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Cervical Muscle Response to Whiplash-Type Right Lateral Impacts

2004· article· en· W2009283266 on OpenAlexaff
Shrawan Kumar, Robert Ferrari, Yogesh Narayan

Bibliographic record

VenueSpine · 2004
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineWhiplashCervical spineAnatomyPhysical medicine and rehabilitationSurgeryPoison controlMedical emergency

Abstract

fetched live from OpenAlex

STUDY DESIGN: Nine healthy volunteers were subjected to right lateral impacts of 4.9, 8.8, 10.8, and 13.7 m/sec acceleration at two levels of expectation: expected and unexpected. OBJECTIVES: To determine the response of the cervical muscles to increasing low-velocity right lateral impacts and compare the quantitative effects of expected and unexpected impact. SUMMARY OF BACKGROUND DATA: The literature contains little information on the etiology of whiplash injuries. In particular, in vivo studies of the cervical muscular response and head-neck kinematics to lateral impacts are rare. A previous study of left lateral impacts suggests that the burden of impact is borne primarily by the muscles contralateral to the side of impact. METHODS: Bilateral electromyograms of the sternocleidomastoids, trapezii, and splenii capitis were recorded. Triaxial accelerometers recorded the acceleration of the chair, torso at the shoulder level, and head of the participant. RESULTS: At an acceleration of 13.7 m/sec2, both sternocleidomastoids, both trapezii, and the right splenius capitis generated on average around 40% or less of their maximal voluntary contraction electromyogram in both the expected and unexpected impact conditions. The left splenius capitis (i.e., contralateral to the right lateral impact), however, generated 84% of its maximal voluntary contraction electromyogram (double the response of other muscles). Electromyographic variables were affected significantly by the levels of acceleration (P < 0.01). The time to onset and time to peak electromyogram time for all muscles decreased progressively with increasing levels of acceleration. The kinetic variables and the electromyographic variables regressed significantly on the acceleration (P < 0.01), and the head acceleration was affected significantly by expectation (P < 0.01). In response to right lateral impacts, muscle responses were generally greater, with higher levels of acceleration, and greatest for the splenius capitis muscle contralateral to the side of impact (P < 0.01). CONCLUSIONS: Because the muscular component of the head-neck complex likely plays a central role in the abatement of higher acceleration levels, it may be a primary site of injury in the whiplash phenomenon in lateral collisions, and specifically, the splenius capitis muscle contralateral to the side of impact is most likely to be injured. Being aware of an impact may reduce the degree of head perturbation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.298
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2004
Admission routes1
Has abstractyes

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