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Published 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Author Kun Wook Jo, Hoo Hyun Kim, Jong Doo Choi, Hee Seok Song Abstract We developed a deep learning model to detects atrial fibrillation by segments the morphological features of fibrillations (F wave).

Published 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Author Sun Jung Lee, Yun Kwan Kim, Lanmi Hwang, Kyung Chul Kim, Hee Seok Song Abstract Since it is difficult to detect atrial fibrillation (AF) at an early stage, a method to identify the potential

Published International Conference on Biomedical Engineering and Applications Author Sung-Jin Ahn, Jong-Doo Choi, Hoo-Hyun Kim, Kyung-Chul Kim, Hee-Seok Song Abstract In this study, we propose a system that analyzes multiple ECG data in real time within a single system. This system is designed with a parallel processing architecture, where algorithm

Efficacy of Wearable Single-Lead ECG Monitoring during Exercise Stress Testing: A Comparative StudyBackground and Objectives: Few comparative studies have evaluated wearable single-lead electrocardiogram (ECG) devices and standard multi-lead ECG devices during exercise testing. This study aimed to validate the accuracy of a wearable single-lead ECG monitor for recording heart rate