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Record W2067635611 · doi:10.1177/154193120605001707

Back Extensor Muscle Oxygenation and Blood Volume Comparisons during Two Endurance Exercise Modes

2006· article· en· W2067635611 on OpenAlexaff
Rammohan V. Maikala, Yagesh Bhambhani

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2006
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOxygenationBlood volumeMedicineBlood flowHemodynamicsBlood oxygenationCardiologyLumbarAnesthesiaPhysical medicine and rehabilitationInternal medicineAnatomy

Abstract

fetched live from OpenAlex

Since the current near-infrared spectroscopy devices do not measure absolute muscle saturation, normalization of hemodynamic measurements by occluding blood flow to muscles is considered acceptable. However, physiological reference for the paraspinal muscles is difficult with occlusion techniques. This study compared muscle oxygenation and blood volume responses in healthy men and women during: static back muscle endurance test (SBME) and stepwise incremental repetitive pushing-pulling exercise (PP). On two separate days, subjects completed SBME and PP until volitional exhaustion. Both oxygenation and blood volume values were obtained from the right erector spinae muscle. At volitional exhaustion, PP resulted in greater deoxygenation than during SBME (P<0.05). However, physiological change observed (calculated as the difference between the maximum and minimum values for oxygenation and blood volume) was not significantly different between exercise modes in both genders, suggesting either endurance exercise modes can be used interchangeably to establish physiological limits for the lumbar muscle.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueProceedings of the Human Factors and Ergonomics Society Annual MeetingSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207