Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22661
Title: Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis
Authors: Vićentić, Teodora
Rašljić Rafajilović, Milena
Ilić, Stefan
Koteska, Bojana 
Madevska Bogdanova, Ana 
Pašti, Igor
Lehocki, Fedor
Keywords: bioinformatics
biomedical electronics
biomedical materials
biomedical signal processing
biosensors
medical information systems
wearable sensors
Issue Date: 23-Aug-2022
Publisher: Sensors
Series/Report no.: 22(17);6326
Abstract: The HeartPy Python toolkit for analysis of noisy signals from heart rate measurements is an excellent tool to use in conjunction with novel wearable sensors. Nevertheless, most of the work to date has focused on applying the toolkit to data measured with commercially available sensors. We demonstrate the application of the HeartPy functions to data obtained with a novel graphene-based heartbeat sensor. We produce the sensor by laser-inducing graphene on a flexible polyimide substrate. Both graphene on the polyimide substrate and graphene transferred onto a PDMS substrate show piezoresistive behavior that can be utilized to measure human heartbeat by registering median cubital vein motion during blood pumping. We process electrical resistance data from the graphene sensor using HeartPy and demonstrate extraction of several heartbeat parameters, in agreement with measurements taken with independent reference sensors. We compare the quality of the heartbeat signal from graphene on different substrates, demonstrating that in all cases the device yields results consistent with reference sensors. Our work is a first demonstration of successful application of HeartPy to analysis of data from a sensor in development.
URI: http://hdl.handle.net/20.500.12188/22661
DOI: 10.3390/s22176326
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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