Works (3)

Updated: April 5th, 2024 11:07

2023 review

Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization

[Review of ]. SENSORS, 23(11).

By: M. Breen n, T. Reed, Y. Nishitani*, M. Jones, H. Breen & M. Breen n

author keywords: wearable sensors; non-invasive sensors; biomonitoring; cardiac sensors; breathing sensors; physical sensors; external and embedded sensors; rock climbing; sport climbing; bouldering; speed climbing; outdoor climbing
MeSH headings : Sports; Mountaineering / physiology; Muscle, Skeletal / physiology; Data Collection; Wearable Electronic Devices
TL;DR: An overview and critical analysis of the scientific literature on sensors used during climbing is presented and several highlighted sensors with the ability to provide continuous measurements during climbing are focused on. (via Semantic Scholar)
Source: Web Of Science
Added: June 26, 2023

2022 journal article

Integrating Wearable Sensors and Video to Determine Microlocation-Specific Physiologic and Motion Biometrics-Method Development for Competitive Climbing

SENSORS, 22(16).

By: M. Breen n, T. Reed, H. Breen, C. Osborne* & M. Breen n

author keywords: physiologic monitoring; video analysis; heart rate; breathing rate; minute ventilation; physical activity; rock climbing; indoor climbing
MeSH headings : Adolescent; Biometry; Humans; Movement / physiology; Posture; Sports / physiology; Wearable Electronic Devices
TL;DR: The ability of MLBS to determine multiple time-resolved biometrics at different MLs, in support of developing and assessing different climbing strategies and training methods to help improve performance is demonstrated. (via Semantic Scholar)
Source: Web Of Science
Added: September 6, 2022

2022 article

Microenvironment Tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation using smartphone data

Breen, M. S. S., Xu, Y., Frey, H. C., Breen, M., & Isakov, V. (2022, December 16). JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, Vol. 12.

author keywords: Smartphone; GPS; Microenvironment; exposure assessment; Air pollution
MeSH headings : Humans; Smartphone; Air Pollution / analysis; Air Pollutants / analysis; Time; Environmental Pollutants; Environmental Exposure / analysis; Environmental Monitoring / methods
TL;DR: This study demonstrates the extended capability of using ubiquitous smartphone data with MicroTrac to help reduce time-location uncertainty in air pollution exposure models for epidemiologic and exposure field studies. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 9, 2023

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.