Anaesthesia Monitoring: From Conventional to AI-Enabled Data Acquisition Methods

Xiaoxiao Liu, Sean McGrath, Colin Flanagan, Yiming Lei, Liaoyuan Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is widely recognized that the timely acquisition and presentation of accurate physiological data is a vital aid to the anaesthesiologist in monitoring and maintaining the well-being of a patient undergoing surgery. Collecting, storing, synchronizing, integrating, evaluating, and retrieving pertinent information from patient data remains very difficult due to limited computer power, the need for specialized software, inconsistency between monitoring devices, and inadequate data storage. This paper introduces the general steps of data acquisition in anaesthesia and summarizes some data acquisition systems. It also introduces some applications of the burgeoning field of artificial intelligence (AI) to data acquisition, illustrating how AI techniques may be used to advantage to assist the anaesthesiologist in monitoring and interpreting such data.

Original languageEnglish
Title of host publicationEUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages530-535
Number of pages6
ISBN (Electronic)9781665463973
DOIs
Publication statusPublished - 2023
Event20th International Conference on Smart Technologies, EUROCON 2023 - Torino, Italy
Duration: 6 Jul 20238 Jul 2023

Publication series

NameEUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings

Conference

Conference20th International Conference on Smart Technologies, EUROCON 2023
Country/TerritoryItaly
CityTorino
Period6/07/238/07/23

Keywords

  • Anaesthesia
  • Artificial intelligence
  • Data acquisition

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