K-means cluster output.

K-means cluster output.

<div><p>Firefighting operations in high-rise building fires require firefighters to navigate complex environments while undertaking physically demanding, heavy-load tasks, which often lead to severe fatigue, impairing their operational efficiency and decision-making. This study aims to d...

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Bibliographic Details
Main Author: Mingwei Xu (9548454) (author)
Other Authors: Shangxue Yang (21370261) (author), Ke Wang (82395) (author), Chengliu Yu (21370264) (author), Guanlin Liu (1437838) (author), Chao Dai (316953) (author), Ruiqi Wang (354713) (author)
Published: 2025
Subjects:
Medicine
Molecular Biology
Developmental Biology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
undertaking physically demanding
r &# 178
navigate complex environments
firefighter &# 8217
fire rescue missions
established using k
entropy weight analysis
bp neural network
6 &# 8211
24 %, demonstrating
10 features derived
subjective fatigue ratings
comprehensive fatigue index
reaction time data
enhancing operational effectiveness
tier fatigue classification
subjective fatigue levels
robust fatigue classification
level fatigue classification
heart rate variability
f ), enabling
dynamic fatigue prediction
high prediction accuracy
fatigue levels
heart rate
severe fatigue
fatigue states
reaction times
operational efficiency
prediction model
significant potential
scientific basis
rpe scale
often lead
metrics serving
means clustering
load tasks
key metrics
including electrocardiogram
findings highlight
approach provides
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