We developed a QRS detection algorithm which uses a Fuzzy Neural Network CF") to process lead I1 recordings of the ECG. We trained and tested our algorithm using the MITDIH arrhythmia database, and compared our results to existing algorithms. For tapes 100, 105 and 108, our FNN reduced the total number of combined false-positive and false-negative detections from 174 to 44.
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