Multi-sensor Synchronization Model for Sensor Fusion Applied to Innovative Cardiovascular Markers
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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.
KeywordsWireless Sensors Networks (WSN) Synchronization protocols Photoplethysmography (PPG) Health diagnosis Cardiovascular markers
This work was funded and supported by the Fundação para a Ciência e Tecnologia (FCT) and NMT, S.A in the scope of the project PD/BDE/130083/2017 and UIDB/00066/2020 (CTS – Center of Technology and Systems).
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