Subject: bioinformatics; biomedical electronics; biomedical materials; biomedical signal processing; biosensors; medical information systems; programming; software performance; wearable sensors
Year: 2022
Type: Journal Article
Title: Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis
Author: Vićentić, Teodora
Author: Rašljić Rafajilović, Milena
Author: Ilić, Stefan
Author: Koteska, Bojana
Author: Madevska Bogdanova, Ana
Author: Pašti, Igor
Author: Lehocki, Fedor
Author: Spasenović, Marko
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.
Publisher: MDPI
Relation: Sensors
Identifier: oai:repository.ukim.mk:20.500.12188/27645
Identifier: http://hdl.handle.net/20.500.12188/27645
