Ma · IEEE journal of translational engineering in health and medicine 2024 · Within-subject repeated measures experimental study · n=30

Benefits From Different Modes of Slow and Deep Breathing on Vagal Modulation.

Level 3 - non-randomized controlled study

Within-subject experimental physiological study without reported randomization

PubMed 39050620 · doi:10.1109/JTEHM.2024.3419805 · record verified 2026-08-26

What was done

Thirty healthy adults (mean age 26.5 years, 17 females) completed three slow and deep breathing (SDB) protocols: 6 breaths per minute (bpm) with a 1:1 inspiration-to-expiration (I:E) ratio, 6 bpm with a 1:2 I:E ratio, and an intelligent guidance mode (1:2 I:E ratio with guidance gradually reducing breathing rate to 6 bpm). Autonomic responses were evaluated using heart rate variability (HRV), multimodal coupling analysis (MMCA), Poincaré plots, and detrended fluctuation analysis. Machine learning models were evaluated using selected features to classify spontaneous breathing versus SDB.

What was found

All vagal activity markers, particularly MMCA-derived respiratory sinus arrhythmia (RSA), significantly increased during SDB. Breathing at 6 bpm with a 1:1 I:E ratio produced the greatest statistical increase in vagal markers during the active training period. The intelligent guidance mode showed the greatest number of persistently elevated indicators post-training (including SDRR and MMCA-derived RSA). For classification of breathing patterns against spontaneous breathing, a Naive Bayes classifier achieved 92.2% accuracy using seven selected HRV and autonomic features. Precise effect sizes, baseline values, and p-values were not reported in the abstract.

Why it matters

The findings differentiate how pacing structure and I:E ratios alter immediate versus sustained vagal tone, supporting the use of tailored biofeedback algorithms and machine learning classification in automated breathing-guidance devices.

Limits

The study had a small sample size (n = 30) limited to young, healthy participants, restricting generalizability to clinical populations with autonomic dysfunction. The abstract does not report exact numerical effect sizes, variance, confidence intervals, or whether the order of breathing modes was randomized or counterbalanced. Long-term retention beyond the immediate post-training period was not assessed.