Normal ECG Classification Based on Key Features and Statistical Learning. Lecture Notes in Artificial Intelligence . 2010Dong Jun,Tong Jiafei,Liu Xia.The abnormal vs.normal ECG classification based on key features and statistical learning[A].In:Lecture Notes in Artificial Intelligence[C].Berlin ...
A team of researchers from Tulane University, in their article “High Blood Pressure and Cardiovascular Disease” published in the Journal of Hypertension, highlights that abnormal blood pressure readings, whether high or low, in systolic or diastolic measurements, can signal potential health issues. T...
urally normal heart Abnormal ECG in a structurally normal heartAbnormal ECG in a structurally normal heartdoi:10.1016/j.cjco.2020.03.014Mohammed Shurrab MD, MSc a b c d eAsaf Danon MD, MSc fBenedict Glover MD eCJC Open
34 albeit with considerable heterogeneity among HCM patients.32 Moreover, while LGE may not accurately reveal the presence of abnormal tissue in the setting of less severe or more diffuse fibrosis, ECV has shown to be a surrogate for the presence of fibrosis in a significantly higher percentage ...
The electrical changes involved can be recorded on an electrocardiogram (ECG). Other cardiac cells that are located outside the sinus node are also capable of initiating impulses. These cells, termed ectopic pacemakers, can be found in the atriovertricular junction and in the His-Purkinje system...
Home > September/October 1995 - Volume 15 - Issue 5 > COMPARISON OF NORMAL AND ABNORMAL FINDINGS FROM EXERCISE ECG... < Previous Abstract | Next Abstract > Text sizing: A A A You could be reading the full-text of this article now if you... Become a subscriber Purchase th...
abnormal ECGcardiovascular diseasenormal ECGpatientsudden death (SD)Summary This chapter deals with the bases of normal ECG and the clues of ECG diagnosis. It is devoted to the importance of taking into consideration the clinical context of each patient in interpreting the ECG. On occasion, an ...
Two types of ECG signals (normal and abnormal) can be detected in this work from each database. The records from MIT-BIH Arrhythmias and Apnea ECG database from physionet have been used for training and testing our neural network based classifier. 90% healthy and 100% abnormal are detected...
Simulating normal and abnormal ECG signals in children age 0--16doi:10.1109/chase.2017.103Haijia WangZitong SuHua FangIEEECooperative and Human Aspects of Software Engineering
ECGSimulationChildrenFourier seriesThis project used a ECG simulator built upon the Fourier series principle to study the patterns of normal and abnormal (defined as both above and below normal ranges) heart beats and other important ECG parameters for children of differing age groups. Across age ...