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Skeletal Muscle EMG Changes during Whole Body Vibration

2007· article· en· W1986356321 on OpenAlexaff
Tom J. Hazell, Jennifer M. Jakobi, Kenji A. Kenno

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2007
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBicepsSquatWhole body vibrationSquatting positionElectromyographyMedicinePhysical medicine and rehabilitationStatic stretchingCoactivationElbowPhysical therapyAnatomyVibrationRange of motionPhysicsAcoustics

Abstract

fetched live from OpenAlex

Whole body vibration (WB V) training utilizes a vertically vibrating platform to generate reflexive muscular contractions. WBV training has been shown to improve static and dynamic leg strength but there are few data on the effect of WBV on upper and lower body muscle activity. The optimal frequency and amplitude for WBV has yet to be elucidated. PURPOSE: To examine the influence of WBV on muscle activity in lower and upper body agonist/antagonist muscle pairs during static and dynamic contractions. METHODS: Surface electromyography (EMG) was measured for the vastus lateralis (VL), biceps femoris (BF), biceps brachii (BB), and triceps brachii (TB) in 10 recreationally active male university students (24.4±2.0 years; mean±SD) during 2 testing sessions. In session 1, static semi-squat (knee angle 120°) and dynamic squats with no vibration and at WBV frequencies of 25, 30, 35, 40, 45 Hz at both 2 and 4 mm amplitude were tested. For session 2, static (elbow at 90°) and dynamic biceps curls were performed using the same conditions. EMG changes are based on the difference between WBV and no WBV EMGrms (root mean square) values, expressed as % of Maximum Voluntary Exertion (%MVE). RESULTS: Without WBV, static semi-squat muscle activity was 34.5% in the VL and 1.5% in the BF, with WBV at 35-45Hz with 2 or 4 mm amplitude eliciting increases (p<.05) of 2.9-6.7% in the VL and 0.8-1.2% in the BF. Dynamic squatting raised VL activity to 52.5% with all WBV conditions increasing (p<.05) VL activity ∼6.7%. Dynamic squatting also raised (p<.05) BF activity to 4.5% with WBV at 35–45 Hz with 2 or 4 mm increasing (p<0.05) BF activity 1-2%. Static BB activity was 2.5% and TB was 0.8% with WBV having no effect on the BB but all WBV conditions increasing (p<0.05) TB activity 0.3-0.7%. Dynamic biceps curls raised BB activity to 4.3% and TB to 3.6% where WBV at 25Hz 2mm, 30Hz 2/4mm and 45Hz 4mm increased (p<.05) BB activity 0.6-0.8%. In the TB, all WBV stimuli except 35Hz 2mm increased (p<.05) activity 0.2-1%. CONCLUSION: WBV resulted in statistically significant increases in static and dynamic upper and lower body muscle activity. Whether these EMG increases translate into functional increases is unknown. It is recommended that WBV training include dynamic activities with a stimulus of 35–45 Hz with 4 mm amplitude to elicit the greatest increase in muscle activity.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.315
Teacher spread0.301 · 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".

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Citations2
Published2007
Admission routes1
Has abstractyes

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