Multi-sensor Synchronization Model for Sensor Fusion Applied to Innovative Cardiovascular Markers

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

Abstract

Cardiovascular diseases remain the leading cause of morbidity, mortality, early disability and growing health costs worldwide. The difficulty for monitoring the evolution of cardiovascular related diseases can be, partially, attributed to the lack of appropriate indicators for arterial injury and cardiac disfunction during routine clinical practice. Non-invasive sensors, such as Photoplethysmography (PPG) devices, can be used for the measurement of several hemodynamic related parameters, albeit, most of current sensors require a skilled operator to interpret that sensory data. This paper presents a novel, method for an open architecture system where the simultaneous utilization of different types of devices is possible, PPG, Electrocardiogram (ECG) or other. Working, communicating and synchronizing through a wireless network, those can be placed on specific points of the patient’s body and will allow to get better information of the cardiovascular marker of interest: hemodynamic or other, reducing the workload for the operator. The proposed open architecture is a simple cost-effective solution that can potentially achieve a widespread use in daily clinical practice.

Original languageEnglish
Title of host publicationTechnological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
EditorsLuis M. Camarinha-Matos, Nastaran Farhadi, Fábio Lopes, Helena Pereira
Place of PublicationCham
PublisherSpringer
Pages411-419
Number of pages9
ISBN (Electronic)978-3-030-45124-0
ISBN (Print)978-3-030-45123-3
DOIs
Publication statusPublished - 2020
Event11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020 - Costa de Caparica, Portugal
Duration: 1 Jul 20203 Jul 2020

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume577
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
CountryPortugal
CityCosta de Caparica
Period1/07/203/07/20

Keywords

  • Cardiovascular markers
  • Health diagnosis
  • Photoplethysmography (PPG)
  • Synchronization protocols
  • Wireless Sensors Networks (WSN)

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