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Robust algorithm for arrhythmia classification in ECG using extreme learning machine
Robust algorithm arrhythmia classification ECG extreme learning machine
2010/2/25
The experimental results of the entire MIT-BIH arrhythmia database demonstrate that the performances of the proposed algorithm are 98.00% in terms of average sensitivity, 97.95% in terms of average sp...