SUPPORT VECTOR MACHINES FOR PAIN DIAGNOSIS USING WAVELT COEFFICIENTS

سال انتشار: 1389
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,258

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICFUZZYS10_071

تاریخ نمایه سازی: 9 شهریور 1391

چکیده مقاله:

Diagnosing pain mechanism would improve the clinical curing methods. Although different researches have been studied pain diagnosis, but consistent results are surprising. This study shows how EEG features reflects the pain different levels. The EEG signals are recorded during two conditions: a relax condition and pain condition. Wavelet coefficients which are consistent with dynamical characteristic of EEG signals, combined with statistical methods are used to reduce the features space. Support Vector Machines (SVM) are used to differentiate between pain and no-pain levels. This study confirms this hypothesis that the brain pattern varies during pain and as is shown that pain and no-pain (relax) condition differentiate very well.

کلیدواژه ها: