The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Machine learning (ML) has been well recognized as an effective tool for researchers to handle the problems in signal and image processing.Machine learning is capable of offering automatic learning techniques to excerpt common patterns from empirical data and then make sophisticated decisions, based on the learned behaviors. Medicine has a large dimensionality of data and the medical application...

High performance in the epileptic electroencephalogram (EEG) signal classification is an important step diagnosing epilepsy. Furthermore, this carried out to determine whether EEG from a person's examination results categorized as or not (healthy). Several automated techniques have been proposed assist neurologists classifying these signals. In general, yielded high average accuracy classificat...

AbstractAccuracy in identifying the subjects’ intentions for moving their different limbs from EEG signals is regarded as an important factor in the studies related to BCI. In fact, the complexity of motor-imagination and low amount of signal-to-noise ratio for EEG signal makes this identification as a difficult task. In order to overcome these complexities, many techniques such as variou...

The analysis of EEG signals plays a vital role in the detection of Seizure. The EEG signal of a normal person varies when compared to that of a seizure affected person. A new wavelet is created which closely represents a normal EEG wave. The discrete wavelet transform using the new wavelet family is applied to the input EEG signals. Since the new wavelet represents the normal EEG wave pattern t...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Introduction: Clinicians use several computer-aided diagnostic systems for depression to authorize their diagnosis. An electroencephalogram  (EEG) may be used as an objective tool for early diagnosis of depression and controlling it from reaching a severe and permanent state. However, artifact contamination reduces the accuracy in EEG signal processing systems. Methods: This work proposes a no...

EEG contains a wealth of physiological, psychological and pathological information, EEG signal analysis and processing are either in clinical of some brain disease diagnosis and treatment, or in the cognitive science research fields are very important. According to the basic characteristics of EEG signal, discusses the EEG signal acquisition principle, method and the design train of thought. Pr...

-Electroencephalography is the simple method of recording and measuring electrical activity of brain. This brain signal is amplified and resulting in electroencephalogram (EEG). EEG is non-invasive tool used in monitoring brain activities and diagnosis of many neurological disorder. The main challenge of EEG is the small signal amplitude and its sensitivity to noise because of which it demands ...