Sleep spindles are burstlike signals in the electroencephalogram (EEG) of the sleeping
mammalian brain and electrical surface correlates of neuronal oscillations in thalamus. As …

The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …

The detection of recorded epileptic seizure activity in EEG segments is crucial for the
localization and classification of epileptic seizures. However, since seizure evolution is …

Epilepsy is a neurological disorder with prevalence of about 1-2% of the world's population
(Mormann, Andrzejak, Elger & Lehnertz, 2007). It is characterized by sudden recurrent and …

The epilepsies are a heterogeneous group of neurological disorders and syndromes
characterised by recurrent, involuntary, paroxysmal seizure activity, which is often …

Epilepsy is a chronic neurological condition that affects approximately 70 million people
worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as …

In this study, we propose an automatic system to diagnose congestive heart failure using
short-term heart rate variability analysis. The system involves a multi-stage classifier. The …

Epilepsy is a chronic disorder that causes unprovoked, recurrent-seizures. Characteristic
spikes are often observed in the electroencephalogram (EEG) of epileptic patients in order …

The EEG signal consist various frequency bands, which represents human activities like
emotion, attention sleep stage etc. For the detection of epileptical seizures, it is required to …

A novel framework for joint detection of sleep spindles and K-complex events, two hallmarks
of sleep stage S2, is proposed. Sleep electroencephalography (EEG) signals are split into …