Effects of Caffeinated Beverage Consumption on Electrocardiographic Parameters among Healthy Adults
Bibliographic record
Abstract
The aim of this study is to investigate the effects of caffeinated beverage consumption on electrocardiographic parameters with several healthy young persons. Electrocardiogram (ECG) recordings have been performed with electrode lead set connected to MP36 data acquisition unit (Biopac, USA). Recordings of ECG as well as their analysis have been done using Biopac softwares at both before and after the consumption of caffeinated beverage available in Bangladesh. After having caffeinated beverage, the ECG parameters such as peak amplitude of different waves and their corresponding intervals of ECG signal have changed significantly. The peak amplitude of Q and S waves has not changed so significantly but P and T waves showed maximum decrement about 6% and 23% respectively. Besides, maximum increment in R peak of ECG is about 11% which may cause short term boost. Among different intervals of ECG, change in RR interval is more significant. RR interval increases from about 0.85 to 0.89 sec which is mainly liable to decrease heart rate from about 71 to 67 bpm due to the consumption of caffeinated beverage. The findings highlight insufficient increment in R peak amplitude but net decrement in peak amplitude of P and T waves as well as heart rate which may cause cardiac abnormality due to the regular consumption of caffeinated beverage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".