Firefighter Helmets and Neck Muscle Fatigue

This study investigates how helmet properties—mass and center of mass (COM)—influence neck muscle fatigue to support the biomechanical design of firefighter helmets. Thirty-six firefighters (18 males, 18 females) performed sustained neck flexion and extension tasks under three conditions: no-helmet, US, and European-style (EU) helmets. Electromyography (EMG) data from eight neck muscles were collected. Fatigue was assessed using increases in normalized mean absolute value (NMAV) and decreases in median frequency (MF) of EMG signals. Signals were segmented into four intervals (0%–25%, 26%–50%, 51%–75%, 76%–100%), and regression analyses and ANOVA were applied to evaluate NMAV and MF values. Results showed that the US helmet led to greater muscle activation and fatigue. These findings highlight the importance of optimizing COM location—not just weight—when designing helmets to reduce neck injury risks.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-09-01
DOI
https://doi.org/10.1177/10711813251371651
Primary Topic
Occupational Health and Performance
Type
article
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article

Firefighter Helmets and Neck Muscle Fatigue

S. Chowdhury, Gustavo M. Paulon, Leonardo H. Wei
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Occupational Health and Performance
article

Firefighter Helmets and Neck Muscle Fatigue

S. Chowdhury, Gustavo M. Paulon, Leonardo H. Wei
article en

Abstract

This study investigates how helmet properties—mass and center of mass (COM)—influence neck muscle fatigue to support the biomechanical design of firefighter helmets. Thirty-six firefighters (18 males, 18 females) performed sustained neck flexion and extension tasks under three conditions: no-helmet, US, and European-style (EU) helmets. Electromyography (EMG) data from eight neck muscles were collected. Fatigue was assessed using increases in normalized mean absolute value (NMAV) and decreases in median frequency (MF) of EMG signals. Signals were segmented into four intervals (0%–25%, 26%–50%, 51%–75%, 76%–100%), and regression analyses and ANOVA were applied to evaluate NMAV and MF values. Results showed that the US helmet led to greater muscle activation and fatigue. These findings highlight the importance of optimizing COM location—not just weight—when designing helmets to reduce neck injury risks.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
Texas Tech University (US), University of Florida (US)
Openalex Percentile: Top 66%
Occupational Health and Performance
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Firefighter Helmets and Neck Muscle Fatigue — S. Chowdhury, Gustavo M. Paulon, et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2025) | TGRS Research Map | TGRS