| Support vector machine based arrhythmia classification using reduced features MH Song, J Lee, SP Cho, KJ Lee, SK Yoo Korean Institute of Electrical Engineers 3 (4), 571-579, 2005 | 280 | 2005 |
| 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 |
| Application of a wavelet adaptive filter to minimise distortion of the ST-segment KL Park, KJ Lee, HR Yoon Medical and Biological Engineering and Computing 36, 581-586, 1998 | 99 | 1998 |
| 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 |
| A study on the activity classification using a triaxial accelerometer SH Lee, HD Park, SY Hong, KJ Lee, YH Kim Proceedings of the 25th annual international conference of the IEEE …, 2003 | 86 | 2003 |
| Design of a portable urine glucose monitoring system for health care HD Park, KJ Lee, HR Yoon, HH Nam Computers in biology and medicine 35 (4), 275-286, 2005 | 76 | 2005 |
| 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 |
| Enhancement of light propagation depth in skin: cross-validation of mathematical modeling methods K Kwon, T Son, KJ Lee, B Jung Lasers in medical science 24, 605-615, 2009 | 70 | 2009 |
| Correlation of urinary inflammatory and oxidative stress markers in very low birth weight infants with subsequent development of bronchopulmonary dysplasia KE Joung, HS Kim, J Lee, GH Shim, CW Choi, EK Kim, BI Kim, JH Choi Free radical research 45 (9), 1024-1032, 2011 | 69 | 2011 |
| Wireless bio-radar sensor for heartbeat and respiration detection BJ Jang, SH Wi, JG Yook, MQ Lee, KJ Lee Progress In Electromagnetics Research C 5, 149-168, 2008 | 61 | 2008 |
| Detection of arousals in patients with respiratory sleep disorders using a single channel EEG SP Cho, J Lee, HD Park, KJ Lee 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2733-2735, 2006 | 55 | 2006 |
| 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 |
| Temporally constrained ICA-based foetal ECG separation J Lee, KL Park, KJ Lee Electronics Letters 41 (21), 1, 2005 | 41 | 2005 |
| Snoring detection using a piezo snoring sensor based on hidden Markov models HK Lee, J Lee, H Kim, JY Ha, KJ Lee Physiological measurement 34 (5), N41, 2013 | 38 | 2013 |
| 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 |
| Mobile terminal and method of reducing power consumption for a dual display system JS Park, NR Lee, KM Kim, KJ Kim, JE Kim US Patent 8,571,605, 2013 | 34 | 2013 |
| Arrhythmia classification with reduced features by linear discriminant analysis J Lee, KL Park, MH Song, KJ Lee 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 1142-1144, 2006 | 34 | 2006 |
| New rule-based algorithm for real-time detecting sleep apnea and hypopnea events using a nasal pressure signal H Lee, J Park, H Kim, KJ Lee Journal of medical systems 40, 1-12, 2016 | 31 | 2016 |
| 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 |
