Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters

Bustos, D.; Cardoso, Ricardo; Carvalho, D.; Guedes, Joana; Vaz, Mário; Costa, José Torres; Baptista, J. Santos; Fernandes, Ricardo J.

doi:10.3390/s23115127

Cited by 3 publications

(1 citation statement)

References 61 publications

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“…The low-moderate, heavy, severe and extreme intensities were established as follows: (i) the steps under and at the anaerobic threshold; (ii) the step(s) above the anaerobic threshold; (iii) the step at which maximal VO 2 was reached; and (iv) the 1 min maximum exertion at the end of the protocol [20,26]. Intraabdominal core temperature was continuously retrieved from low-frequency radio waves transmitted from gastrointestinal capsules to an external logger (e-Viewer Performance monitor, BodyCAP, Hérouville-Saint-Clair, France) at 15 s intervals [27].…”

Section: Methodsmentioning

confidence: 99%

Physiological and Biomechanical Characteristics of Olympic and World-Class Rowers—Case Study

Cardoso,

Rios,

Cardoso

et al. 2024

Applied Sciences

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In this study, we quantified relevant biophysical characteristics of two elite rowers across a wide range of intensities. Two <40-year-old male and female Olympic and World Championship finalists performed a 7 × 3 min protocol plus 1 min maximal effort on a rowing ergometer. The intensity increase resulted in maximum values of 79.4 ± 2.4 and 69.7 ± 1.5 mL/min/kg for oxygen uptake, 179.3 ± 5.7 and 152.5 ± 2.9 L/min for ventilation, 170 ± 1 and 173 ± 0 bpm for heart rate, 10.6 and 15.8 mmol/L for blood lactate concentration, and 38.1 ± 0.03 and 38.8 ± 0.03 °C for core temperature for the male and female rowers. The percentage of power corresponding to a previously conducted maximum 2000 m rowing ergometer test and the work at each step increased from 49 to 127 and 42 to 103% and from 226.8 to 398.9 J and 174.0 to 250.0 J, from low to extreme intensities, for the male and female. Concurrently, there was a decrease in cycle length and propulsive time, followed by an increase in maximal handle drive velocity, with the rise in rowing intensity. These world-class rowers seem capable of maintaining physiological and technical profiles (and a remarkable capacity to generate substantial power) at this phase of their careers possibly due to long-term engagement in elite-level training. Biophysical data provide valuable referential information for guiding rowers to improve their performance.

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Section: Methodsmentioning

confidence: 99%

Physiological and Biomechanical Characteristics of Olympic and World-Class Rowers—Case Study

Cardoso,

Rios,

Cardoso

et al. 2024

Applied Sciences

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A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables

Yasar,

Sica,

O’Flynn

et al. 2024

Sci Data

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Wearable sensors have recently been extensively used in sports science, physical rehabilitation, and industry providing feedback on physical fatigue. Information obtained from wearable sensors can be analyzed by predictive analytics methods, such as machine learning algorithms, to determine fatigue during shoulder joint movements, which have complex biomechanics. The presented dataset aims to provide data collected via wearable sensors during a fatigue protocol involving dynamic shoulder internal rotation (IR) and external rotation (ER) movements. Thirty-four healthy subjects performed shoulder IR and ER movements with different percentages of maximal voluntary isometric contraction (MVIC) force until they reached the maximal exertion. The dataset includes demographic information, anthropometric measurements, MVIC force measurements, and digital data captured via surface electromyography, inertial measurement unit, and photoplethysmography, as well as self-reported assessments using the Borg rating scale of perceived exertion and the Karolinska sleepiness scale. This comprehensive dataset provides valuable insights into physical fatigue assessment, allowing the development of fatigue detection/prediction algorithms and the study of human biomechanical characteristics during shoulder movements within a fatigue protocol.

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Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters

Bustos

Cardoso

Carvalho

et al. 2023

Sensors

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Physical fatigue reduces productivity and quality of work while increasing the risk of injuries and accidents among safety-sensitive professionals. To prevent its adverse effects, researchers are developing automated assessment methods that, despite being highly accurate, require a comprehensive understanding of underlying mechanisms and variables’ contributions to determine their real-life applicability. This work aims to evaluate the performance variations of a previously developed four-level physical fatigue model when alternating its inputs to have a comprehensive view of the impact of each physiological variable on the model’s functioning. Data from heart rate, breathing rate, core temperature and personal characteristics from 24 firefighters during an incremental running protocol were used to develop the physical fatigue model based on an XGBoosted tree classifier. The model was trained 11 times with different input combinations resulting from alternating four groups of features. Performance measures from each case showed that heart rate is the most relevant signal for estimating physical fatigue. Breathing rate and core temperature enhanced the model when combined with heart rate but showed poor performance individually. Overall, this study highlights the advantage of using more than one physiological measure for improving physical fatigue modelling. The findings can contribute to variables and sensor selection in occupational applications and as the foundation for further field research.

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Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters

Cited by 3 publications

References 61 publications

Physiological and Biomechanical Characteristics of Olympic and World-Class Rowers—Case Study

Physiological and Biomechanical Characteristics of Olympic and World-Class Rowers—Case Study

A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables

Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters

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