Evidence map›Paper›PMID 42307845›Full record

ArticleAnnals of biomedical engineering2026

Predicting cervical muscle forces in fighter pilots: a comparison of shear wave elastography and PID controllers using finite element analysis.

Mackenzie Hoey, Constantin Heinemann, Alex Vadati, Zachary J Domire

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Mackenzie HoeyDepartment of Kinesiology, College of Health and Human Performance, East Carolina University, 1 Ficklen Drive, Greenville, NC, 27858, USA.
Constantin HeinemannDepartment of Kinesiology, College of Health and Human Performance, East Carolina University, 1 Ficklen Drive, Greenville, NC, 27858, USA.
Alex VadatiDepartment of Engineering, East Carolina University, Greenville, North Carolina, USA.
Zachary J DomireDepartment of Kinesiology, College of Health and Human Performance, East Carolina University, 1 Ficklen Drive, Greenville, NC, 27858, USA. domirez@ecu.edu.ORCID http://orcid.org/0000-0003-4590-4583

Funding

Office of Naval Research N000142112649
6 · The paper itself

Abstract

purposeHelmet loads have been identified as a source of neck pain in fighter pilots. To minimize risk for neck pain, the effect of helmets on cervical spine biomechanics must be understood. In-vivo methods are difficult and invasive, so finite element modeling (FEM) techniques have been utilized recently to understand neck pathology development. Accurate muscle forces are crucial for physiologically relevant results. Therefore, this study evaluated the relationship between helmet loads and cervical muscle forces using two FEM muscle activation strategies.

methodsA validated cervical spine model was altered to include a fighter pilot's helmet load and muscle activations. The following simulations were analyzed: a no-helmet (NH) and helmet (H) conditions using both proportional-integral-derivative (PID) and shear wave elastography (SWE) techniques to estimate muscle forces to stabilize the head in a neutral position. Intervertebral disc (IVD) forces and pressures were reported to validate the muscle forces.

resultsPID and SWE methods produced different muscle activation patterns, with PID recruiting larger muscles first. SWE muscle forces were more closely aligned with EMG data, displaying larger activations in the deep stabilizer muscles. NH model loads suggest that both PID and SWE will produce physiological loads on structures in the spine.

conclusionThe use of SWE allows for more subject- and muscle-specificity in FEM, and the results are more consistent with in-vivo data. With the implementation of SWE-informed FEMs, pain mechanisms may be more accurately predicted which can lead to production of more optimal helmet designs, injury prevention protocols, and individualized rehabilitation strategies.

Indexed as

Cervical spineFinite element analysisPID controllerShear wave elastography

Identifiers

PMID42307845

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