Multi-sensor Synchronization Model for Sensor Fusion Applied to Innovative Cardiovascular Markers - Technological Innovation for Life Improvement Access content directly
Conference Papers Year : 2020

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

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.
Fichier principal
Vignette du fichier
496588_1_En_40_Chapter.pdf (851.65 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03741548 , version 1 (01-08-2022)

Licence

Attribution

Identifiers

Cite

Paulo Bonifacio, Valentina Vasssilenko, Andreia Serrano, Filipa E. Cardoso, Stanimir Valtchev. Multi-sensor Synchronization Model for Sensor Fusion Applied to Innovative Cardiovascular Markers. 11th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2020, Costa de Caparica, Portugal. pp.411-419, ⟨10.1007/978-3-030-45124-0_40⟩. ⟨hal-03741548⟩
7 View
21 Download

Altmetric

Share

Gmail Facebook X LinkedIn More