Seizure Prediction and Detection via Phase and Amplitude Lock Values
نویسندگان
چکیده
منابع مشابه
Seizure Prediction and Detection via Phase and Amplitude Lock Values
A robust seizure prediction methodology would enable a "closed-loop" system that would only activate as impending seizure activity is detected. Such a system would eliminate ongoing stimulation to the brain, thereby eliminating such side effects as coughing, hoarseness, voice alteration, and paresthesias (Murphy et al., 1998; Ben-Menachem, 2001), while preserving overall battery life of the sys...
متن کاملSeizure Detection and Prediction Algorithms
Research in automatic analysis of EEG for supporting the diagnosis of epileptic seizures took pace in the 1970s. Prior et al [45] suggested the use of a device called cerebral function monitor to demarcate generalized tonic-clonic seizures. These could be identified as a large increase in EEG amplitude followed by an observable decrease and by large EMG activity. Method described by Ives et al ...
متن کاملEnhanced phase and amplitude synchronization toward focal seizure offset.
Recent studies involving individual neurons in the seizure focal and surrounding areas have established heterogeneous firing patterns in single cells. However, the patterns become more homogeneous approaching the seizure offset. In this article, we show that similar observations are possible from intracranial recording if the right quantitative or engineering techniques are used. We have observ...
متن کاملPrediction and Detection of Epileptic Seizure
Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as fractures, submersion, burns, motor vehicle accidents and even death. It is highly possible to prevent these unwanted situations if we can predict/det...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2016
ISSN: 1662-5161
DOI: 10.3389/fnhum.2016.00080