QRS检测采用模糊神经网络

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society Pub Date : 1995-09-20 DOI:10.1109/IEMBS.1995.575064

K. P. Cohen, W. Tompkins, A. Djohan, J. Webster, Y.H. Hu

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引用次数: 14

摘要

我们开发了一种QRS检测算法，该算法使用模糊神经网络(FNN)处理心电导联II记录。我们使用MIT/BIH心律失常数据库训练和测试我们的算法，并将我们的结果与现有算法进行比较。对于磁带100、105和108，我们的FNN将假阳性和假阴性检测的总数从174个减少到44个。

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QRS detection using a fuzzy neural network

We developed a QRS detection algorithm which uses a fuzzy neural network (FNN) to process lead II recordings of the ECG. We trained and tested our algorithm using the MIT/BIH 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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Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society

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