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1. Full Text Recommendations for the standardization and interpretation of the electrocardiogram - Part I: The electrocardiogram and its technology - A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society - Endorsed by the International Society for Computerized Electrocardiology
by Kligfield, P and Gettes, LS and Bailey, JJ and Childers, R and Deal, BJ and Hancock, EW and van Herpen, G and Kors, JA and Macfarlane, P and Mirvis, DM and Pahlm, O and Rautaharju, P and Wagner, GS and American College of Cardiology Foundation and American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology and Heart Rhythm Society and Klinisk fysiologi, Lund and Department of Clinical Physiology (Lund) and Lund University and Lunds universitet
CIRCULATION, ISSN 0009-7322, 03/2007, Volume 115, Issue 10, pp. 1306 - 1324
This statement examines the relation of the resting ECG to its technology. Its purpose is to foster understanding of how the modern ECG is derived and... 
potentials | NORMAL LIMITS | CARDIAC & CARDIOVASCULAR SYSTEMS | R-WAVE PROGRESSION | LIMB LEAD | diagnosis | CHEST LEADS V-7 | INFERIOR MYOCARDIAL-INFARCTION | LEFT-VENTRICULAR HYPERTROPHY | AHA Scientific Statements | electrocardiography | ARTIFICIAL NEURAL-NETWORKS | intervals | tests | electrophysiology | TASK-FORCE | PERIPHERAL VASCULAR DISEASE | ST-SEGMENT ELEVATION | computers | ECG AMPLITUDE MEASUREMENTS | United States | Humans | Sensitivity and Specificity | Electrocardiography - standards | Signal Processing, Computer-Assisted | Arrhythmias, Cardiac - diagnosis | International Cooperation | Electrocardiography - trends | Forecasting | Kardiologi | Clinical Medicine | Cardiac and Cardiovascular Systems | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap
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2. Full Text Holter-electrocardiogram-monitoring in patients with acute ischaemic stroke (Find-AFRANDOMISED ): an open-label randomised controlled trial
by Wachter, Rolf, Prof and Gröschel, Klaus, MD and Gelbrich, Götz, Prof and Hamann, Gerhard F, Prof and Kermer, Pawel, Prof and Liman, Jan, MD and Seegers, Joachim, MD and Wasser, Katrin, MD and Schulte, Anna, MS and Jürries, Falko, MD and Messerschmid, Anna, MS and Behnke, Nico, MD and Gröschel, Sonja, MD and Uphaus, Timo, MD and Grings, Anne, MD and Ibis, Tugba, MD and Klimpe, Sven, MD and Wagner-Heck, Michaela, MD and Arnold, Magdalena, MD and Protsenko, Evgeny, MD and Heuschmann, Peter U, Prof and Conen, David, Prof and Weber-Krüger, Mark, MD and Find-AF Randomised Investigators and Find-AF(randomised) Investigators and Coordinators
Lancet Neurology, The, ISSN 1474-4422, 2017, Volume 16, Issue 4, pp. 282 - 290
Summary Background Atrial fibrillation is a major risk factor for recurrent ischaemic stroke, but often remains undiagnosed in patients who have had an acute... 
Neurology | CRYPTOGENIC STROKE | MANAGEMENT | TASK-FORCE | GUIDELINES | PAROXYSMAL ATRIAL-FIBRILLATION | ECG | ATTACK | CLINICAL NEUROLOGY | Brain Ischemia - complications | Follow-Up Studies | Outcome Assessment (Health Care) | Humans | Middle Aged | Stroke - diagnosis | Atrial Fibrillation - complications | Male | Stroke - etiology | Time Factors | Statistics, Nonparametric | Aged, 80 and over | Female | Aged | Atrial Fibrillation - diagnosis | Electrocardiography - methods | Germany | Stroke (Disease) | Care and treatment | Ischemia | Atrial fibrillation | Patient monitoring equipment | Electrocardiogram | Clinical trials | Electrocardiography | Cardiology | Epidemiology | Hypertension | Studies | Heart failure | Cardiac arrhythmia | Stroke | Medical imaging | Cardiovascular disease | Diabetes
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3. The 12 lead electrocardiogram
by Schamroth, Leo
1989, ISBN 9780632022038, 2 v. (x, 830, viii p.)
