TY - GEN
T1 - Dual Contrastive Learning for Self-Supervised ECG Mapping to Emotions and Glucose Levels
AU - Lalzary, Noy
AU - Wolf, Lior
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We learn to map the ECG signal to emotional or physical states using a 1D-CNN followed by a Transformer. To overcome the limited number of samples, we propose a new self-supervised learning scheme that combines latent space masking with both a temporal prediction task and a matching task, both learned via a contrastive loss. Our method outperforms the existing self-supervised approaches for ECG by a wide margin.
AB - We learn to map the ECG signal to emotional or physical states using a 1D-CNN followed by a Transformer. To overcome the limited number of samples, we propose a new self-supervised learning scheme that combines latent space masking with both a temporal prediction task and a matching task, both learned via a contrastive loss. Our method outperforms the existing self-supervised approaches for ECG by a wide margin.
KW - ECG
KW - Self-Supervised Learning
KW - Transformers
UR - http://www.scopus.com/inward/record.url?scp=85179757557&partnerID=8YFLogxK
U2 - 10.1109/SENSORS56945.2023.10325116
DO - 10.1109/SENSORS56945.2023.10325116
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AN - SCOPUS:85179757557
T3 - Proceedings of IEEE Sensors
BT - 2023 IEEE SENSORS, SENSORS 2023 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE SENSORS, SENSORS 2023
Y2 - 29 October 2023 through 1 November 2023
ER -