Epileptic seizures are known for their unpredictable nature.However,recent research provides that the transition to seizure event is not random but the result of evidence accumulations.Therefore,a reliable method capa...Epileptic seizures are known for their unpredictable nature.However,recent research provides that the transition to seizure event is not random but the result of evidence accumulations.Therefore,a reliable method capable to detect these indications can predict seizures and improve the life quality of epileptic patients.Seizures periods are generally characterized by epileptiform discharges with different changes including spike rate variation according to the shapes,spikes,and the amplitude.In this study,spike rate is used as the indicator to anticipate seizures in electroencephalogram(EEG) signal.Spikes detection step is used in EEG signal during interictal,preictal,and ictal periods followed by a mean filter to smooth the spike number.The maximum spike rate in interictal periods is used as an indicator to predict seizures.When the spike number in the preictal period exceeds the threshold,an alarm is triggered.Using the CHB-MIT database,the proposed approach has ensured92% accuracy in seizure prediction for all patients.展开更多
Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms d...Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical展开更多
High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced...High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced considerably over the past decade,and the use of scalp EEG facilitates recordings of HFOs.HFOs were initially applied in large scale in epilepsy surgery and are now being utilized in other applications.In this review,we summarize applications of HFOs in 3 subtopics:(1)HFOs as biomarkers to evaluate epilepsy treatment outcome;(2)HFOs as biomarkers to measure seizure propensity;(3)HFOs as biomarkers to reflect the pathological severity of epilepsy.Nevertheless,knowledge regarding the above clinical applications of HFOs remains limited at present.Further validation through prospective studies is required for its reliable application in the clinical management of individual epileptic patients.展开更多
文摘Epileptic seizures are known for their unpredictable nature.However,recent research provides that the transition to seizure event is not random but the result of evidence accumulations.Therefore,a reliable method capable to detect these indications can predict seizures and improve the life quality of epileptic patients.Seizures periods are generally characterized by epileptiform discharges with different changes including spike rate variation according to the shapes,spikes,and the amplitude.In this study,spike rate is used as the indicator to anticipate seizures in electroencephalogram(EEG) signal.Spikes detection step is used in EEG signal during interictal,preictal,and ictal periods followed by a mean filter to smooth the spike number.The maximum spike rate in interictal periods is used as an indicator to predict seizures.When the spike number in the preictal period exceeds the threshold,an alarm is triggered.Using the CHB-MIT database,the proposed approach has ensured92% accuracy in seizure prediction for all patients.
文摘Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical
基金supported by grants from the National Key R&D Program of China(2017YFC1307500 to QW)the Capital Health Research and Development of Special Program(2016-1-2011 and 2020-1-2013 to QW)+2 种基金the Beijing-Tianjin-Hebei Cooperative Basic Research Program(H2018206435 to QW)the Beijing Natural Science Foundation(Z200024 to YGW and QW)the National Natural Science Foundation of China(81801280 to GR,81601126 to JR).
文摘High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced considerably over the past decade,and the use of scalp EEG facilitates recordings of HFOs.HFOs were initially applied in large scale in epilepsy surgery and are now being utilized in other applications.In this review,we summarize applications of HFOs in 3 subtopics:(1)HFOs as biomarkers to evaluate epilepsy treatment outcome;(2)HFOs as biomarkers to measure seizure propensity;(3)HFOs as biomarkers to reflect the pathological severity of epilepsy.Nevertheless,knowledge regarding the above clinical applications of HFOs remains limited at present.Further validation through prospective studies is required for its reliable application in the clinical management of individual epileptic patients.
