Characterization Of The Cardiac Response To Step Increases And Decreases In Exercise Intensity
Bibliographic record
Abstract
The dynamic cardiac output (CO) response at exercise onset and offset is achieved through an integrative system of feedforward and feedback mechanisms that are not fully understood. PURPOSE: Characterize the dynamic response of CO and its determinants, stroke volume (SV) and heart rate (HR), during increases and decreases in work rate to gain insight into the nature of cardiac control mechanisms in exercise. METHODS: Seven healthy male participants (20.9 ± 1.7 y) performed three upright cycling trials consisting of four work rate transitions determined by HR: rest to 90 bpm (R-90), 90 to 120 bpm (90-120), 120 to 90 bpm (120-90) and 90 bpm to rest (90-R). Finger photoplethysmography continuously recorded CO, SV and HR. 1-second interpolated trials were averaged. Exponential fits quantified gains, time delays (TD) and time constants (Tau). RESULTS: Data mean ± SD. R-90 vs 90-R: Gains were not different (P > 0.05). TD (s) for HR was shorter (-0.8 ± 1.1 vs 9.6 ± 8.4, P < 0.05) and Tau (s) for HR, SV and CO were faster (HR 5.5 ± 3.4 vs 31.0 ± 14.9, P < 0.05; SV 7.7 ± 5.8 vs 32.3 ± 19.7, P < 0.05; CO 5.5 ± 3.2 vs 29.4 ± 15.1, P < 0.05). 90-120 vs 120-90: Gains, TD and Tau were similar for HR, SV and CO (P > 0.05). 90-120 vs R-90: Gains for SV (ml) and CO (L/min) were smaller (SV 9.3 ± 6.1 vs 34.1 ± 4.7, P < 0.05; CO 3.5 ± 0.9 vs 5.1 ± 1.2, P < 0.05) and Tau for HR and CO were slower (HR 20.5 ± 11.2 vs 5.5 ± 3.4, P < 0.05; CO 29.4 ± 15.1 vs 22.5 ± 12.1, P < 0.05). CONCLUSION: At exercise onset, muscle contractions are thought to translocate blood centrally, increasing cardiac filling and therefore SV. Fast SV increase in R-90 is consistent with this. The slower SV decrease with removal of muscle contractions (90-R) supports elevated venous return as an additional key contributor to SV magnitude. Slower HR decline in 90-R vs increase in R-90 suggests slower cardiac chronotropic inactivation compared to activation at exercise onset. In contrast, within exercise-to-exercise transitions, the CO response is similar with increasing and decreasing exercise intensity suggesting the mechanisms driving cardiac output increase and decrease similarly. Finally, the slower HR response and smaller SV gain in 90-120 vs R-90 are consistent with slow-acting sympathetic activation and reduced ventricular filling reserve slowing cardiac output adjustment when the muscles are already contracting.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".