Article

EBAS-D: A Deep Learning Framework for High-Precision Stress Detection from ECG Morphology and Heart Rate Variability

2025-04-23

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Psychological stress contributes significantly to the global burden of mental health disorders, yet current diagnostic methods rely heavily on subjective reporting. Physiological biomarkers, particularly electrocardiogram (ECG) signals, offer promise for objective and scalable stress detection. <bold>Methods: </bold>We present EBAS-D (ECG-Based AI-enabled Stress...

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Literature Corpus work: 6532d6ba-d041-5c4d-bd9b-3bcac48a0f92
DOI: 10.21203/rs.3.rs-6497510/v1

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