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Revisiting Application of Exercise Electrocardiography in Patients with Stable Ischemic Heart Disease

Oh JH

No abstract available.
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Time Course of Functional Recovery and ECG Change in Takotsubo Cardiomyopathy

Park YH

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Time Course of Functional Recovery in Takotsubo (Stress) Cardiomyopathy: A Serial Speckle Tracking Echocardiography and Electrocardiography Study

Lee M

BACKGROUND: Although rapid recovery of cardiac contraction is a hallmark of Takotsubo cardiomyopathy (TTC), the time course of recovery is still ill-defined. We aimed to investigate the time course of...
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Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly

Kim NR, Choi CK, Kim HS, Oh SH, Yang JH, Lee KH, Kim JH, Park MS, Kim HY, Shin MH

Atrial fibrillation (AF) is responsible for 10–20% of cerebral infarctions. Several mobile devices have been developed to screen for AF and studies of AF screening have been conducted in several...
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Time–frequency localization using three-tap biorthogonal wavelet filter bank for electrocardiogram compressions

Kumar A, Komaragiri R, Kumar M

A joint time–frequency localized three-band biorthogonal wavelet filter bank to compress Electrocardiogram signals is proposed in this work. Further, the use of adaptive thresholding and modified run-length encoding resulted in...
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Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model

Yoon D, Lim HS, Jung K, Kim TY, Lee S

OBJECTIVES: Biosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning...
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Electrocardiogram and cardiac testing among patients in the emergency department with seizure versus syncope

White JL, Hollander , Pines JM, Mullins PM, Chang AM

OBJECTIVE: Cardiogenic syncope can present as a seizure. The distinction between seizure disorder and cardiogenic syncope can only be made if one considers the diagnosis. Our main objective was to...
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A Case of Treatment with QRS Widening in Electrocardiogram after Glyphosate Herbicide Poisoning

Lee JH

Glyphosate herbicides, which are widely used worldwide, are known to have low toxicity. However, excessive intake may cause serious life-threatening complications; therefore, caution is needed when using them. A 51-year-old...
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Association between Ischemic Electrocardiographic Changes during Acetylcholine Provocation Test and Long-Term Clinical Outcomes in Patients with Vasospastic Angina

Im SI, Rha SW, Choi BG, Na JO, Choi CU, Lim HE, Kim JW, Kim EJ, Park CG, Seo HS

OBJECTIVES: Intracoronary injection of acetylcholine (Ach) has been shown to induce significant coronary artery spasm (CAS) in patients with vasospastic angina. Clinical significance and angiographic characteristics of patients with ischemic...
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New Termination-of-Resuscitation Models and Prognostication in Out-of-Hospital Cardiac Arrest Using Electrocardiogram Rhythms Documented in the Field and the Emergency Department

Lee DE, Lee MJ, Ahn JY, Ryoo HW, Park J, Kim WY, Shin SD, Hwang SO, on behalf of the Korean Cardiac Arrest Research Consortium (KoCARC)

BACKGROUND: Electrocardiogram (ECG) rhythms, particularly shockable rhythms, are crucial for planning cardiac arrest treatment. There are varying opinions regarding treatment guidelines depending on ECG rhythm types and documentation times within...
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Clinical Characteristics Associated with Electrocardiographic Left Ventricular Hypertrophy in Clinical Normotensives without a History of Hypertension: a Cross-Sectional Study

Lee H, Song HJ, Paek YJ, Park KH, Noh HM, Kim G, Seo YG

BACKGROUND: This study evaluated factors independently associated with electrocardiographic left ventricular hypertrophy (ECG-LVH) in subjects who were normotensive on clinical measurement and had no prior history of hypertension. METHODS: This cross-sectional...
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Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal

Erdenebayar U, Kim H, Park JU, Kang D, Lee KJ

BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal. METHODS: We designed a...
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Reliability in Using Routine Coronary CT Angiography with Retrospective Electrocardiographic Gating for the Comprehensive Functional Evaluation of the Left Ventricle

Kang EJ, Hong J, Park J, Lee J

PURPOSE: To evaluate the feasibility of comprehensive left ventricle (LV) functional parameters on routine coronary computed tomographic angiography (CCTA) based on two-dimensional echocardiography (2DE). MATERIALS AND METHODS: Ninety-nine patients who underwent...
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The application of ECG cancellation in diaphragmatic electromyographic by using stationary wavelet transform

Luo G, Yang Z

In this paper, we present and investigate a special kind of stationary wavelet algorithm using “inverse” hard threshold to eliminate the electrocardiogram (ECG) interference included in diaphragmatic electromyographic (EMGdi). Differing...
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Construction of an Electrocardiogram Database Including 12 Lead Waveforms

Chung D, Choi J, Jang JH, Kim TY, Byun J, Park H, Lim HS, Park RW, Yoon D

OBJECTIVES: Electrocardiogram (ECG) data are important for the study of cardiovascular disease and adverse drug reactions. Although the development of analytical techniques such as machine learning has improved our ability...
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Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis

Kwon O, Jeong J, Kim HB, Kwon IH, Park SY, Kim JE, Choi Y

OBJECTIVES: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling...
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Left Main Coronary Artery Stenosis Presenting as Syncope with Brugada Type Electrocardiography

Kim N, Bae MH

A 34-year-old man presented to the outpatient clinic with syncope for 1 minute when he was working. He had no past medical and family history of sudden cardiac death. Electrocardiography...
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The research of sleep staging based on single-lead electrocardiogram and deep neural network

Wei R, Zhang X, Wang J, Dang X

The polysomnogram (PSG) analysis is considered the golden standard for sleep staging under the clinical environment. The electroencephalogram (EEG) signal is the most important signal for classification of sleep stages....
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V5E and V6E, the New Additional Electrocardiographic Leads to Detect Lateral Wall Acute Myocardial Infarction: Preliminary Study

Hwang GU, Oh SB

PURPOSE: The 12-lead electrocardiogram has limitation for detection of lateral wall myocardial infarction (MI). Therefore, this study was conducted to compare the location of leads V5 and V6 with the...
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Gender Differences in Aggression-related Responses on EEG and ECG

Im S, Jin G, Jeong J, Yeom J, Jekal J, Lee SI, Cho JA, Lee S, Lee Y, Kim DH, Bae M, Heo J, Moon C, Lee CH

Gender differences in aggression viewed from an evolutionary and sociocultural perspective have traditionally explained why men engage in more direct and physical aggression, and women engage in more indirect and...
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