Detection of attempted movement from the EEG during neuromuscular block: proof of principle study in awake volunteers
| Autor: | J.G.C. Lerou, Jörgen Bruhn, Loukianos Spyrou, Geert-Jan van Geffen, J.M.J. Mourisse, Yvonne Blokland, Gert Jan Scheffer, Jason Farquhar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Volunteers medicine.medical_specialty Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2] Movement Intraoperative Awareness Electroencephalography Article Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] 03 medical and health sciences User-Computer Interface Young Adult 0302 clinical medicine Physical medicine and rehabilitation 030202 anesthesiology medicine Paralysis Humans General anaesthesia Rocuronium Wakefulness Brain–computer interface Neuromuscular Blockade Multidisciplinary medicine.diagnostic_test business.industry Brain Cognitive artificial intelligence Neuromuscular Blocking Agents Brain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4] Anesthesia Brain-Computer Interfaces Female medicine.symptom business 030217 neurology & neurosurgery medicine.drug |
| Zdroj: | Scientific Reports Scientific Reports, 5 |
| ISSN: | 2045-2322 |
| Popis: | Contains fulltext : 154964.pdf (Publisher’s version ) (Open Access) Brain-Computer Interfaces (BCIs) have the potential to detect intraoperative awareness during general anaesthesia. Traditionally, BCI research is aimed at establishing or improving communication and control for patients with permanent paralysis. Patients experiencing intraoperative awareness also lack the means to communicate after administration of a neuromuscular blocker, but may attempt to move. This study evaluates the principle of detecting attempted movements from the electroencephalogram (EEG) during local temporary neuromuscular blockade. EEG was obtained from four healthy volunteers making 3-second hand movements, both before and after local administration of rocuronium in one isolated forearm. Using offline classification analysis we investigated whether the attempted movements the participants made during paralysis could be distinguished from the periods when they did not move or attempt to move. Attempted movement trials were correctly identified in 81 (68-94)% (mean (95% CI)) and 84 (74-93)% of the cases using 30 and 9 EEG channels, respectively. Similar accuracies were obtained when training the classifier on the participants' actual movements. These results provide proof of the principle that a BCI can detect movement attempts during neuromuscular blockade. Based on this, in the future a BCI may serve as a communication channel between a patient under general anaesthesia and the anaesthesiologist. 11 p. |
| Databáze: | OpenAIRE |
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