All Studies · Mechanism (cross-domain) · Nasrolahzadeh (2023)

Nasrolahzadeh (2023)

Low · Mechanism/Methods Study · Mechanism (Neuroimaging/Biomarker)
Quality Index (Adjusted QI) 0.588
0 Low < 0.56 Moderate 0.56–0.77 High ≥ 0.78 1
Study Details
ConditionHRV analysis during Chi meditation and KY using visibility graph method
Clinical domainMechanism (cross-domain)
PopulationN/A - Methodology paper (varies)
Sample size—
Country / SettingIran - Hakim Sabzevari University & Shahrood University of Technology
Protocol clusterGeneral/Varied KY
DurationN/A — Secondary data analysis of existing HR time series (no new intervention)
Control typeOther/Mixed
ComparatorN/A - Methods/Methodology
Outcomes & Effect Sizes
Primary outcomeMethodology/ML analytics
Scales usedAI algorithms; prediction modeling
Key resultAI/ML framework for yoga research analytics developed
Effect sizeMethodology: AI framework for yoga research predictive analytics
RetentionN/A - methodology paper
SafetyN/A - computational methods
View PDF
Methodological Summary

Methodology paper; AI application; not empirical trial

KY Protocol Components

Heart Rate Variability Analysis During Kundalini Yoga Meditation: Secondary Analysis DESIGN: Secondary data analysis study using visibility graph (VG) method on existing heart rate time series. DATA SOURCE: Analyzed publicly available heart rate data from Chi meditation and Kundalini Yoga meditation practitioners (from Peng et al. 1999/2004 PhysioNet database). ANALYSIS METHOD: • Visibility graph analysis of heart rate time series • Power of Scale-Freeness (PS) and Graph Index Complexity (GIC) as quantitative measures • Differentiated rest vs. meditation states in both Chi and KY techniques • Machine learning classification (SVM, k-NN) KY MEDITATION TECHNIQUE ANALYZED: Same as Peng 1999 — Kundalini Yoga meditation as taught by Yogi Bhajan (slow breathing meditation producing prominent heart rate oscillations). NOTE: This is NOT an original KY intervention study. It is a computational/engineering analysis applying novel mathematical methods (visibility graphs, fractal analysis) to previously collected heart rate data. Published in Healthcare Analytics as a data science/engineering paper.

Quality Item Scores — 1 fail · 2 partial · 3 pass · ★ critical
★A1
2
A2
2
★B2
2
B3
3
B4
1
★B5
1
B6
2
★B7
2
★B8
1
B9
2
JP1
3
Critical fails2
Raw QI0.636
SAF0.925
Adjusted QI0.588
Final ratingLow