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Standard Electrocardiogram (ECG) database is prepared for testing the performance of automatic detection and classification algorithms. At present, there are three mainstream standard databases used by computer-aided ECG diagnosis researchers: MIT-BIH arrhythmia database, CSE multi-lead database and AHA database. By the progress of ECG in both equipment and diagnosis theory, fatal deficiency was found...
In this work, a new method for ectopics removal from ECG recordings is proposed. The method distinguish between normal and ectopic beats through a forward/backward level windowing strategy. Next, by using an adaptive correlation index, the 15 most similar ectopic beats to the one under cancellation are clustered, thus serving to get their eigenvector matrix by singular value decomposition. Finally,...
The intelligence of human being includes three aspects, i.e. mathematics computing, logic computing and imagery thinking. There exists extraordinary unequal understanding between abstract thinking and imagery thinking while too less result on imagery thinking is ready. Simulating imagery thinking on the basis of expert experience is alternative. In the paper, Electrocardiogram recognition based on...
The authors present the design of a real-time automated arrhythmia detection system using five diagnostic variables; heart rate, QRS width, morphology, axis deviation, and ST segment. This system is based on a 16-bit microcomputer and includes a bandpass filter, ECG amplifier, QRS detector, 12-bit A/D converter, preprocessor, and main processor. The arrhythmias obtained from two types of ECG simulators...
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