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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 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Author Jongdoo Choi, Lanmi Hwang, Kunwook Jo, WooSik Yu, Heeseok Song Abstract We developed an algorithm that identifies the exercise levels and amount of exercise with high accuracy using the wearable electrocardiogram MC100 that can

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

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