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Epileptic seizures are generated by an abnormal synchronization of neurons. Since epileptic seizures are unforeseeable for the patients, epileptic seizures detection is an interesting issue in epileptology, that novel approaches to understand the mechanism of epileptic seizures. In this study we analyzed invasive electroencephalogram (EEG) recordings in patients suffering from medically intractable...
In this paper, we present a seizure detector that is part of an implantable CMOS integrated device intended to identify seizure onsets and trigger focal treatment to disrupt seizure progression. The detector consists of a preamplifier, voltage level detectors, digital demodulators and a high-frequency detector. Variable gain amplification, adjustable threshold voltage identification and tunable recognition...
To diagnose the structural disorders of brain, electroencephalography (EEG) is routinely used for observing the epileptic seizures in neurology clinics, which is one of the major brain disorders till today. In this work, we present a new, EEG-based, brain-state identification method which could form the basis for detecting epileptic seizure. We aim to classify the EEG signals and diagnose the epileptic...
Epileptic electroencephalogram data contains transient components and background activities. One of the transients is spike, which occurs randomly with short-duration. Spike detection in EEG is significant for clinical diagnosis of epilepsy. Since it is time consuming to scan spikes manually, an automatic spike detection method is necessary. In this paper, we introduce an automatic spike detection...
This work is concerned with the development of a special equipment to monitor the brain waves of the patients even when he is under mobility in his locality and transmit them to the hospital or any monitoring station and record the electroencephalogram (EEG) of those patients and to diagnose the presence of epileptic seizures if any with an intelligent software and to store these details which may...
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