Assessment of surgeon's stress level and alertness using EEG during laparoscopic simple nephrectomy
| Autor: | Dilek Goksel Duru, Adil Deniz Duru, Oner Sanli, Duygun Erol Barkana, Mehmed Ozkan |
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| Přispěvatelé: | İstanbul Arel Üniversitesi, Mühendislik ve Mimarlık Fakültesi, Biyomedikal Mühendisliği Bölümü., TR17707, TR57698, TR22014, TR168222, TR16771 |
| Rok vydání: | 2013 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Convalescence media_common.quotation_subject Headset Electroencephalography Kidney Mental effort Stress level Developmental psychology Alertness Physical medicine and rehabilitation Emotion Recognition medicine Psychology Surgery Real-Time Systems Objective information Simple nephrectomy Medical Signal Detection media_common |
| Zdroj: | 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER). |
| Popis: | Göksel Duru, Dilek (Arel Author) --- Conference: Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on 6-8 Nov. 2013 San Diego, CA. Laparoscopic simple nephrectomy (LSN) is an accepted treatment modality for nonfunctioning kidneys. Besides decreased postoperative morbidity, LSN is an advantage with decreased analgesic requirements and convalescence. LSN is a highly stressful operation, and the procedure requires high concentration level and experience. Emotions recognized from Electroencephalogram (EEG) may lead to detect the real emotions of the human. In this study, we proposed a subject-dependent stress level detection from EEG using the (Fpz beta/alpha) ratio to recognize high and low dominance levels of feelings based on the 2D Valence-Arousal model. The stress level of the surgeon is monitored via EEG during the operation. The most stressful phase of LSN and its change over time are determined using wireless EEG headset with real-time measurements. The aim here is to monitor and utilize objective information on the mental effort and stress demanded. |
| Databáze: | OpenAIRE |
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