Improving the speed and accuracy of arrhythmia classification based on morphological features of ECG signal

Subject Areas : Majlesi Journal of Telecommunication Devices

Kamran Dehgany habib abadi ¹ , Mohammad Yousefi ²

1 - Department of electrical Engineering, Islamic Azad University, Najaf abad Branch, Isfahan, Iran
2 - Najafabad Branch, Islamic Azad University

Received: 2020-11-13 Accepted : 2020-12-17 Published : 2020-12-01

Keywords:

References:

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