Towards Dataset Agnostic ECG Signal Quality Assessments for Psychophysiological Analysis
Published in Journal of Psychophysiology, 2026
This work develops an adaptive ECG signal-quality assessment designed to transfer across psychophysiological datasets without extensive dataset-specific tuning or large manually annotated training sets. It evaluates signal quality under varied recording conditions and examines how artefacts can affect downstream heart-rate-variability features and emotion classification.
Recommended citation: Dair, Zachary; Dockray, Samantha; O'Reilly, Ruairi (2026). “Towards Dataset Agnostic ECG Signal Quality Assessments for Psychophysiological Analysis.” Journal of Psychophysiology, 40(1), 12–29. DOI: 10.1027/0269-8803/a000357.
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