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Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization
Rock climbing has evolved from a method for alpine mountaineering into a popular recreational activity and competitive sport. Advances in safety equipment and the rapid growth of indoor climbing facilities has enabled climbers to focus on the physical and technical movements needed to elevate perfor...
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/PMC10255440/ https://www.ncbi.nlm.nih.gov/pubmed/37299807 http://dx.doi.org/10.3390/s23115080 |
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author | Breen, Miyuki Reed, Taylor Nishitani, Yoshiko Jones, Matthew Breen, Hannah M. Breen, Michael S. |
author_facet | Breen, Miyuki Reed, Taylor Nishitani, Yoshiko Jones, Matthew Breen, Hannah M. Breen, Michael S. |
author_sort | Breen, Miyuki |
collection | PubMed |
description | Rock climbing has evolved from a method for alpine mountaineering into a popular recreational activity and competitive sport. Advances in safety equipment and the rapid growth of indoor climbing facilities has enabled climbers to focus on the physical and technical movements needed to elevate performance. Through improved training methods, climbers can now achieve ascents of extreme difficulty. A critical aspect to further improve performance is the ability to continuously measure body movement and physiologic responses while ascending the climbing wall. However, traditional measurement devices (e.g., dynamometer) limit data collection during climbing. Advances in wearable and non-invasive sensor technologies have enabled new applications for climbing. This paper presents an overview and critical analysis of the scientific literature on sensors used during climbing. We focus on the several highlighted sensors with the ability to provide continuous measurements during climbing. These selected sensors consist of five main types (body movement, respiration, heart activity, eye gazing, skeletal muscle characterization) that demonstrate their capabilities and potential climbing applications. This review will facilitate the selection of these types of sensors in support of climbing training and strategies. |
format | Online Article Text |
id | pubmed-10255440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102554402023-06-10 Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization Breen, Miyuki Reed, Taylor Nishitani, Yoshiko Jones, Matthew Breen, Hannah M. Breen, Michael S. Sensors (Basel) Review Rock climbing has evolved from a method for alpine mountaineering into a popular recreational activity and competitive sport. Advances in safety equipment and the rapid growth of indoor climbing facilities has enabled climbers to focus on the physical and technical movements needed to elevate performance. Through improved training methods, climbers can now achieve ascents of extreme difficulty. A critical aspect to further improve performance is the ability to continuously measure body movement and physiologic responses while ascending the climbing wall. However, traditional measurement devices (e.g., dynamometer) limit data collection during climbing. Advances in wearable and non-invasive sensor technologies have enabled new applications for climbing. This paper presents an overview and critical analysis of the scientific literature on sensors used during climbing. We focus on the several highlighted sensors with the ability to provide continuous measurements during climbing. These selected sensors consist of five main types (body movement, respiration, heart activity, eye gazing, skeletal muscle characterization) that demonstrate their capabilities and potential climbing applications. This review will facilitate the selection of these types of sensors in support of climbing training and strategies. MDPI 2023-05-25 /pmc/articles/PMC10255440/ /pubmed/37299807 http://dx.doi.org/10.3390/s23115080 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 | Review Breen, Miyuki Reed, Taylor Nishitani, Yoshiko Jones, Matthew Breen, Hannah M. Breen, Michael S. Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title | Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title_full | Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title_fullStr | Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title_full_unstemmed | Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title_short | Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization |
title_sort | wearable and non-invasive sensors for rock climbing applications: science-based training and performance optimization |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255440/ https://www.ncbi.nlm.nih.gov/pubmed/37299807 http://dx.doi.org/10.3390/s23115080 |
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