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Electromyographic and Kinematic Exploration of Whiplash-Type Neck Perturbations in Left Lateral Collisions

2004· article· en· W1987108738 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
KeywordsWhiplashMedicineElectromyographyKinematicsPhysical medicine and rehabilitationSternocleidomastoid muscleTorsoCadaverBiomechanicsAnatomyPhysical therapyPoison control

Abstract

fetched live from OpenAlex

STUDY DESIGN: Seven healthy volunteers were subjected to left lateral impacts of 4.8, 7.9, 11, and 13.7 m/s acceleration at two levels of expectation: expected and unexpected. OBJECTIVES: The purpose of this study was to determine the response of the cervical muscles to increasing low-velocity left lateral impacts, and to compare the quantitative effects of expected and unexpected impact. SUMMARY OF BACKGROUND DATA: The literature contains little information on the etiology of whiplash injuries. Animal and cadaver studies have yielded some insight into the phenomenon. However, in vivo studies of the cervical muscular response and head-neck kinematics to lateral impacts are rare. METHODS: Bilateral electromyograms of the sternocleidomastoids, trapezii, and splenii capitis were recorded bilaterally. 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/s, the sternocleidomastoids and trapezii generated approximately <or=50% of their maximal voluntary contraction electromyogram in both the expected and unexpected impact conditions. Study participants exhibited lower levels of their maximal voluntary contraction electromyogram when the impact was expected. The splenius capitis behaved similar to these muscles in the expected condition, but when the impact was unexpected, the splenius capitis muscle contralateral to the impact (i.e., right splenius in a left lateral impact) generated 94% of its maximal voluntary contraction electromyogram. Electromyographic variables were significantly affected by the levels of acceleration and expectation (P < 0.001). The onset time and peak electromyogram time for the sternocleidomastoid, splenii capitis, and trapezii on the side contralateral to the side of impact progressively decreased with increasing levels of acceleration. The onset time and peak electromyogram time for the sternocleidomastoid, splenii, and trapezii on the same side of impact progressively increased with increasing levels of acceleration. The kinetic variables and the electromyographic variables regressed significantly on the acceleration (P < 0.01). In response to left lateral impacts, muscle responses were greater with higher levels of acceleration, greater with unexpected impact conditions, and greatest for the splenius capitis muscle contralateral to the side of impact. CONCLUSIONS: Because the muscular component of the head-neck complex 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. Expecting or being aware of imminent impact may play a role in reducing muscle responses in low-velocity impacts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.283
Teacher spread0.259 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations26
Published2004
Admission routes1
Has abstractyes

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