EEG Analysis for Estimating of BIS Using Neural Network | ||
| Journal of Neurodevelopmental Cognition | ||
| دوره 6، شماره 2، شهریور 2025، صفحه 77-86 اصل مقاله (687.6 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.48308/jncog.2025.239360.1016 | ||
| نویسندگان | ||
| Mohsen Najafi* 1؛ Mohammad Reza Arab2 | ||
| 1Electrical Eng. Dept, Arak University of Technology (ARAKUT), Arak, Iran, & The Institute for Cognitive and Brain Sciences (ICBS), Shahid Beheshti University, Tehran, Iran | ||
| 2Intelligent Signal Processing and Cognitive Sciences Research Laboratory, Arak University of Technology, Arak, Iran | ||
| چکیده | ||
| Designing a system that can accurately notify the doctor of the patient's level of consciousness in the operating room and ICU departments, has always been one of the challenges of the treatment team in hospitals. The usual method of measuring the depth of anesthesia in operating rooms is to use hemodynamic criteria, which is not satisfactory. Using bispectral index (BIS) is an advanced and reliable method to measure the depth of anesthesia, and its number has an inverse relationship with the depth of anesthesia. In this article EEG signals have been used for estimating of BIS using Time Delay Neural Network (TDNN). Using the designed software, all parameters of the extraction time domain, such as brain signal, Burst Suppression Ratio (BSR), frequency range of the bi spectrum, 95% spectral edge frequency (95%SEF), median frequency (MF), and relative delta power (RDP) have been extracted. These parameters are feed to the as input of a neural network for estimating the BIS. EEG signals during anesthesia were saved by BIS XP monitor (Aspect medical system Inc.). | ||
| کلیدواژهها | ||
| Bispectral Index؛ EEG Signal؛ Neural Network | ||
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آمار تعداد مشاهده مقاله: 252 تعداد دریافت فایل اصل مقاله: 124 |
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