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Research On Early Diagnosis Of Epilepsy Based On Cortical EEG

Posted on:2015-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:Y C LiFull Text:PDF
GTID:2284330422979649Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Epilepsy is a common chronic neurological disease; global incidence isapproximately1%. Epilepsy to individuals, families, society, brought a heavy burden.Epilepsy can lead to abnormal cognition, emotion and behavior. For a long time is aclinical seizure warning solved a major problem. Conducted on patients with epilepsyattack warning to patients and physicians can provide appropriate protection measurespreclude taking the time to avoid sudden seizures caused by accidental injury.Conducted on patients with epilepsy attack warning to patients and physicians canprovide appropriate protection measures preclude taking the time to avoid suddenseizures caused by accidental injury. Since seizures with sudden and without regularity,thus achieving an early warning of seizures of epilepsy treatment is the key issue tobreak through the bottleneck. Affected by epilepsy seizure type, lesion location, socialand psychological factors, the study found that in recent years have led to anti-epilepticdrug itself damage the nervous system side effects. So look for a way to predict inadvance seizures system is more effective and timely rescue measures giving reasonablepatient can effectively suppress seizures while not affect cognitive function in patients.However, there are shortcomings in the existing methods in advance the amount ofwarning time and error rate, etc., can not be widely used in clinical practice. To solvethis problem, we propose the “space race against time," the seizure monitoring earlywarning information theory.By monitoring the epileptic focus within the local group of epileptic dischargeactivity of neurons, can spread outward in abnormal electrical activity that occurs beforemore synchronous neuronal excitability get early warning information. In order toachieve partial epileptic groups of neurons discharge information collection, we havemastered the use of flexible microelectrode array technology, the development of a newintracranial EEG monitoring methods with high spatial resolution. In order to achievepartial epileptic groups of neurons discharge information collection, we have masteredthe use of flexible microelectrode array technology, the development of a newintracranial EEG monitoring methods with high spatial resolution. In order to achievepartial epileptic groups of neurons discharge information collection, we have mastered the use of flexible microelectrode array technology, the development of a newintracranial EEG monitoring methods with high spatial resolution. Validate andimplement the “space race against time “theory and early warning programs for researchand development of an early warning method of seizures provide a theoretical basis andpractical skills. Experiments show that, based on the stability of the “space race againsttime,“the theory of early warning monitoring seizures feasibility and reliability of theinformation presented, and accordingly EEG analysis done by constructing models ofseizures and reliable early warning sex. Moreover, to seizure warning system model ismore flexible to changes in patients with normal physiological activity is adaptivelychanged, Presents a wireless " implanted child", the use of wireless EEG transmissiondevice for patients with real-time monitoring, the early-warning model establishedcloser to the real situation of the patient, for portable seizure warning device developedto provide a theoretical reference.
Keywords/Search Tags:Seizures early warning, Intracranial EEG monitoring, Warning Model, Flexible microelectrode array
PDF Full Text Request
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