This research addresses the challenge of pain assessment in individuals with cognitive deterioration (CD), a common aspect of aging and various neurological conditions. Due to difficulties in self-reporting, especially in severe cases, accurate pain diagnosis and management are hindered. The study explores the use of electroencephalography (EEG) and machine learning techniques to objectively measure pain in CD patients. Utilizing a BIS device, the research aims to identify EEG markers associated with pain, comparing them with an objective PANAID scale. The study targets patients in surgical departments, providing valuable insights into enhancing pain assessment for those unable to express pain through traditional subjective scales.
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Utilization of the BIS device for the objective quantification of pain levels in patients with cognitive deterioration.
Timeframe: 20 minutes