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On-Field Deployment and Validation for Wearable Devices
Wearable sensors are an important tool in the study of head acceleration events and head impact injuries in sporting and military activities. Recent advances in sensor technology have improved our understanding of head kinematics during on-field activities; however, proper utilization and interpreta...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652208/ https://www.ncbi.nlm.nih.gov/pubmed/35960418 http://dx.doi.org/10.1007/s10439-022-03001-3 |
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author | Kuo, Calvin Patton, Declan Rooks, Tyler Tierney, Gregory McIntosh, Andrew Lynall, Robert Esquivel, Amanda Daniel, Ray Kaminski, Thomas Mihalik, Jason Dau, Nate Urban, Jillian |
author_facet | Kuo, Calvin Patton, Declan Rooks, Tyler Tierney, Gregory McIntosh, Andrew Lynall, Robert Esquivel, Amanda Daniel, Ray Kaminski, Thomas Mihalik, Jason Dau, Nate Urban, Jillian |
author_sort | Kuo, Calvin |
collection | PubMed |
description | Wearable sensors are an important tool in the study of head acceleration events and head impact injuries in sporting and military activities. Recent advances in sensor technology have improved our understanding of head kinematics during on-field activities; however, proper utilization and interpretation of data from wearable devices requires careful implementation of best practices. The objective of this paper is to summarize minimum requirements and best practices for on-field deployment of wearable devices for the measurement of head acceleration events in vivo to ensure data evaluated are representative of real events and limitations are accurately defined. Best practices covered in this document include the definition of a verified head acceleration event, data windowing, video verification, advanced post-processing techniques, and on-field logistics, as determined through review of the literature and expert opinion. Careful use of best practices, with accurate acknowledgement of limitations, will allow research teams to ensure data evaluated is representative of real events, will improve the robustness of head acceleration event exposure studies, and generally improve the quality and validity of research into head impact injuries. |
format | Online Article Text |
id | pubmed-9652208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96522082022-11-15 On-Field Deployment and Validation for Wearable Devices Kuo, Calvin Patton, Declan Rooks, Tyler Tierney, Gregory McIntosh, Andrew Lynall, Robert Esquivel, Amanda Daniel, Ray Kaminski, Thomas Mihalik, Jason Dau, Nate Urban, Jillian Ann Biomed Eng Concussions Wearable sensors are an important tool in the study of head acceleration events and head impact injuries in sporting and military activities. Recent advances in sensor technology have improved our understanding of head kinematics during on-field activities; however, proper utilization and interpretation of data from wearable devices requires careful implementation of best practices. The objective of this paper is to summarize minimum requirements and best practices for on-field deployment of wearable devices for the measurement of head acceleration events in vivo to ensure data evaluated are representative of real events and limitations are accurately defined. Best practices covered in this document include the definition of a verified head acceleration event, data windowing, video verification, advanced post-processing techniques, and on-field logistics, as determined through review of the literature and expert opinion. Careful use of best practices, with accurate acknowledgement of limitations, will allow research teams to ensure data evaluated is representative of real events, will improve the robustness of head acceleration event exposure studies, and generally improve the quality and validity of research into head impact injuries. Springer International Publishing 2022-08-12 2022 /pmc/articles/PMC9652208/ /pubmed/35960418 http://dx.doi.org/10.1007/s10439-022-03001-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Concussions Kuo, Calvin Patton, Declan Rooks, Tyler Tierney, Gregory McIntosh, Andrew Lynall, Robert Esquivel, Amanda Daniel, Ray Kaminski, Thomas Mihalik, Jason Dau, Nate Urban, Jillian On-Field Deployment and Validation for Wearable Devices |
title | On-Field Deployment and Validation for Wearable Devices |
title_full | On-Field Deployment and Validation for Wearable Devices |
title_fullStr | On-Field Deployment and Validation for Wearable Devices |
title_full_unstemmed | On-Field Deployment and Validation for Wearable Devices |
title_short | On-Field Deployment and Validation for Wearable Devices |
title_sort | on-field deployment and validation for wearable devices |
topic | Concussions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652208/ https://www.ncbi.nlm.nih.gov/pubmed/35960418 http://dx.doi.org/10.1007/s10439-022-03001-3 |
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