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    Time-Series Anomaly Detection Based on Dynamic Temporal Graph Convolutional Network for Epilepsy Diagnosis
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    Abstract:
    Electroencephalography (EEG) is typical time-series data. Designing an automatic detection model for EEG is of great significance for disease diagnosis. For example, EEG stands as one of the most potent diagnostic tools for epilepsy detection. A myriad of studies have employed EEG to detect and classify epilepsy, yet these investigations harbor certain limitations. Firstly, most existing research concentrates on the labels of sliced EEG signals, neglecting epilepsy labels associated with each time step in the original EEG signal—what we term fine-grained labels. Secondly, a majority of these studies utilize static graphs to depict EEG’s spatial characteristics, thereby disregarding the dynamic interplay among EEG channels. Consequently, the efficient nature of EEG structures may not be captured. In response to these challenges, we propose a novel seizure detection and classification framework—the dynamic temporal graph convolutional network (DTGCN). This method is specifically designed to model the interdependencies in temporal and spatial dimensions within EEG signals. The proposed DTGCN model includes a unique seizure attention layer conceived to capture the distribution and diffusion patterns of epilepsy. Additionally, the model incorporates a graph structure learning layer to represent the dynamically evolving graph structure inherent in the data. We rigorously evaluated the proposed DTGCN model using a substantial publicly available dataset, TUSZ, consisting of 5499 EEGs. The subsequent experimental results convincingly demonstrated that the DTGCN model outperformed the existing state-of-the-art methods in terms of efficiency and accuracy for both seizure detection and classification tasks.
    Objective:To discuss the relationship between cerebrovascular disease (CVD) and its secondary epilepsy. Methods:66 cases of cerebrovascular disease with epilepsy were summarized and analysed.Results:Among the patients,there were 43 cases of early epilepsy,23 cases of late epilepsy.Most lesion location existed in the cerebral lobe(47/66).Most of them showed overall onset of epilepsy;however,after medication,having better therapeutic effects.Conclusion:Cerebrovascular disease is one of the main causes in secondary epilepsy.Most patients with early epilepsy needn't take antiepileptic drugs for a long time, but patients with late epilepsy have to.The death rate of the patients with cerebrovascular disease in acute epilepsy onset group are higher than that in non-epilepsy group,and sustaining status of epilepticus shows that patient's condition was serious and had poor prognosis.
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    To compare the quality of electroencephalography (EEG) signals recorded with a rapid response EEG system and the signals recorded with conventional clinical EEG recordings.We studied the differences between EEG recordings taken with a rapid response EEG system (Ceribell) compared to conventional EEG through two separate set of studies. First, we conducted simultaneous recording on a healthy subject in an experimental laboratory setting where the rapid response EEG and two conventional EEG recording systems (Nihon Kohden and Natus) were used at the same time on the same subject using separate but adjacently placed electrodes. The rapid response EEG was applied by a user without prior training in EEG set up while two separate sets of conventional EEG electrodes were placed by a trained EEG technologist. The correlation between each of the recordings was calculated and quantitatively compared. In the second study, we performed a set of consecutive recordings on 22 patients in an ICU environment. The rapid response EEG system was applied by clinical ICU fellows without prior training in EEG set up while waiting for the conventional EEG system to arrive, after which the rapid response EEG was stopped and the conventional EEG was applied by a trained EEG technologist. We measured and compared several metrics of EEG quality using comparative metrics.For the simultaneous recording performed in a laboratory environment, the tested rapid response EEG and conventional EEG recordings showed agreement when aligned and visually compared in the time domain, all EEG waveform features were distinguishable in both recordings. The correlation between each pair of recordings also showed that the correlation between the rapid response EEG recording and each of the two conventional recordings was statistically the same as the correlation between the two conventional recordings. For the consecutive recordings performed in real life clinical ICU environment, Hjorth parameters, spike count, baseline wander, and kurtosis measures were statistically similar (p > 0.05, Wilcoxon signed rank test) for the rapid response EEG and conventional clinical EEG recordings. The rapid response EEG data had significantly lower 60 Hz noise compared to recordings made with the conventional systems both in laboratory and ICU settings. Lastly, the clinical information obtained with the rapid response EEG system was concordant with the diagnostic information obtained with the conventional EEG recordings in the ICU setting.Our findings show that the tested rapid response EEG system provides EEG recording quality that is equivalent to conventional EEG systems and even better when it comes to 60 Hz noise level. The concordance between the rapid response EEG and conventional EEG systems was demonstrated both in a controlled laboratory environment as well as in the noisy environment of a hospital ICU on patients with altered mental status.Our findings clearly confirm that the tested rapid response EEG system provides EEG data that is equivalent in quality to the recordings made using conventional EEG systems despite the fact that the rapid response system can be applied within few minutes and with no reliance on specialized technologists. This can be important for urgent situations where the use of conventional EEG systems is hindered by the lengthy setup time and limited availability of EEG technologists.
    EEG-fMRI
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    People with epilepsy suffer from a considerable lack of physical activity. In addition, an important problem of epilepsy management is the lack of qualified professionals. In this study we present data from a survey which aimed to assess physical educators' general knowledge about epilepsy. One hundred and thirty four physical educators of both sexes answered a questionnaire. Sixty percent of the professionals believe that a seizure is an abnormal electrical discharge of the brain, 13% that epilepsy is a cerebral chronic disease that can not be cured or controlled, 84% that people having convulsions will not necessarily present epilepsy and 5% that people with epilepsy have difficulties of learning. Questions concerned previous professional experience with epilepsy showed that 61% have seen a seizure and 53% have access to some information about epilepsy. Thus, 28% of professionals have a friend or relative with epilepsy, 14% have a student with epilepsy, and 29% helped someone during seizures. Our findings reveal a lack of physical educators' appropriate knowledge about epilepsy. Improvement of this might contribute to the improvement of epilepsy care/management.
    Health Professionals
    On the basis of the prospective study, concerning 100 children of mothers with epilepsy, observed in the first decade, it was established that epilepsy appeared more often in this period than it was reported in the retrospective studies. The frequency of epilepsy amounted 7%. The pregnant-perinatal negative factors in mothers whose children suffered from epilepsy, weren't essentially larger than in other mothers with epilepsy. The occurrence of epilepsy in mothers till 10 year's of age increases the risk of early appearance of epilepsy in offspring essentially (p < 0.05). The epilepsy with absence seizures in mothers is related to the increased number of children with epilepsy in the first decade significantly more often than the epilepsy only with generalized tonic-clonic seizures (p < 0.012). Among the children with epilepsy, there were cases with the same type as in mothers epilepsy (absence), and with other generalized idiopathic epileptic syndromes (West syndrome, Dose syndrome, epilepsy with tonic-clinic seizures). The course of epilepsy in offspring of mothers with epilepsy was typical for the relevant epileptic syndroms appearing in childhood.
    Epilepsy syndromes
    Epilepsy in children
    Generalized epilepsy
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    Importance

