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Home> Schools> University of Wisconsin, Madison> Electrical and Computer Engr (ECE) > ECE 539> ANN Approach to ECG Classification

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UW-Madison ECE 539 - ANN Approach to ECG Classification

School name University of Wisconsin, Madison

Course Ece 539- Introduction to Artificial Neural Network and Fuzzy Systems

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ANN Approach to ECG ClassificationProblem:DATAGoalsANN Approach to ECG ClassificationJoe Krachey12/10/2001ECE 539Problem:Classification of irregular heartbeats via MLP neural network.Application: – Pre-screening of patients for cardiologists–Monitoring/diagnosis equipmentData–Data provided by Massachusetts Institute of Technology and Beth Israel Hospital(MIT/BIH)–Feature vectors provided by Surehka Palreddy–Various data found at physionet.orgDATAInput vector of 9-RR0, RR1, RR2, RR1/RR0-Last 5 input vectors are threshold related.GoalsDetermine a ‘optimal’ MLP network for ECG classificationDetermine if any input vectors are not needed.Compare results with AR or KNN neural

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UW-Madison ECE 539 - ANN Approach to ECG Classification

School: University of Wisconsin, Madison

Course: Ece 539- Introduction to Artificial Neural Network and Fuzzy Systems

Pages: 4

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