| Measurement and quantification of generalized tonic-clonic seizures in epilepsy patients by means of accelerometry-An explorative study. | |
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MedLine Citation:
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PMID: 21450442 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Epilepsy is one of the most common neurological diseases, which has a cumulative lifetime incidence of 3%. Two to threefold increased morbidity and mortality rates are reported, especially if generalized tonic-clonic seizures (GTCS) occur. A wireless small and user-friendly detection system would be helpful in early identification of seizures. This could minimize the risk of seizure-related injuries and further allow complete seizure frequency documentation, especially in a non-clinical private setting. The aim of our study was to develop a design and to conduct an exploratory validation of an accelerometry (ACM)-based detection system for GTCS detection in real-time. Patients were recruited via the Epilepsy Monitoring Unit at the Department of Neurology, Medical University Innsbruck. In three out of 20 patients, four GTCS could be recorded. The ACM sensors recorded increased activities at the stated seizure time, which clearly differed from everyday movements. The temporary sensitivity (100%), specificity (≥88%) and the positive predictive value (≥75%) of the detection suggests a promising alarm/false alarm ratio. The validity of the detection device has to be evaluated with more data in order to be able to significantly confirm the positive results and to further develop a cut-off algorithm for automatic seizure detection. |
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Authors:
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Eva Schulc; Iris Unterberger; Samrend Saboor; Johannes Hilbe; Markus Ertl; Elske Ammenwerth; Eugen Trinka; Christa Them |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-3-28 |
Journal Detail:
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Title: Epilepsy research Volume: - ISSN: 1872-6844 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-3-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8703089 Medline TA: Epilepsy Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Private University of Health Sciences, Medical Informatics and Technology (UMIT), Department of Nursing Science and Gerontology, Hall, Austria. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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