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      Evaluation of Wearable Epileptic Seizure Monitors

      Proceedings of the 33rd International BCS Human Computer Interaction Conference (BCS HCI 2020)

      Human Computer Interaction

      6 July 2020

      Wearable devices, Health technology, Usability, Epilepsy, Seizure detection

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          Abstract

          Wearable health devices that detect epileptic seizures have the potential to hail timely assistance for individuals, inform their treatment and assist care and self-management. New wearable seizuredetecting devices are becoming available to individuals, carers and researchers but there is scope for improvements in device performance and for more evaluations in the research literature. This position paper outlines research that includes a review of the evaluation literature and both quantitative and qualitative device evaluations.

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          Drug-Resistant Epilepsy and Surgery

          Background: Epilepsy is a chronic brain disease that is caused by various factors and characterized by recurrent, episodic and temporary central nervous system dysfunction which results due to excessive discharge of brain neurons. In the past decades, despite the continuous development of antiepileptic drugs, there are still many patients with epilepsy progressing to drug-resistant epilepsy. Currently, surgical treatment is one of important way to cure drug-resistant epilepsy. Methods: Data were collected from Web of Science, Medline, Pubmed, through searching of these keywords: “surgery” and “drug-resistant epilepsy”. Results: An increasing number of studies have shown that surgery plays an important role in the treatment of drug-resistant epilepsy. Moreover, the comprehensive treatment mainly based on surgery can achieve the remission and even cure of drug-resistant epilepsy. Conclusion: In this review, we discuss the pathogenesis of drug-resistant epilepsy and the comprehensive treatment mainly based on surgery; this review may provide a reference for the clinical treatment of drug-resistant epilepsy.
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            Evaluation of Wearable Electronics for Epilepsy: A Systematic Review

            Epilepsy is a neurological disorder that affects 50 million people worldwide. It is characterised by seizures that can vary in presentation, from short absences to protracted convulsions. Wearable electronic devices that detect seizures have the potential to hail timely assistance for individuals, inform their treatment, and assist care and self-management. This systematic review encompasses the literature relevant to the evaluation of wearable electronics for epilepsy. Devices and performance metrics are identified, and the evaluations, both quantitative and qualitative, are presented. Twelve primary studies comprising quantitative evaluations from 510 patients and participants were collated according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Two studies (with 104 patients/participants) comprised both qualitative and quantitative evaluation components. Despite many works in the literature proposing and evaluating novel and incremental approaches to seizure detection, there is a lack of studies evaluating the devices available to consumers and researchers, and there is much scope for more complete evaluation data in quantitative studies. There is also scope for further qualitative evaluations amongst individuals, carers, and healthcare professionals regarding their use, experiences, and opinions of these devices.
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              Enhancing the explanatory power of usability heuristics.

               Jakob NIELSEN (1994)
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                Author and article information

                Contributors
                Conference
                July 2020
                July 2020
                : 70-72
                Affiliations
                Keele University

                Keele, UK
                Article
                10.14236/ewic/HCI20DC.18
                © Rukasha. Published by BCS Learning & Development. Proceedings of the BCS HCI Doctoral Consortium 2020. Keele University, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 33rd International BCS Human Computer Interaction Conference
                BCS HCI 2020
                33
                Keele University, UK
                6 July 2020
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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