sara P.
Phan, Kim
Ozturk, Yusuf
author_sort Moon, Kee S.
collection PubMed
description Spine movement is a daily activity that can indicate health status changes, including low back pain (LBP) problems. Repetitious and continuous movement on the spine and incorrect postures during daily functional activities may lead to the potential development and persistence of LBP problems. Therefore, monitoring of posture and movement is essential when designing LBP interventions. Typically, LBP diagnosis is facilitated by monitoring upper body posture and movement impairments, particularly during functional activities using body motion sensors. This study presents a fully wireless multi-sensor cluster system to monitor spine movements. The study suggests an attempt to develop a new method to monitor the lumbopelvic movements of interest selectively. In addition, the research employs a custom-designed robotic lumbar spine simulator to generate the ideal lumbopelvic posture and movements for reference sensor data. The mechanical motion templates provide an automated sensor pattern recognition mechanism for diagnosing the LBP.
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spelling pubmed-98239552023-01-08 Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster Moon, Kee S. Gombatto, Sara P. Phan, Kim Ozturk, Yusuf Sensors (Basel) Article Spine movement is a daily activity that can indicate health status changes, including low back pain (LBP) problems. Repetitious and continuous movement on the spine and incorrect postures during daily functional activities may lead to the potential development and persistence of LBP problems. Therefore, monitoring of posture and movement is essential when designing LBP interventions. Typically, LBP diagnosis is facilitated by monitoring upper body posture and movement impairments, particularly during functional activities using body motion sensors. This study presents a fully wireless multi-sensor cluster system to monitor spine movements. The study suggests an attempt to develop a new method to monitor the lumbopelvic movements of interest selectively. In addition, the research employs a custom-designed robotic lumbar spine simulator to generate the ideal lumbopelvic posture and movements for reference sensor data. The mechanical motion templates provide an automated sensor pattern recognition mechanism for diagnosing the LBP. MDPI 2022-12-24 /pmc/articles/PMC9823955/ /pubmed/36616780 http://dx.doi.org/10.3390/s23010182 Text en © 2022 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
Moon, Kee S.
Gombatto, Sara P.
Phan, Kim
Ozturk, Yusuf
Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title_full Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title_fullStr Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title_full_unstemmed Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title_short Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster
title_sort extraction of lumbar spine motion using a 3-imu wearable cluster
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823955/
https://www.ncbi.nlm.nih.gov/pubmed/36616780
http://dx.doi.org/10.3390/s23010182
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