Article

A Neuromorphic System Based on Spiking-Timing Dependent Plasticity for Evaluating Wakefulness and Anesthesia States using Intracranial EEG Signals

2024-12-10

Abstract excerpt

The primary method for assessing the depth of anesthesia during clinical surgeries currently relies on physiological and behavioral cues, such as heart rate, blood pressure, and reaction to external stimuli. These measures might not be dependable because their relationship to patients’ levels of awareness is not firmly established. Here, we present a neuromorphic framework comprising a Spiking Neural Network (SNN)...

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Literature Corpus work: 1e46b76c-e11f-596f-9fbb-2d75c7b84bc8
DOI: 10.22541/au.173379807.70605903/v1

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A Neuromorphic System Based on Spiking-Timing Dependent Plasticity for Evaluating Wakefulness and Anesthesia States using Intracranial EEG SignalsDOI 10.22541/au.173379807.70605903/v1Read

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