This paper proposes a new hybrid algorithm for secure communication applications. The proposed includes fuzzy brain emotional learning controller (FBELC), recurrent cerebellar model articulation (RCMAC), and robust compensator (RC). main brain-imitated neural network is combination of the RCMAC FBELC, which mathematical that approximates decision activity human brain. A inference system also me...

Brain-computer interfaces (BCIs) can convert mental states into signals to drive real-world devices, but it is not known if a given covert task is the same when performed with and without BCI-based control. Using a BCI likely involves additional cognitive processes, such as multitasking, attention, and conflict monitoring. In addition, it is challenging to measure the quality of covert task per...

An electroencephalogram (EEG) is a recording of various frequencies electrical activity in the brain. EEG signal very useful for diagnosis brain related diseases at early stage to prevent severe issues which may lead loss life. The raw captured through leads contain different type noises not susceptible diagnosis. In this paper, an efficient algorithm proposed process combat noise. To obtain no...

The human brain is considered as one of the most powerful quantum computers and combining with technology can even outperform artificial intelligence. Using a Brain-Computer Interface (BCI) system, signals be analyzed programmed for specific tasks. This research work employs BCI medical application that gives unfortunate paralyzed individuals capability to interact their surroundings solely usi...

Brain–Computer Interfaces (BCIs) provide a nonmuscular channel to communicate with the outside world by means of brain activity. A crucial step for efficient BCI operation is brain signal processing methods. Most BCI systems for humans use scalp recorded electroencephalographic activity, whereas Electrocorticography (ECoG) is a minimally-invasive alternative to electroencephalogram (EEG), provi...

Posttraumatic stress disorder (PTSD) is a disorder of emotional and mental stress occurring as an outcome of injury or severe emotional shock. Several Neuroimaging studies in humans have shown the functions and relationship between the anatomical changes of brain and PTSD. The three major areas of the brain are affected by PTSD .These three areas are the amygdala, hippocampus and prefrontal cor...

• We were able to evaluate autonomic nervous activity using near-infrared spectroscopy. Heartbeat-related signals extracted from the signal-processed total hemoglobin data correlated well with R-R intervals. Heart-rate variability parameters had a high correlation between spectroscopy and electrocardiogram.. Near-infrared (NIRS) is widely used for brain-function imaging, but raw signal also enc...

Introduction Many features, emerging from mathematical techniques, have been used in the analysis of brain signals. In this study, the physical quantity of “moment of inertia” (MOI) was introduced as a feature to enhance high-frequency waves (HFWs) in electroencephalography (EEG). Materials and Methods In this research, the recorded EEGs from F3, F4, and Cz points in 20 males were used. A total...

It has been shown recently that a significant portion of brain electrical field potentials consists of scale-free dynamics. These scale-free brain dynamics contain complex spatiotemporal structures and are modulated by task performance. Here we show that the fMRI signal recorded from the human brain is also scale free; its power-law exponent differentiates between brain networks and correlates ...