No abstract available.
Diagnosis* ; Epilepsy*

No abstract available.
Diagnosis* ; Electroencephalography* ; Epilepsy*

The study was conducted at Hue Central Hospital from 1995 to 1999. Diagnosis of epilepsy was made definitively by clinical examination and ECG, using WHO’s criteria. Age and sex of patients were compared and common causes of epilepsy were identified. It is revealed that epilepsy occupied 13.47% of neurological disease-related admissions and 0.22-0.35% of any cause-disease admissions. 61.84% of the patients with epilepsy are under 20 years of age, 21.92% are 20-40 years of age and 16.24% are upper 40 years of age. The disease is more common in men than females. There was a difference between urban and rural in epilepsy patients who are under 20 years of age. This difference was not existed in the patients who are more than 20 year of age. Rate of total epilepsy is 63%, in which major attack is 95.55%, partial attack is 31.4%, and additional attack is 5.6%. Causes of epilepsy included unknown cause (51.65%), cerebra-meningitis (26.9%), head injuries (20.8%), brain tumors (2.3%), and cerebrovascular events (1.15%).
Epilepsy ; Diagnosis ; Electrocardiography

Epilepsy is the most common paroxysmal disorders seen in the childhood. But other nonepileptic paroxysmal events are confused with epileptic seizures or have unusual clinical features. Nonepileptic paroxysmal disorders tend to recur episodically. So differential diagnosis between epileptic and nonepileptic disorders in fundamental not only to allow correct management of patients and but also avoid of unnecessary antiepileptic medications. To accurate diagnosis of nonepileptic paroxysmal disorders, the patients' age and accurate description of the events are need.
Diagnosis ; Diagnosis, Differential ; Epilepsy ; Humans

In 2005, the ILAE conceptually defined epilepsy as a disorder of the brain, characterized by an enduring predisposition to generate epileptic seizures and by its psychosocial consequences. In clinical practice, this definition of epilepsy is usually taken to mean at least two unprovoked seizures more than 24 h apart. The operational definition for special circumstances that do not meet the criteria of two unprovoked attacks has been recommended. In 2014, the ILAE refined the practical definition of epilepsy. With this definition, epilepsy is a disease of the brain with either: (1) at least two unprovoked (or reflex) seizures occurring more than 24 h apart; (2) one unprovoked (or reflex) seizure and a probability of further seizures similar to the general recurrence risk (at least 60%) after two unprovoked seizures, occurring over the next 10 years; (3) diagnosis of an epilepsy syndrome. Epilepsy is considered to be resolved for individuals past the applicable age of an age-dependent epilepsy syndrome or those who have remained seizure-free for the past 10 years, without seizure medicines for the past 5 years.
Brain ; Diagnosis ; Epilepsy* ; Recurrence ; Seizures

Authors reviewed the clinical features and diagnostic approaches in 70 patients of cysticercosis who had been diagnosed at Seoul National University Hospital from 1978 to 1982. The ages of the 70 patients ranged from 4 to 65 years at the time of the diagnosis (mean age 36.9years) with 62.9 percent between the age 20 and 50 years. Male were more frequently involved than female (2:1). Forty-seven patients (67.1%) presented with neurological symptoms and signs, among which epileptic seizures (66%) was the most common one. Subcutaneous nodules were observed in 36 patients (50.1%) and 24 patients of them had no abnomal clinical findings other than subcutaneous nodules. Computed tomography (CT), employed in 46 patients, showed multiple low densties in 31 patients (67.4%).
Cysticercosis* ; Diagnosis ; Epilepsy ; Female ; Humans ; Male ; Seoul

Authors reviewed the clinical features and diagnostic approaches in 70 patients of cysticercosis who had been diagnosed at Seoul National University Hospital from 1978 to 1982. The ages of the 70 patients ranged from 4 to 65 years at the time of the diagnosis (mean age 36.9years) with 62.9 percent between the age 20 and 50 years. Male were more frequently involved than female (2:1). Forty-seven patients (67.1%) presented with neurological symptoms and signs, among which epileptic seizures (66%) was the most common one. Subcutaneous nodules were observed in 36 patients (50.1%) and 24 patients of them had no abnomal clinical findings other than subcutaneous nodules. Computed tomography (CT), employed in 46 patients, showed multiple low densties in 31 patients (67.4%).
Cysticercosis* ; Diagnosis ; Epilepsy ; Female ; Humans ; Male ; Seoul

Studies have shown that the clinical manifestation of patients with neuropsychiatric disorders might be related to the abnormal connectivity of brain functions. Psychogenic non-epileptic seizures (PNES) are different from the conventional epileptic seizures due to the lack of the expected electroencephalographically epileptic changes in central nervous system, but are related to the presence of significant psychological factors. Diagnosis of PNES remains challenging. We found in the present work that the connectivity between the frontal and parieto-occipital in PNES was weaker than that of the controls by using network analysis based on electroencephalogram (EEG) signals. In addition, PNES were recognized by using the network properties as linear discriminant nalysis (LDA) input and classification accuracy was 85%. This study may provide a feasible tool for clinical diagnosis of PNES.
Brain ; physiopathology ; Electroencephalography ; Epilepsy ; Humans ; Seizures ; diagnosis

Detection of epileptic waves in EEG is particularly helpful in the interpretation of the underlying process in seizures. This study is aimed at providing a new method for automatic detection of epileptic waves through the wavelet analysis of EEGs. It mainly deals with the detection of spikes or spike-waves based on wavelet transform. Since spikes and spike-waves contain high frequency energy, they will be represented in a particular scale localized in a small time window. According to these feature waveforms of epileptic waves, a continuous processing system for epileptic waveforms detection is constructed. We apply discrete wavelet transform on EEGs. Because of the time-frequency domain localization of wavelet transforms, we can get the local maximal positions across several successive dyadic scales of wavelet transform. And these positions indicate the points of sharp transitions in EEGs. Then we calculate the distance between every two successive maximal positions in each scale. This distance stands for the period of subwave. Furthermore, the distribution of subwave periods of each scale can be worked out. Then, comparing the distribution of normal EEG's and epileptic EEG's. The difference between these two waveforms provides us the criteria for automatic detection and classification. In order to reduce the detection workload, we also compare the detection efficiency of each scale. The scale that provides highest accuracy is selected for our automatic detection system. The results presented in this study show that scale 3 provides the best detection accuracy. So, scale 3 is deemed to be the proper scale for automatic detection. This system has the following advantages: (1) Reduced the workload significantly by selecting proper scale(s) for automatic selection; (2) Enhanced the detection accuracy by selecting proper criteria and threshold; (3) Capable of continuous detection; (4) It is also fit for the detection of other biomedical signals. This system showed good performance, and the initial clinical results obtained are also encouraging.
Electroencephalography ; Epilepsy ; diagnosis ; Humans ; Wavelet Analysis

The routine interictal electroencephalogram(EEG) continues to play an important role in the diagnosis and treatment of epilepsy. The clinical investigation of brain disease in the last decade has been marked by dramatic advances in functional imaging. magnetic resonance scanning and digitized EEG. Epilepsy is a disorder of electrical hyperirritability. The sensitivity and specificity of the EEG in the diagosis of epilepsy have been disputed. In this review, the type of EEG also the role of EEG in various clinical situations are summarized.
Brain Diseases ; Diagnosis* ; Electroencephalography* ; Epilepsy* ; Sensitivity and Specificity