Zhen-Xing Zhang

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In past years, the Principal Component Analysis (PCA) has been applied to select features for classification applications. This paper presents a performance comparison between PCA and Non-overlap Area Distribution Measurement (NADM), which is based on a neural fuzzy network. This paper performs an experiment on Normal Sinus Rhythm (NSR) and Ventricular(More)
This paper presents a real-time algorithm for a mobile cardiac monitoring system to detect life-threatening arrhythmias. This detection algorithm focuses on two life-threatening arrhythmias ventricular tachycardia and fibrillation (VT/VF), which are detected through the application of pre-detection processing and main detection processing. In pre-detection(More)
Emotion recognition based on a speech signal is one of the intensively studied research topics in the domains of human-computer interaction and affective computing. The presented paper is concerned with emotional-speech recognition based on the neuro-fuzzy network with a weighted fuzzy membership function (NEWFM). NEWFM has a feature selection method and(More)
Recent research indicates a significant association that the severity of fatigue and the autonomic nervous system (ANS) by analyzing the heart rate variability (HRV). In order to detect fatigue, an experiment that provides the subjects with some affective contents that can induce the variety of emotions and ANS was designed in this study. Each subject(More)
The ventricular arrhythmias including ventricular tachycardia (VT) and ventricular fibrillation (VF) are life-threatening heart diseases. This paper presents an approach to detect normal sinus rhythm (NSR) and VF/VT using the neural network with weighted fuzzy membership functions (NEWFM). NEWFM classifies NSR and VF/VT beats by the trained bounded sum of(More)
This paper compares the forecasting performance of the feature extraction using the principal component analysis (PCA) that is one of the oldest and best known techniques in multivariate analysis with the feature selection using the non-overlap area distribution measurement method based on the neural network with weighted fuzzy membership functions (NEWFM).(More)
Proper rhythm of the heart of a human is of utmost importance for his survival so that there is proper oxygen supply throughout the body for proper functioning of all body parts. However, Ventricular Tachycardia(VT) and Ventricular Fibrillation(VF) are irregular cardiac rhythms that are life threatening and hence their accurate detection is very necessary.(More)