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Minje Park

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#artificial intelligence Preprint Oct 2026

Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools

Electrocardiogram (ECG) delineation, the identification of waveform boundaries, is a foundational step that translates raw ECG signals into clinically interpretable measurements. Deep learning has advanced this task but remains dependent on costly expert annotations. Label-efficient strategies such as self-supervised p...

Jeonghwa Lim, Minje Park, Yeongyeon Na et al. · 0 citations
Open access Aug 2026

Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data

The findings elucidate the feasibility of deep learning–based AF risk prediction using single-NSR recordings from mobile devices, highlighting the potential for remote AF management in real-world populations.

Minje Park, H. Ahn, Yeongyeon Na et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Change Point--Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation

This work proposes a fluctuation-aware evaluation framework for PPG-based BP estimation based on time-series change point detection and introduces a targeted re-calibration framework triggered by detected BP change points, improving robustness without modifying model architectures.

Yunwon Tae, Minje Park, Gyunho Rho et al. · 0 citations

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