Smart depth of anesthesia monitoring with EEG sensors and agent-based technology
| Autor: | Chrystinne Oliveira Fernandes, Daniel de Souza e Silva, Carlos José Pereira de Lucena |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
020205 medical informatics medicine.diagnostic_test business.industry Computer science Remote patient monitoring Process (engineering) Real-time computing 02 engineering and technology Electroencephalography Domain (software engineering) 03 medical and health sciences Patient safety 0302 clinical medicine 030202 anesthesiology Software agent Anesthesiology 0202 electrical engineering electronic engineering information engineering medicine Wireless business |
| Zdroj: | SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI |
| DOI: | 10.1109/uic-atc.2017.8397455 |
| Popis: | The present paper describes the development of a Smart Medical System applied to the general domain of remote patient monitoring and focused on the anesthesiology care domain. We discuss open issues related to the Depth of Anesthesia (DoA) Monitoring process. Based on the state-of-the-art of the research on patient monitoring techniques, we present a cutting-edge solution to perform DoA monitoring activities during the intraoperative period in a smart, remote, autonomous and wireless way, by using EEG sensors and software agent technology. We hope our solution — called SmartDoAMonitoring App — contributes to a more proactive DoA monitoring, thus increasing patient safety. In this paper, we also discuss the importance of regulating the consumption of anesthetic agents, by reducing excessive dosage administration or increasing insufficient dosage, aiming to shorten the anesthetic recovery period, as well as the adverse effects of anesthesia. |
| Databáze: | OpenAIRE |
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