Cardiac Arrhythmia Diagnosis with an Intelligent Algorithm using Chaos Features of Electrocardiogram Signal and Compound Classifier

E. Zarei; N. Barimani; G. Nazari Golpayegani

Volume 10, Issue 4 , November 2022, , Pages 515-527

  Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying intelligent algorithms in this area, leads into the reduction of the ECG signal processing time by the physician as well as reducing the probable mistakes caused by fatigue of the specialist. The purpose of this study ...  Read More

H.3.15.2. Computational neuroscience
An Emotion Recognition Approach based on Wavelet Transform and Second-Order Difference Plot of ECG

A. Goshvarpour; A. Abbasi; A. Goshvarpour

Volume 5, Issue 2 , July 2017, , Pages 211-221

  Emotion, as a psychophysiological state, plays an important role in human communications and daily life. Emotion studies related to the physiological signals are recently the subject of many researches. In This study a hybrid feature based approach was proposed to examine affective states. To this effect, ...  Read More