118 results  1 of 6 

1 Determination of optimal tip position of peripherally inserted central catheters using electrocardiography: a retrospective study
Ki Tae Jung, Linda Kelly, Alexandra Kuznetsov, A. Sassan Sabouri, Kichang Lee
Korean J Anesthesiol.2023;76(3):242-251.   Published online 2022 December 23     DOI: http://dx.doi.org/10.4097/kja.22639
      
2 Educational impact of an active learning session with 6-lead mobile electrocardiography on medical students’ knowledge of cardiovascular physiology during the COVID-19 pandemic in the United States: a survey-based observational study
Alexandra Camille Greb, Emma Altieri, Irene Masini, Emily Helena Frisch, Milton Leon Greenberg, Sun Huh
J Educ Eval Health Prof.2022;19:12.  Published online 2022 June 20     DOI: http://dx.doi.org/10.3352/jeehp.2022.19.12
      
3 Reverse Takotsubo cardiomyopathy with left bundle branch block after anesthesia induction in a patient with subarachnoid hemorrhage: a case report
Eun Kyung Choi, Jong-Hoon Kim, Minhyun Kim
J Yeungnam Med Sci.2021;39(2):172-178.   Published online 2021 October 25     DOI: http://dx.doi.org/10.12701/yujm.2021.01354
      
4 Electrocardiographic Abnormalities following Syncope during Warm-up in a Professional Football Player: A Case Report
Dae-Hee Lee, Sang-Hun Ko, Ki-Bong Park, Kyung-Joo Lee
Korean J Sports Med.2021;39(3):131-134.   Published online 2021 September 1     DOI: http://dx.doi.org/10.5763/kjsm.2021.39.3.131
      
5 Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records
Tae Young Kim, Byung Jin Choi, Yeryung Koo, Sukhoon Lee, Dukyong Yoon
Healthc Inform Res.2021;27(3):182-188.   Published online 2021 July 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.3.182
      
6 Continuous heart rate variability and electroencephalography monitoring in severe acute brain injury: a preliminary study
Hyunjo Lee, Sang-Beom Jeon, Kwang-Soo Lee
Acute Crit Care.2021;36(2):151-161.   Published online 2021 March 18     DOI: http://dx.doi.org/10.4266/acc.2020.00703
      
7 Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
Jong-Hwan Jang, Tae Young Kim, Dukyong Yoon
Healthc Inform Res.2021;27(1):19-28.   Published online 2021 January 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.1.19
      
8 Comparison of Mobile Application-Based ECG Consultation by Collective Intelligence and ECG Interpretation by Conventional System in a Tertiary-Level Hospital
You Mi Hwang, Ji-Hyun Kim, Yoo Ri Kim
Korean Circ J.2021;51(4):351-357.   Published online 2021 January 18     DOI: http://dx.doi.org/10.4070/kcj.2020.0364
      
9 Is two-dimensional echocardiography better than electrocardiography for predicting patient outcomes after cardiac arrest?
Dong Ki Kim, Yong Soo Cho, Joochan Kim, Byung Kook Lee, Dong Hun Lee, Eujene Jung, Jeong Mi Moon, Byeong Jo Chun
Acute Crit Care.2021;36(1):37-45.   Published online 2020 December 21     DOI: http://dx.doi.org/10.4266/acc.2020.00773
      
10 Clinical performance of medical students in Korea in a whole-task emergency station in the objective structured clinical examination with a standardized patient complaining of palpitations
Song Yi Park, Hyun-Hee Kong, Min-Jeong Kim, Yoo Sang Yoon, Sang-Hwa Lee, Sunju Im, Ji-Hyun Seo, Sun Huh
J Educ Eval Health Prof.2020;17:42.  Published online 2020 December 16     DOI: http://dx.doi.org/10.3352/jeehp.2020.17.42
      
