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Updated: Mar 2, 2026

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
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Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis
Hugo Gravel1, Daniel Curnier1, Nagib Dahdah2
1Department of Kinesiology, University of Montreal, Montréal, QC, Canada.
Summary
QT/RR hysteresis (QT-hys) quantifiers in ECGs are potential biomarkers, but a standard method is lacking. Model-based approaches offer the most versatile assessment of QT-hys and QT/RR dependency.
Area of Science:
- Cardiology
- Biomedical Engineering
- Physiology
Background:
- The human electrocardiogram (ECG) exhibits a delay in QT interval adaptation to heart rate changes, known as QT/RR hysteresis (QT-hys).
- Subject-specific QT-hys quantifiers are explored as potential biomarkers, yet a consensus on the optimal method is absent.
Purpose of the Study:
- To systematically review and categorize existing quantifiers of repolarization hysteresis from surface ECG in humans.
- To evaluate the strengths and limitations of different QT-hys measurement approaches.
Main Methods:
- A comprehensive literature search identified 60 original articles reporting QT-hys quantifiers.
- Quantifiers were categorized into four groups based on their measurement principles.
- A mathematical model of the QT/RR loop illustrated method differences.
Main Results:
- Category I methods directly measure QT adaptation but require strict RR interval control.
- Category IIa/IIb methods compare QT responses during heart rate acceleration/deceleration, useful for QT/RR loops but sensitive to protocol variations.
- Category III methods model dynamic QT/RR relationships to estimate memory parameters, with promising adaptive and differentiation approaches.
Conclusions:
- Model-based approaches for QT-hys assessment are highly versatile.
- These methods enable independent quantification of QT/RR dependency and QT-hys.
- Model-based approaches are applicable across diverse experimental settings.
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