Contrastive Self-Supervised Learning for Stress Detection from ECG Data

In recent literature, ECG-based stress assessment has become popular due to its proven correlation to stress and increased accessibility of ECG data through commodity hardware. However, most ECG-based stress assessment models use supervised learning, relying on manually-annotated data. Limited resea...

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Bibliographic Details
Main Authors: Suha Rabbani, Naimul Khan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Bioengineering
Subjects:
Online Access:https://www.mdpi.com/2306-5354/9/8/374