Depth of Anesthesia
نویسندگان
چکیده
منابع مشابه
Monitoring Depth of Anesthesia by Nonlinear Correlation Measures
Background: Monitoring the depth of anesthesia (DOA) takes an important role for anesthetists in order avoiding undesirable reactions such as intraoperative awareness, prolonged recovery and increased risk of postoperative complications.The Central Nervous System (CNS) is the main target of anesthetic drugs, hence EEG signal processing during anesthesia is helpful for monitoring DOA. In order t...
متن کاملRelationship Between Depth of Anesthesia and Severity of Pain after Abdominal Surgeries
Background: Pain control during and after surgeries can reduce subsequent complications, improve the recovery period of the patient after the surgery and immediately after discharge from the hospital, and shorten the length of stay in the hospital. Objectives: The present research aimed to study the relationship between the depth of anesthesia and severity of pain after general anesthesia....
متن کاملAssessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal
Introduction: Ensuring an adequate Depth of Anesthesia (DOA) during surgery is essential for anesthesiologists. Since the effect of anesthetic drugs is on the central nervous system, brain signals such as Electroencephalogram (EEG) can be used for DOA estimation. Anesthesia can interfere among brain regions, so the relationship among different areas can be a key factor in the anesthetic process...
متن کاملAssessment of depth of anesthesia: PRST score versus bispectral index.
UNLABELLED Assessment of depth of anesthesia is the basis in anesthesiologists work because the occurrence of awareness during general anesthesia is important due to stress, which is caused in the patient at that moment, and due to complications that may arise later. There are subjective and objective methods used to estimate the depth of anesthesia. The aim of this study was to assess the dept...
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ژورنال
عنوان ژورنال: Anesthesiology
سال: 2011
ISSN: 0003-3022
DOI: 10.1097/aln.0b013e3182390396