کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6008012 1184962 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prospective multi-center study of an automatic online seizure detection system for epilepsy monitoring units
ترجمه فارسی عنوان
مطالعه چند محوری آینده یک سیستم تشخیص خودکار تشنج آنلاین برای واحدهای نظارت بر صرع
کلمات کلیدی
تشخیص صرع تشنج، خودکار آنلاین، پارامتر آزاد، دستگاه هشدار، مطالعه چند بعدی مرکزیت،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
چکیده انگلیسی


- Large prospective multi-center study of an automatic seizure detection system including 205 patients.
- Comparison between two automatic seizure detection systems using the same prospectively recorded dataset.
- Performance numbers on the publicly available CHB-MIT dataset and on 310 retrospective patients datasets.

ObjectiveA method for automatic detection of epileptic seizures in long-term scalp-EEG recordings called EpiScan will be presented. EpiScan is used as alarm device to notify medical staff of epilepsy monitoring units (EMUs) in case of a seizure.MethodsA prospective multi-center study was performed in three EMUs including 205 patients. A comparison between EpiScan and the Persyst seizure detector on the prospective data will be presented. In addition, the detection results of EpiScan on retrospective EEG data of 310 patients and the public available CHB-MIT dataset will be shown.ResultsA detection sensitivity of 81% was reached for unequivocal electrographic seizures with false alarm rate of only 7 per day. No statistical significant differences in the detection sensitivities could be found between the centers. The comparison to the Persyst seizure detector showed a lower false alarm rate of EpiScan but the difference was not of statistical significance.ConclusionsThe automatic seizure detection method EpiScan showed high sensitivity and low false alarm rate in a prospective multi-center study on a large number of patients.SignificanceThe application as seizure alarm device in EMUs becomes feasible and will raise the efficiency of video-EEG monitoring and the safety levels of patients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Neurophysiology - Volume 126, Issue 6, June 2015, Pages 1124-1131
نویسندگان
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