Electrocardiography
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4. Full Text Local Depolarization Abnormalities Are the Dominant Pathophysiologic Mechanism for Type 1 Electrocardiogram in Brugada Syndrome A Study of Electrocardiograms, Vectorcardiograms, and Body Surface Potential Maps During Ajmaline Provocation
by Postema, Pieter G and van Dessel, Pascal F. H. M and Kors, Jan A and Linnenbank, Ane C and van Herpen, Gerard and Ritsema van Eck, Henk J and van Geloven, Nan and de Bakker, Jacques M. T and Wilde, Arthur A. M and Tan, Hanno L
Journal of the American College of Cardiology, ISSN 0735-1097, 2010, Volume 55, Issue 8, pp. 789 - 797
Objectives We sought to obtain new insights into the pathophysiologic basis of Brugada syndrome (BrS) by studying changes in various electrocardiographic... 
vectorcardiography | body surface potential mapping | sudden cardiac death | Brugada syndrome | electrocardiography | INTERVAL | DIAGNOSTIC-VALUE | CARDIAC & CARDIOVASCULAR SYSTEMS | STIMULATION | ECG | REPOLARIZATION | HEART | CONDUCTION DELAY | TRANSMURAL DISPERSION | ASSOCIATION | IDIOPATHIC VENTRICULAR-FIBRILLATION | Brugada Syndrome - diagnosis | Body Surface Potential Mapping | Brugada Syndrome - physiopathology | Humans | Middle Aged | Adult | Female | Male | Ajmaline | Anti-Arrhythmia Agents | Heart rate | Electrocardiography | Cardiac arrhythmia | Hypotheses | Heart attacks | Mortality
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5. Full Text Current methods in electrocardiogram characterization
by Martis, Roshan Joy and Acharya, U. Rajendra and Adeli, Hojjat
Computers in Biology and Medicine, ISSN 0010-4825, 2014, Volume 48, Issue 1, pp. 133 - 149
Abstract The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart. The subtle changes in the electric potential patterns of... 
Internal Medicine | Other | Wavelets | Arrhythmia | Electrocardiogram | Transform domain techniques | Computer aided cardiac diagnosis (CACD) | Non-linear methods | Cardiovascular diseases (CVD) | HIGHER-ORDER STATISTICS | PRINCIPAL COMPONENT ANALYSIS | ENGINEERING, BIOMEDICAL | ECG SIGNAL | AUTOMATIC IDENTIFICATION | ATRIAL-FIBRILLATION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PLAQUE TISSUE CHARACTERIZATION | EMPIRICAL MODE DECOMPOSITION | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | QRS DETECTION | WAVELET TRANSFORM | FUNCTION NEURAL-NETWORK | Signal Processing, Computer-Assisted | Arrhythmias, Cardiac - diagnosis | Humans | Arrhythmias, Cardiac - physiopathology | Electrocardiography - methods | Diagnosis, Computer-Assisted - methods | Electrocardiography | Analysis | Methods | Biomedical engineering | Cardiac arrhythmia | Exercise | Heart attacks | Mortality | Cardiovascular disease
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6. Full Text The electrocardiogram
by Davey, Patrick and Sharman, David
Medicine, ISSN 1357-3039, 08/2018, Volume 46, Issue 8, pp. 443 - 452
This article describes the features that should be looked at on a 12-lead electrocardiogram to determine whether or not it is normal. It describes the... 