    Prevention of new-onset epilepsy is an important public health issue and presents a pressing unmet need. It is unclear whether progress has been made in preventing new-onset epilepsy.

    Objective

    To determine whether progress has been made in the prevention of epilepsy in Finland during the last 40 years.

    Design, Setting, and Participants

    Using a long-term national register study of 5.04 million Finnish individuals, we looked at first-time inpatient admissions in Finland for a diagnosis of epilepsy from 1973 to 2013. Patients with epilepsy were defined by the occurrence of 2 or more unprovoked seizures. This study was conducted on July 29, 2015.

    Main Outcomes and Measures

    In Finland, patients with epilepsy are routinely hospitalized at time of diagnosis, thus providing evidence for the incidence of epilepsy.

    Results

    Of the mean 5.04 million Finnish individuals followed up for the development of epilepsy from 1973 to 2013, 100 792 people were identified as having epilepsy. Of these, 46 995 (47%) had focal epilepsy. The mean age for those included in the study was 45 years for men (interquartile range, 24-65 years) and 46 years for women (interquartile range, 23-71 years). We found no change in the incidence of epilepsy in the age range of those younger than 65 years (60 per 100 000 in 1973 and 64 per 100 000 in 2013). However, there was a significant increase in epilepsy among those older than 65 years (from 57 per 100 000 to 217 per 100 000).

    Conclusions and Relevance

    We found no evidence that progress has been made in preventing new-onset epilepsy in those younger than 65 years in the last 40 years; in fact, there was a nearly 5-fold rise of new-onset epilepsy among the elderly population.
    Interquartile range
    Abstract Anyone can develop epilepsy, and about one in a hundred people does. This makes epilepsy as common as diabetes or rheumatoid arthritis. However, people talk much less about epilepsy than about these other conditions. This picture shows 120 people. If they were typical of the whole population, one or two should have epilepsy. Most people with epilepsy would lead a normal life if only people without epilepsy would let them. Unfortunately, many are prejudiced about epilepsy. This book is for people with epilepsy and for people who live or work with them. It is written to inform people about epilepsy. It is meant to explain the causes and treatment of epilepsy. It is meant to be understood by everyone. Other medical conditions, tuberculosis for instance, particularly affect poor people. There are also diseases that are more common in rich people. Epilepsy affects rich and poor alike. A person can develop epilepsy when he or she is a baby, a young adult, or in older age.
    Affect
    PART ONE 1. What is epilepsy? 2. The physical causes and emotional triggers of epilepsy 3. How epilepsy is diagnosed - or should be 4. So, if it isn't epilepsy, what is it? 5. The risks of seizures 6. The management of epilepsy 7. The drugs in use: Pros and cons 8. Other treatments, other problems PART TWO - BEING A WOMAN, HAVING EPILEPSY 9. Being a woman - having epilepsy 10. Epilepsy and sexuality 11. Contraception, epilepsy and epilepsy treatment 12. Epilepsy and fertility 13. Pre-conception counselling 14. Pregnancy 15. Labour, birth and the immediate aftermath 16. Childcare 17. The premenopause, the perimenopause, and the menopause 18. The older woman 19. Being a woman, having epilepsy: Harriet's story Appendix 1 Drugs for epilepsy Appendix 2 Where else to find help and information
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