PREDICTING THE DEPTH OF ANESTHESIA FOR OPERATING PATIENT USING MUSIC-BASED SPECTRAL FEATURES OF EEG SIGNALS

In modern practice of major surgery using anesthesia is entirely mandatory. But due to the failure of optimal dose of anesthetic dose delivery it is also common to the patients to face intraoperative and postoperative complications. The main cause of the imbalance dose of anesthesia is not being...

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Auteur principal:	RAHMAN, M. N. NASHID
Format:	Thèse
Langue:	anglais
Publié:	Department of Biomedical Engineering, MIST 2024
Sujets:	Anesthetic Depth; Electroencephalogram (EEG); Multiple Signal Classification (MUSIC); Artificial Neural Network (ANN).
Accès en ligne:	http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/818
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