11 Association Between Subcutaneous Implantable Cardioverter Defibrillator Preimplantation Screening and the Response to Cardiac Resynchronization Therapy
Ran Jing, Han Jin, Wei Hua, Shengwen Yang, Yiran Hu, Shu Zhang
Korean Circ J.2020;50(12):1062-1073.   Published online 2020 October 7     DOI: http://dx.doi.org/10.4070/kcj.2019.0420
      
12 Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly
Nu Ri Kim, Chang Kyun Choi, Hyeong-Suk Kim, Su-Hyun Oh, Jung-Hwa Yang, Ki Hong Lee, Ju Han Kim, Man-Seok Park, Hye-Yeon Kim, Min-Ho Shin
Chonnam Med J.2020;56(1):50-54.   Published online 2020 January 22     DOI: http://dx.doi.org/10.4068/cmj.2020.56.1.50
      
13 Discovering hidden information in biosignals from patients using artificial intelligence
Dukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, Tae Young Kim, Chang Ho Han
Korean J Anesthesiol.2020;73(4):275-284.   Published online 2020 January 16     DOI: http://dx.doi.org/10.4097/kja.19475
      
14 Time Course of Functional Recovery in Takotsubo (Stress) Cardiomyopathy: A Serial Speckle Tracking Echocardiography and Electrocardiography Study
Mirae Lee
J Cardiovasc Imaging.2020;28(1):50-60.   Published online 2019 December 16     DOI: http://dx.doi.org/10.4250/jcvi.2019.0083
      
15 Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model
Dukyong Yoon, Hong Seok Lim, Kyoungwon Jung, Tae Young Kim, Sukhoon Lee
Healthc Inform Res.2019;25(3):201-211.   Published online 2019 July 31     DOI: http://dx.doi.org/10.4258/hir.2019.25.3.201
      
16 New Termination-of-Resuscitation Models and Prognostication in Out-of-Hospital Cardiac Arrest Using Electrocardiogram Rhythms Documented in the Field and the Emergency Department
Dong Eun Lee, Mi Jin Lee, Jae Yun Ahn, Hyun Wook Ryoo, Jungbae Park, Won Young Kim, Sang Do Shin, Sung Oh Hwang,
J Korean Med Sci.2019;34(17):e134.  Published online 2019 April 30     DOI: http://dx.doi.org/10.3346/jkms.2019.34.e134
      
17 Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification
Joon-myoung Kwon, Kyung-Hee Kim, Ki-Hyun Jeon, Hyue Mee Kim, Min Jeong Kim, Sung-Min Lim, Pil Sang Song, Jinsik Park, Rak Kyeong Choi, Byung-Hee Oh
Korean Circ J.2019;49(7):629-639.   Published online 2019 March 21     DOI: http://dx.doi.org/10.4070/kcj.2018.0446
      
18 Echocardiography and electrocardiography as means to evaluate potential performance in horses
Carlos Lightowler, Giuseppe Piccione, Elisabetta Giudice, Gerardo Romei del Olmo, Maria Laura Cattaneo
J Vet Sci.2004;5(3):259-262.   Published online 2019 February 11     DOI: http://dx.doi.org/10.4142/jvs.2004.5.3.259
      
19 Radiological discrimination of cor pulmonale with pulmonary function and electrocardiography finding in coal workers pneumoconiosis
Yong Hee Cheon
Korean J Occup Environ Med.1996;8(3):446-453.   Published online 2019 February 1     DOI: http://dx.doi.org/10.35371/kjoem.1996.8.3.446
   
20 The association between T wave inversion and apical hypertrophic cardiomyopathy
Cheol Byoung Chae, Ju Hee Ha, Jun Ho Kim, Jae Joon Lee, Han Il Choi, Ki Beom Park, Jin Hee Kim, Jung Hyun Choi
Kosin Med J.2018;33(3):328-336.   Published online 2018 December 31     DOI: http://dx.doi.org/10.7180/kmj.2018.33.3.328
      

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