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Neural Network ECG Arrhythmia Detection by pravallikareddy4545 is a document available to read on EtoBox.

The paper presents a method for detecting cardiac arrhythmias using neural networks to analyze heart rate variability signals, aiming to enhance the reliability of cardiovascular disease diagnoses. It discusses the limitations of classical ECG analysis methods and proposes a multilayer perceptron classifier that processes rhythmograms and extracts key heart rate variability parameters. The results indicate high diagnostic accuracy, suggesting the potential for automated ECG analysis systems in clinical sett

Author

pravallikareddy4545

Language

EN