Anesthesia and analgesia
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Anesthesia and analgesia · Feb 2022
Raspberry Pi-Based Data Archival System for Electroencephalogram Signals From the SedLine Root Device.
The retrospective analysis of electroencephalogram (EEG) signals acquired from patients under general anesthesia is crucial in understanding the patient's unconscious brain's state. However, the creation of such database is often tedious and cumbersome and involves human labor. Hence, we developed a Raspberry Pi-based system for archiving EEG signals recorded from patients under anesthesia in operating rooms (ORs) with minimal human involvement. ⋯ Our system is a standalone EEG archiver developed using low cost and readily available hardware. We demonstrated that one could create a large-scale EEG database with minimal human involvement. Moreover, we showed that the captured EEG signal is of good quality for retrospective analysis and combined the EEG signal with the patient medical records. This project's software has been released under an open-source license to enable others to use and contribute.
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Anesthesia and analgesia · Feb 2022
Multicenter StudyDevelopment, Validation, and Results of a Survey of Personal Electronic Device Use Among 299 Anesthesia Providers From a Single Institution.
The pattern of perioperative use of personal electronic devices (PEDs) among anesthesia providers in the United States is unknown. ⋯ Our data reinforce that PED use is prevalent among anesthesia providers.