Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis
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 demonstrat...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/17/6326 |
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| author | Teodora Vićentić Milena Rašljić Rafajilović Stefan D. Ilić Bojana Koteska Ana Madevska Bogdanova Igor A. Pašti Fedor Lehocki Marko Spasenović |
| author_facet | Teodora Vićentić Milena Rašljić Rafajilović Stefan D. Ilić Bojana Koteska Ana Madevska Bogdanova Igor A. Pašti Fedor Lehocki Marko Spasenović |
| author_sort | Teodora Vićentić |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T01:17:03Z |
| format | Article |
| id | doaj.art-5c0a0263c39d48b6a8fb835ed9dc4104 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:17:03Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5c0a0263c39d48b6a8fb835ed9dc41042023-11-23T14:06:37ZengMDPI AGSensors1424-82202022-08-012217632610.3390/s22176326Laser-Induced Graphene for Heartbeat Monitoring with HeartPy AnalysisTeodora Vićentić0Milena Rašljić Rafajilović1Stefan D. Ilić2Bojana Koteska3Ana Madevska Bogdanova4Igor A. Pašti5Fedor Lehocki6Marko Spasenović7Center for Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, SerbiaCenter for Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, SerbiaCenter for Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, SerbiaFaculty of Computer Science and Engineering (FCSE), “Ss. Cyril and Methodius” University, 1000 Skopje, North MacedoniaFaculty of Computer Science and Engineering (FCSE), “Ss. Cyril and Methodius” University, 1000 Skopje, North MacedoniaFaculty of Physical Chemistry, University of Belgrade, 11158 Belgrade, SerbiaFaculty of Informatics and Information Technologies, Slovak University of Technology, 842 16 Bratislava, SlovakiaCenter for Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, SerbiaThe 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.https://www.mdpi.com/1424-8220/22/17/6326bioinformaticsbiomedical electronicsbiomedical materialsbiomedical signal processingbiosensorsmedical information systems |
| spellingShingle | Teodora Vićentić Milena Rašljić Rafajilović Stefan D. Ilić Bojana Koteska Ana Madevska Bogdanova Igor A. Pašti Fedor Lehocki Marko Spasenović Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis Sensors bioinformatics biomedical electronics biomedical materials biomedical signal processing biosensors medical information systems |
| title | Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis |
| title_full | Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis |
| title_fullStr | Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis |
| title_full_unstemmed | Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis |
| title_short | Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis |
| title_sort | laser induced graphene for heartbeat monitoring with heartpy analysis |
| topic | bioinformatics biomedical electronics biomedical materials biomedical signal processing biosensors medical information systems |
| url | https://www.mdpi.com/1424-8220/22/17/6326 |
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