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Dual Contrastive Learning for Self-Supervised ECG Mapping to Emotions and Glucose Levels | IEEE Conference Publication | IEEE Xplore

Dual Contrastive Learning for Self-Supervised ECG Mapping to Emotions and Glucose Levels


Abstract:

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-...Show More

Abstract:

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.
Published in: 2023 IEEE SENSORS
Date of Conference: 29 October 2023 - 01 November 2023
Date Added to IEEE Xplore: 28 November 2023
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Conference Location: Vienna, Austria

References

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