Assessment of changes in the electrical activity of the brain during general anesthesia using portable electroencephalography
| Autor: | John Fredy Ochoa Gómez, Carolina Serna Rojas, Eduardo Montoya Guevara, Juan Daniel Mora Lesmes, Francisco Javier Gómez Oquendo, Verónica Gaviria García, Daniel Loaiza López, Sara Ríos Arismendy |
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| Rok vydání: | 2020 |
| Předmět: |
Materials science
Wire mesh Hexagonal crystal system Chicken wire engineering.material Critical Care and Intensive Care Medicine 03 medical and health sciences 0302 clinical medicine Anesthesiology and Pain Medicine 030202 anesthesiology engineering Line (text file) Netting Composite material Trimmer 030217 neurology & neurosurgery |
| Zdroj: | Colombian Journal of Anesthesiology. 49 |
| ISSN: | 2256-2087 2422-0248 |
| DOI: | 10.5554/22562087.e956 |
| Popis: | Introduction: The analysis of the electrical activity of the brain using scalp electrodes with electroencephalography (EEG) could reveal the depth of anesthesia of a patient during surgery. However, conventional EEG equipment, due to its price and size, are not a practical option for the operating room and the commercial units used in surgery do not provide access to the electrical activity. The availability of low-cost portable technologies could provide for further research on the brain activity under general anesthesia and facilitate our quest for new markers of depth of anesthesia. Objective: To assess the capabilities of a portable EEG technology to capture brain rhythms associated with the state of consciousness and the general anesthesia status of surgical patients anesthetized with propofol. Methods: Observational, cross-sectional trial that reviewed 10 EEG recordings captured using OpenBCI portable low-cost technology, in female patients undergoing general anesthesia with propofol. The signal from the frontal electrodes was analyzed with spectral analysis and the results were compared against the reports in the literature. Results: The signal captured with frontal electrodes, particularly α rhythm, enabled the distinction between resting with eyes closed and with eyes opened in a conscious state, and sustained anesthesia during surgery. Conclusions: It is possible to differentiate a resting state from sustained anesthesia, replicating previous findings with conventional technologies. These results pave the way to the use of portable technologies such as the OpenBCI tool, to explore the brain dynamics during anesthesia. |
| Databáze: | OpenAIRE |
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