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 ...
COMPARISON OF NORMAL AND ABNORMAL FINDINGS FROM EXERCISE ECG AND POST-EXERCISE ECHO IN A SERIES OF HYPERTENSIVE AND NORMOTENSIVE INDIVIDUALS. Downey, Wendy R.; Ocel, Jeffrey V.; Craft, Laura L.; Davis, Shala E.; Herbert, William G. Login Username or Email: Password: Remember me For...
Knowledge of the range of normal structure and function is required to interpret abnormal cardiac conditions. Thus, the aim of this review is to provide reference intervals (“normal values”) for morphological and functional CMR parameters of the cardiovascular system based on a systematic review of...
Knowledge of the range of normal structure and function is required to interpret abnormal cardiac conditions. Thus, the aim of this review is to provide reference intervals (“normal values”) for morphological and functional CMR parameters of the cardiovascular system based on a systematic review of...
These values defined 90% of the population as normal, but they allowed for abnormal distributions. The 99th confidence interval was also reported for dimensional parameters. Homogeneity statistics were computed to quantify the amount of the residual unexplained variance in true effects across studies (...
A total of 45 subjects participated in the study. One subject from the original 45 subjects decided to withdraw. Two subjects were excluded due to abnormal SCG signals with unidentifiable fiducial points. Thus, a total of 42 SCG signals were included in the study. For one subject the signal ...
Consistent results were obtained in liquid cultures lacking vanil- late (Fig. 6b), and several cells of the mutants growing poorly at 25 °C had the abnormal elongated morphology (Fig. 6c). Again, the cold sensitivity does not appear to be due to protein instability (Fig. 6d),...
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
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 ...
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 in MIT-BIH Arrhythmias database with the overall accuracy of 94.44%. In Apnea-ECG database, 96%...