| Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram U Erdenebayar, YJ Kim, JU Park, EY Joo, KJ Lee Computer methods and programs in biomedicine 180, 105001, 2019 | 168 | 2019 |
| Automated detection of obstructive sleep apnea events from a single-lead electrocardiogram using a convolutional neural network E Urtnasan, JU Park, EY Joo, KJ Lee Journal of medical systems 42, 1-8, 2018 | 110 | 2018 |
| Automatic prediction of atrial fibrillation based on convolutional neural network using a short-term normal electrocardiogram signal U Erdenebayar, H Kim, JU Park, D Kang, KJ Lee Journal of Korean medical science 34 (7), 2019 | 94 | 2019 |
| Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram E Urtnasan, JU Park, KJ Lee Physiological measurement 39 (6), 065003, 2018 | 71 | 2018 |
| Automatic detection of sleep-disordered breathing events using recurrent neural networks from an electrocardiogram signal E Urtnasan, JU Park, KJ Lee Neural computing and applications 32, 4733-4742, 2020 | 53 | 2020 |
| Obstructive sleep apnea screening using a piezo-electric sensor U Erdenebayar, JU Park, P Jeong, KJ Lee Journal of Korean medical science 32 (6), 893-899, 2017 | 35 | 2017 |
| Identification of sleep apnea severity based on deep learning from a short-term normal ECG E Urtnasan, JU Park, EY Joo, KJ Lee Journal of Korean Medical Science 35 (47), 2020 | 30 | 2020 |
| Ai-enabled algorithm for automatic classification of sleep disorders based on single-lead electrocardiogram E Urtnasan, EY Joo, KH Lee Diagnostics 11 (11), 2054, 2021 | 24 | 2021 |
| Deep convolutional recurrent model for automatic scoring sleep stages based on single-lead ECG signal E Urtnasan, JU Park, EY Joo, KJ Lee Diagnostics 12 (5), 1235, 2022 | 22 | 2022 |
| Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter JU Park, HK Lee, J Lee, E Urtnasan, H Kim, KJ Lee Physiological measurement 36 (9), 2009, 2015 | 22 | 2015 |
| Estimation of arterial blood pressure based on artificial intelligence using single earlobe photoplethysmography during cardiopulmonary resuscitation JU Park, DW Kang, U Erdenebayar, YJ Kim, KC Cha, KJ Lee Journal of medical systems 44, 1-4, 2020 | 19 | 2020 |
| Multi-class classification of sleep apnea/hypopnea events based on long short-term memory using a photoplethysmography signal CH Kang, U Erdenebayar, JU Park, KJ Lee Journal of Medical Systems 44, 1-4, 2020 | 19 | 2020 |
| Concept and proof of the lifelog bigdata platform for digital healthcare and precision medicine on the cloud KH Lee, E Urtnasan, S Hwang, HY Lee, JH Lee, SB Koh, H Youk Yonsei medical journal 63 (Suppl), S84, 2022 | 17 | 2022 |
| Automatic classification of sleep stage from an ECG signal using a gated-recurrent unit U Erdenebayar, Y Kim, JU Park, SY Lee, KJ Lee International Journal of Fuzzy Logic and Intelligent Systems 20 (3), 181-187, 2020 | 11 | 2020 |
| Optimal classifier for detection of obstructive sleep apnea using a heartbeat signal E Urtnasan, JU Park, SY Lee, KJ Lee International Journal of Fuzzy Logic and Intelligent Systems 17 (2), 76-81, 2017 | 11 | 2017 |
| A prediction algorithm for hypoglycemia based on support vector machine using glucose level and electrocardiogram JU Park, Y Kim, Y Lee, E Urtnasan, KJ Lee Journal of Medical Systems 46 (10), 68, 2022 | 10 | 2022 |
| A prediction model of incident cardiovascular disease in patients with sleep-disordered breathing JU Park, E Urtnasan, SH Kim, KJ Lee Diagnostics 11 (12), 2212, 2021 | 10 | 2021 |
| Design of a fast learning classifier for sleep apnea database based on fuzzy SVM SY Lee, E Urtnasan, KJ Lee International Journal of Fuzzy Logic and Intelligent Systems 17 (3), 187-193, 2017 | 10 | 2017 |
| Noninvasive screening tool for hyperkalemia using a single-lead electrocardiogram and deep learning: Development and usability study E Urtnasan, JH Lee, B Moon, HY Lee, K Lee, H Youk JMIR Medical Informatics 10 (6), e34724, 2022 | 9 | 2022 |
| Deep learning for automatic detection of periodic limb movement disorder based on electrocardiogram signals E Urtnasan, JU Park, JH Lee, SB Koh, KJ Lee Diagnostics 12 (9), 2149, 2022 | 7 | 2022 |
Kyoung Joung LeeYonsei university, Dept. of Biomedical engineeringVerified email at yonsei.ac.kr