Search Results for author: Joon-Myoung Kwon

Found 4 papers, 2 papers with code

Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports

1 code implementation9 Mar 2023 Hyunseung Chung, Jiho Kim, Joon-Myoung Kwon, Ki-Hyun Jeon, Min Sung Lee, Edward Choi

We compare the performance of our model with other representative models in text-to-speech and text-to-image.

Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels

no code implementations8 Aug 2022 Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi

Automatic deep learning-based examination of ECG signals can lead to inaccurate diagnosis, and manual analysis involves rejection of noisy ECG samples by clinicians, which might cost extra time.

Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram

1 code implementation14 Mar 2022 JungWoo Oh, Hyunseung Chung, Joon-Myoung Kwon, Dong-gyun Hong, Edward Choi

In this work, we propose an ECG pre-training method that learns both local and global contextual representations for better generalizability and performance on downstream tasks.

Self-Supervised Learning

Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads

no code implementations28 Feb 2021 Yong-Yeon Jo, Young Sang Choi, Jong-Hwan Jang, Joon-Myoung Kwon

The electrocardiogram (ECG) records electrical signals in a non-invasive way to observe the condition of the heart, typically looking at the heart from 12 different directions.

Data Augmentation

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