Now-a-days Cardio vascular diseases become huge threat to the lifetime of human beings. ECG is one in all the simplest technique to give clear information about cardiac arrhythmia. The electro-cardiogram may be a technique of recording bioelectric currents generated by the heart that is useful for diagnosing several cardiac diseases. The feature extraction and denoising of ECG are extremely use...

Emotion plays an important role in human communications. We construct a framework for multi-modal fusion emotion recognition. Facial expression features and speech features are respectively extracted from image sequences and speech signals. In order to locate and track facial feature points, we construct an Active Appearance Model for facial images with all kinds of expressions. Facial Animatio...

The single cell-centred approach emphasises ion channels as specific proteins that determine individual properties, disregarding their contribution to multicellular outcomes. We simulate the interplay between genetic and bioelectrical signals in non-excitable cells from the local single-cell level to the long range multicellular ensemble. The single-cell genetic regulation is based on mean-fiel...

Hearing impaired listeners heavily rely on facial expressions and unfiltered speech signals for a sufficient understanding. Due to the current Covid-19 pandemic face masks are worn by almost everyone every day. They therefore interfere especially with communication of hearing listeners.

We propose an automatic pose invariant approach for Face Recognition At a Distance (FRAD). Since face alignment is a crucial step in face recognition systems, we propose a novel facial features extraction model, which guides extended ASM to accurately align the face. Our main concern is to recognize human faces under uncontrolled environment at far distances accurately and fast. To achieve this...

The nature of the dynamics of nonverbal interactions is of considerable interest to the study of human communication and future human-computer interaction. Facial expressions constitute an important source of nonverbal social signals. Whereas most studies have focused on the facial expressions of isolated individuals, the aim of this study is to explore the coupling dynamics of facial expressio...

Background. Type 2 diabetes mellitus (T2DM) is a common metabolic disease associated with pathophysiological changes in the neuromuscular system. The present study aimed to investigate effects of 6-week endurance training program on muscle strength, electrophysiological parameters, and functional activities T2DM patients. Methods. period was divided into 6 weeks without training. Twelve patient...

OBJECTIVES This study was designed to investigate the properties of multiple bioelectric impedance signals recorded during congestive heart failure (CHF) by utilizing various electrode configurations of an implanted cardiac resynchronization therapy system. BACKGROUND The monitoring of CHF has relied mainly on right-side heart sensors. METHODS Fifteen normal dogs underwent implantation of c...

This review covers universal patterns in facial preferences. Facial attractiveness has fascinated thinkers since antiquity, but has been the subject of intense scientific study for only the last quarter of a century. Many facial features contribute to facial attractiveness: Averageness and symmetry are preferred by males and females, probably because they signal genetic quality and developmenta...