Impact of Prone Position on 12-Lead Electrocardiogram in Healthy Adults: A Comparison Study with Standard Electrocardiogram by Yunis Daralammouri, Murad Azamtta, Hamza Hamayel, Amro Adas, Osama Sawalmeh, Yahia Ismail, Saed H. Zyoud

“…Background. The standard electrocardiogram (ECG) is commonly performed in the supine posture. …”
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Drugs that enlarge the QT interval of the electrocardiogram. by Pedro Miguel Milián Vázquez., Masiel Cruz Rodríguez, Antonio L. Moreno Otero

“…In this article the main causes of the enlargement of the electrocardiogram QT interval are commented, making emphasis in the main cause: drugs. …”
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Cause of ST-segment elevation on electrocardiogram by Rodney Yu-Hang Soh, Ching-Hui Sia, Kian-Keong Poh, Joshua Ping-Yun Loh, Devinder Singh

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Brugada Pattern Electrocardiogram Unmasked with Cocaine Ingestion by M. Chadi Alraies, Mohammed A. R. Chamsi-Pasha, Motaz Baibars, Abdul Hamid Alraiyes, Khaldoon Shaheen

“…We report a patient who survived massive cocaine ingestion with psychomotor agitation and generalized seizures followed by asystolic cardiac arrest and transient Brugada pattern on electrocardiogram (ECG).…”
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Mobile Messaging Services-Based Personal Electrocardiogram Monitoring System by Ashraf A. Tahat

“…A proof of concept prototype has been developed and implemented to enable transmission of an Electrocardiogram (ECG) signal and body temperature of a patient, which can be expanded to include other vital signs. …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…Background: The electrocardiogram (ECG) is a valuable, noninvasive tool for monitoring heart-related conditions, providing critical insights. …”
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From Waves to Diagnoses: Decoding Electrocardiogram for Improved Cardiac Care by Sharanya Varaganti, Rajaputana Lakshmi Manisha, Sudhakar Muvvala

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Predictors of Cardiac Resynchronization Therapy Response: The Pivotal Role of Electrocardiogram by Yahya S. Al Hebaishi, Halia Z. Al Shehri, Abdulrahman M. Al Moghairi

“…In this paper we summarize the usefulness of different diagnostic modalities with special emphasis on the role of surface electrocardiogram as a major predictor of response to cardiac resynchronization therapy.…”
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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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Fear of electrocardiogram interpretation (ECGphobia) among medical students and junior doctors by Ching-Hui Sia, Nicholas Wen Sheng Chew, Clarissa Wei Shuen Cheong, Tin Wei Yuen, Erica Lauren Soong, Yi-Jing Ong, Tiong-Cheng Yeo, Kian-Keong Poh, Shirley Beng Suat Ooi, William Kok-Fai Kong

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Clinical Significance of Screening Electrocardiograms for the Administration of Propranolol for Problematic Infantile Hemangiomas by James D. Phillips, Tyler Merrill, J. Reed Gardner, R. Thomas Collins, Jenika Sanchez, Adam B. Johnson, Brian K. Eble, Larry D. Hartzell, Jay M. Kincannon, Gresham T. Richter

“…Low-dose nonselective β blockade is an effective treatment for problematic infantile hemangioma (PIH). Screening electrocardiograms (ECG) are performed prior to the initiation of propranolol to minimize the risk of exacerbating undiagnosed heart block. …”
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Electrocardiogram of Clinically Healthy Mithun (Bos frontalis): Variation among Strains by Sagar Sanyal, Pradip Kumar Das, Probal Ranjan Ghosh, Kinsuk Das, Kezha V. Vupru, Chandan Rajkhowa, Mohan Mondal

“…A study was conducted to establish the normal electrocardiogram in four different genetic strains of mithun (Bos frontalis). …”
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Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

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Comparison of Electrocardiogram and QT Interval between Viral Hepatitis Cirrhosis and Alcoholic Cirrhosis by Li-Hong Lu, Xue-Ya Lv, Qi-Ming Wu, Qian Dong, Zhao Wang, Su-Juan Zhang, Li Fu, Qian Wang, Yu-Qing Song

“…This study aims to compare the electrocardiogram (ECG) abnormalities and QT interval prolongation in 2,886 patients with viral hepatitis cirrhosis and 643 patients with alcoholic cirrhosis in order to understand the characteristics of ECG in patients with cirrhosis and provide information and evidence for clinical diagnosis and treatment. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

Subjects: “…fetal electrocardiogram…”
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The electrocardiogram in hypertensive patients. P wave dispersion: a new measure to be considered by Elibet Chávez González, Emilio González Rodríguez, Jesús Castro Hevia, María Del Carmen Llanes Camacho, Yosvany García Nóbrega, Raimundo Carmona Puerta, Ramiro Ramos Ramírez

“…The electrocardiogram is a complementary test with high specificity but low sensitivity. …”
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Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis by Junxin Chen, Jiazhu Xing, Leo Yu Zhang, Lin Qi

“…For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and compression of electrocardiogram signals in the wireless body sensor network. …”
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Progression of Wolff–Parkinson–White pattern 12-lead electrocardiogram changes in an asymptomatic athlete by Hwei Sian Shauna Sim, Syed Saqib Imran, Chin Sim Teoh

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Functional feature extraction and validation from twelve-lead electrocardiograms to identify atrial fibrillation by Wei Yang, Rajat Deo, Wensheng Guo

“…Abstract Background Deep learning methods on standard, 12-lead electrocardiograms (ECG) have resulted in the ability to identify individuals at high-risk for the development of atrial fibrillation. …”
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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…This study pioneers an innovative approach to improve the accuracy and dependability of emotion recognition (ER) systems by integrating electroencephalogram (EEG) with electrocardiogram (ECG) data. We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. …”
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