Future noninvasive monitoring

Silvia Mariani, Maria Elena De Piero, Axel Haverich

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Extracorporeal life support (ECLS) technologies have witnessed significant improvements in the latest decades with a consequent larger application both in the cardiac surgery field and intensive care units. This trend has led to an overall increase in the number of treated patients, with a parallel escalation in their complexity. Consequently, clinicians need to face several challenges in terms of patient’s management and require advanced technologies to support their decision-making process. While clinical experience is still the milestone of a good medical treatment, the scientific and clinical communities have moved toward the development of more advanced, integrated, less invasive, and smart monitoring systems. These monitoring techniques address both the patient body and the ECLS circuit, considering the interaction between these two players and their peculiar characteristics. Ideally, every organ and system can be monitored during ECLS through invasive and noninvasive methods. This chapter aims to systematically analyze all available monitoring systems for ECLS patients and compare the more traditional ones with the newest and innovative techniques. Moreover, it provides the basic tools to identify the best monitoring approach for each patient and it offers an overview of future directions of this field.
Original languageEnglish
Title of host publicationCardiopulmonary Bypass
Subtitle of host publicationAdvances in Extracorporeal Life Support
EditorsKaan Kırali, Joseph S. Coselli, Afksendiyos Kalangos
PublisherElsevier
Chapter5
Pages65-83
Number of pages19
Volume1
ISBN (Electronic)9780443189180
ISBN (Print)9780323993029
DOIs
Publication statusPublished - 1 Jan 2022

Keywords

  • artificial intelligence
  • big data
  • cardiopulmonary bypass
  • extracorporeal life support
  • extracorporeal membrane oxygenation
  • future goals
  • integrated monitoring system
  • Noninvasive monitoring

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