Atrial enlargement | Brugada syndrome | ventricular hypertrophy | MRCP | ST elevation myocardial infarction | cardiovascular disorders | ECG | diagnosis | syncope
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7. Electrocardiograms
: a systematic method of reading them
by Armstrong, Michael Lawrence
1974, 3rd. ed. --, ISBN 9780723603535, viii, 72
Electrocardiography
Book
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8. Electrocardiograms
: a systematic method of reading them
by Armstrong, Michael L
1985, 5th ed., ISBN 0723607931, xii, 308
Electrocardiography
Book
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9. Full Text Individual identification via electrocardiogram analysis
by Fratini, Antonio and Sansone, Mario and Bifulco, Paolo and Cesarelli, Mario
BioMedical Engineering Online, ISSN 1475-925X, 08/2015, Volume 14, Issue 1, p. 78
Background: During last decade the use of ECG recordings in biometric recognition studies has increased. ECG characteristics made it suitable for subject... 
RECOGNITION | DATABASE | ENGINEERING, BIOMEDICAL | INTERINDIVIDUAL VARIABILITY | PERSONAL IDENTIFICATION | BIOMETRICS | CARDIAC CONDITIONS | HEART-RATE | ALGORITHMS | ECG ANALYSIS | FEATURES | Signal Processing, Computer-Assisted | Statistics as Topic | Biometric Identification | Humans | Electrocardiography - methods | Electrocardiography | Analysis | Electrocardiogram | Biometry
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10. Differential diagnosis of the electrocardiogram
by Arbeit, Sidney R and Gross, Harry, 1901 and Rubin, Ira Lloyd
1975, Ed. 2. --, ISBN 0803602413, v.
Electrocardiography | Diagnosis, Differential
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11. Full Text Utility of Electrocardiogram in the Assessment and Monitoring of Pulmonary Hypertension (Idiopathic or Secondary to Pulmonary Developmental Abnormalities) in Patients ≤18 Years of Age
by Lau, Kelvin C., MD, MPH and Frank, David B., MD, PhD and Hanna, Brian D., MD, PhD and Patel, Akash R., MD
American Journal of Cardiology, The, ISSN 0002-9149, 2014, Volume 114, Issue 2, pp. 294 - 299
Electrocardiograms have utility in disease stratification and monitoring in adult pulmonary arterial hypertension (PAH). We examined the electrocardiographic... 
Cardiovascular | ECG | CARDIAC & CARDIOVASCULAR SYSTEMS | Hypertension, Pulmonary - diagnosis | Lung Diseases - congenital | Reproducibility of Results | Follow-Up Studies | Humans | Child, Preschool | Hypertension, Pulmonary - physiopathology | Lung - abnormalities | Familial Primary Pulmonary Hypertension | Infant | Male | Electrocardiography - utilization | Cardiac Catheterization | Monitoring, Physiologic - utilization | Adolescent | Monitoring, Physiologic - methods | Female | Lung Diseases - complications | Lung Diseases - physiopathology | Retrospective Studies | Child | Hypertension, Pulmonary - etiology | Infant, Newborn | Electrocardiography | Development and progression | Catheterization | Electrocardiogram | Pulmonary hypertension | Hypertension | Variables | Mortality | Cardiovascular disease | Intubation | Age | Children & youth
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12. Full Text Deep learning approach for active classification of electrocardiogram signals
by Rahhal, M.M. Al and Bazi, Yakoub and AlHichri, Haikel and Alajlan, Naif and Melgani, Farid and Yager, R.R
Information Sciences, ISSN 0020-0255, 06/2016, Volume 345, pp. 340 - 354
In this paper, we propose a novel approach based on deep learning for active classification of electrocardiogram (ECG) signals. To this end, we learn a... 
ECG signal classification | Feature learning | Denoising autoencoder (DAE) | Active learning (AL) | Deep neural network (DNN) | SUPPORT VECTOR MACHINES | MIXTURE | ECG BEAT CLASSIFICATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | ARRHYTHMIA | FREQUENCY-DOMAIN | HEARTBEAT INTERVAL FEATURES | NEURAL-NETWORKS | WAVELET TRANSFORM | SPEECH RECOGNITION | OPTIMIZATION | Electrocardiography | Rankings | Arrhythmia | Neural networks | Analysis | Electrocardiogram | Learning | Recommendations | Databases | Classification | Entropy | Representations | Retraining
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13. Full Text Graphene-clad textile electrodes for electrocardiogram monitoring
by Yapici, Murat Kaya and Alkhidir, Tamador and Samad, Yarjan Abdul and Liao, Kin
Sensors & Actuators: B. Chemical, ISSN 0925-4005, 12/2015, Volume 221, pp. 1469 - 1474
Functionalized textiles and graphene are both emerging materials for wearable technologies. Here, we unite graphene with ordinary textiles and report the... 
