Schizophrenia (SZ) is a severe mental disorder characterized by behavioral imbalance and
impaired cognitive ability. This paper proposes a local descriptors-based automated …

Empirical wavelets transform (EWT) is a fully adaptive signal-analysis approach, which is
similar to the empirical mode decomposition (EMD) but has a consolidated mathematical …

In the clinical environment, medical imaging plays a prominent role in assisting
radiologists/doctors. The information present in the images is crucial especially during the …

This chapter provides essential information about electroencephalography (EEG) signal
analysis for the brain–computer interface (BCI). The BCI translates the brain activity signals …

Motion artifacts reduce the quality of information in the electroencephalogram (EEG) signals.
In this study, we have developed an effective approach to mitigate the motion artifacts in …

In this paper, we propose a novel method for detecting electrocardiographic (ECG) changes
in partial epileptic patients using a composite feature set. At the core of our approach is a …

Schizophrenia is one of the most complex of all mental diseases. In this paper, we propose a
symmetrically weighted local binary patterns (SLBP)-based automated approach for …

In voice analysis, the electroglottographic (EGG) signal has long been recognized as a
useful complement to the acoustic signal, but only when the vocal folds are actually …

摘要针对自然场景中中文文本的提取效率不足的问题, 提出了一种基于ISODATA
聚类和支持向量机(SVM) 结合的自然场景中文文本提取算法. 根据文本颜色和笔画的特征通过 …

摘要为了更好地提取结构损伤特征信息, 提出了基于经验小波变换(EWT) 和希尔伯特变换的振动
信号分析方法. 首先, 用EWT 对结构损伤加速度振动信号的频谱进行自适应分割 …