introduction: according to role of emotions in human’s life, if they can be recognized contemporary with facial expression by eeg signals, it can discriminate between real abd artificial emotions. this ability can be applied in lie detector and be also helpful to patients that able to feel emotions but can’t show it with facial expression. methods: in this study, some emotion induction experime...

Electric potentials generated by mechanical strain of bones (SGPS: strain generated potentials) are one of the cofactors, which determine the adaptive remodelling processes in bone tissue [1,12,14]. The significance of the potentials SGPs in bone tissue biodynamics results from the electrosensivity of bone cells membranes via the Ca voltage-gated channels [7], Fig.1a. Bioelectric signals are al...

In this paper a new method of maternal electrocardiogram suppression for fetal component extraction from one-channel maternal abdominal bioelectric signals is proposed. The method performs maternal ECG estimation by application of state-space averaging. The estimated signal is subtracted from the original one and this way suppressed. The method parameters allow us to balance between the precisi...

This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...

Analyzing signal and noise for any sensory system requires an appreciation of the biological and physical milieu of the animal. Behavioral studies show that elasmobranchs use their electrosensory systems extensively for prey detection, but also for mate recognition and possibly for navigation. These biologically important signals are detected against a background of self-generated bioelectric f...

Electrocardiogram (ECG) signals are analysed using the nonlinear method of recurrence plots, which reveals subtle time correlations in time-domain signals. Large-scale features in the recurrence plots, which consist entirely of single dots, line segments of different orientations and white spaces, are directly related to time-domain features in the original signals. The relationship between rec...

Abstract-Now medical treatments are supported by computerized process. Biomedical signal recorded from the human body give many valuable information about the human body organ’s biological activities. These signals are time varying and non-stationary in nature. But many time these biomedical signals are contaminated with drift and interferences caused by bioelectric phenomena, or by power line ...

The hybrid assistive limb (HAL) exoskeleton provides rehabilitation of the motor skills of chronic spinal chord injury (SCI) patients as well as alleviation of chronic neuropathic pain (CNP). The HAL device uses bioelectric signals to activate robotic support of voluntary movement during bodyweight supported treadmill training (BWSTT).