کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6270341 | 1295204 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance metrics for the accurate characterisation of interictal spike detection algorithms
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Performance metrics for the accurate characterisation of interictal spike detection algorithms Performance metrics for the accurate characterisation of interictal spike detection algorithms](/preview/png/6270341.png)
چکیده انگلیسی
Automated spike detection methods for the epileptic EEG are highly desired to speed up and disambiguate EEG analysis. However, it is difficult to accurately and concisely present the performance of such algorithms due to the large number of recording and algorithm variables that must be accounted for. This paper summarizes the core variables involved and presents different methods for calculating the average performance. These methods incorporate weighting factors to correct for non-ideal test cases. The factors are found to have a significant effect on the appearance of the results and the performance level that the algorithm appears to achieve. Four different weighting factors are considered and a duration divided by the number of events weighting is recommended for use in future studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 177, Issue 2, 15 March 2009, Pages 479-487
Journal: Journal of Neuroscience Methods - Volume 177, Issue 2, 15 March 2009, Pages 479-487
نویسندگان
Alexander J. Casson, Elena Luna, Esther Rodriguez-Villegas,