Textile | Flexible | Electrode | Graphene | Electrocardiogram | Biosensor | ECG | Wearable | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | SENSORS | DRY ELECTRODES | INSTRUMENTS & INSTRUMENTATION | SCREEN | ACTIVE ELECTRODES | SURFACE | THIN | Electrodes | Electrocardiography | Graphite | Aerospace engineering | Silver | Textile composites | Echocardiography | Fabrics | Monitoring | Textiles
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14. Full Text Electrocardiogram-Assisted Blood Pressure Estimation
by Ahmad, S and Silu Chen and Soueidan, K and Batkin, I and Bolic, M and Dajani, H and Groza, V
IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, 03/2012, Volume 59, Issue 3, pp. 608 - 618
Accurate automatic noninvasive assessment of blood pressure (BP) presents a challenge due to conditions like arrhythmias, obesity, and postural changes that... 
Algorithm design and analysis | oscillometric analysis | electrocardiogram (ECG) | pulse transit time (PTT) | Pulse measurements | cuff pressure (CP) | Prototypes | Estimation | Electrocardiography | Brachytherapy | Biomedical monitoring | Blood pressure estimation | ENGINEERING, BIOMEDICAL | VALIDATION | ECG | PULSE TRANSIT-TIME | HYPERTENSION | WAVE VELOCITY | Humans | Middle Aged | Pulse | Blood Pressure Determination - instrumentation | Oscillometry - instrumentation | Linear Models | Male | Calibration | Equipment Design | Sphygmomanometers - standards | Textiles | Electrodes | Pilot Projects | Algorithms | Adult | Female | Software | Electrocardiography - methods | Measurement | Robust statistics | Technology application | Usage | Electrocardiogram | Analysis | Signal processing | Blood pressure | Doppler effect | Methods | FDA approval
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15. Full Text Adversarial de-noising of electrocardiogram
by Wang, Jilong and Li, Rui and Li, Renfa and Li, Keqin and Zeng, Haibo and Xie, Guoqi and Liu, Li
Neurocomputing, ISSN 0925-2312, 07/2019, Volume 349, pp. 212 - 224
The electrocardiogram (ECG) is an important index to monitor heart health and to treat heart diseases. The ECG signals acquisition process is often accompanied... 
Noise reduction | Generative adversarial networks | Electrocardiogram signal | EMPIRICAL MODE DECOMPOSITION | REMOVAL | REDUCTION | ECG | POWER-LINE INTERFERENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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16. Full Text A dynamical model for generating synthetic electrocardiogram signals
by McSharry, P.E and Clifford, G.D and Tarassenko, L and Smith, L.A
IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, 03/2003, Volume 50, Issue 3, pp. 289 - 294
A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram... 
Heart rate | Morphology | Humans | Differential equations | Hafnium | Electrocardiography | Signal generators | Frequency | Amplitude modulation | Timing | Dynamical model | QT-interval | Mayer waves | QRS morphology | Heart rate variability (HRV) | Synthetic ECG | RR tachogram | RR-interval | Respiratory sinus arrhythmia | ENGINEERING, BIOMEDICAL | heart rate variability (HRV) | synthetic ECG | QT INTERVAL | respiratory sinus arrhythmia | dynamical model | Reference Standards | Equipment Failure Analysis - methods | Models, Cardiovascular | Computer Simulation | Equipment Failure Analysis - standards | Electrocardiography - standards | Heart Rate - physiology | Electrocardiography - methods | Electrocardiogram | Models
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