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Record W2161117546 · doi:10.1109/51.982280

Assessing fatigue with electromyographic spike parameters

2001· article· en· W2161117546 on OpenAlexaff
David A. Gabriel, Jeffrey R. Basford, Kai‐Nan An

Bibliographic record

VenueIEEE Engineering in Medicine and Biology Magazine · 2001
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsBrock University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthLehigh UniversityMayo Foundation for Medical Education and ResearchMayo Clinic
KeywordsSpike (software development)ElectromyographySpectral analysisComputer scienceEquivalence (formal languages)Signal processingSIGNAL (programming language)Constant (computer programming)Pattern recognition (psychology)NeurophysiologySpeech recognitionArtificial intelligenceMathematicsPhysical medicine and rehabilitationMedicineNeurosciencePhysicsPsychologyTelecommunications

Abstract

fetched live from OpenAlex

This study demonstrated a high degree of equivalence between SEMG spike parameters and traditional time and frequency measures. The findings described in this article are important for patients who are unable to maintain constant-force contractions. The SEMG signal is stationary for constant-force contractions which is a necessary condition that must be met before applying spectral analysis techniques. However, before SEMG spike analysis can be advanced to regular clinical use, its limitations must be further understood.

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 score0.566
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.039
GPT teacher head0.278
Teacher spread0.239 · 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

Citations17
Published2001
Admission routes1
Has abstractyes

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Same venueIEEE Engineering in Medicine and Biology MagazineSame topicMuscle activation and electromyography studiesFrench-language works237,207