TY  - JOUR
AU  - Vićentić, Teodora
AU  - Rašljić Rafajilović, Milena
AU  - Ilić, Stefan
AU  - Koteska, Bojana
AU  - Madevska Bogdanova, Ana
AU  - Pašti, Igor
AU  - Lehocki, Fedor
AU  - Spasenović, Marko
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5559
AB  - 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.
PB  - MDPI AG
T2  - Sensors
T1  - Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis
VL  - 22
IS  - 17
SP  - 6326
DO  - 10.3390/s22176326
ER  - 

@article{
author = "Vićentić, Teodora and Rašljić Rafajilović, Milena and Ilić, Stefan and Koteska, Bojana and Madevska Bogdanova, Ana and Pašti, Igor and Lehocki, Fedor and Spasenović, Marko",
year = "2022",
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 AG",
journal = "Sensors",
title = "Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis",
volume = "22",
number = "17",
pages = "6326",
doi = "10.3390/s22176326"
}

Vićentić, T., Rašljić Rafajilović, M., Ilić, S., Koteska, B., Madevska Bogdanova, A., Pašti, I., Lehocki, F.,& Spasenović, M.. (2022). Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis. in Sensors
MDPI AG., 22(17), 6326.
https://doi.org/10.3390/s22176326

Vićentić T, Rašljić Rafajilović M, Ilić S, Koteska B, Madevska Bogdanova A, Pašti I, Lehocki F, Spasenović M. Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis. in Sensors. 2022;22(17):6326.
doi:10.3390/s22176326 .

Vićentić, Teodora, Rašljić Rafajilović, Milena, Ilić, Stefan, Koteska, Bojana, Madevska Bogdanova, Ana, Pašti, Igor, Lehocki, Fedor, Spasenović, Marko, "Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis" in Sensors, 22, no. 17 (2022):6326,
https://doi.org/10.3390/s22176326 . .

TY  - CONF
AU  - Vićentić, Teodora
AU  - Rašljić Rafajilović, Milena
AU  - Ilić, Stefan
AU  - Koteska, Bojana
AU  - Madevska Bogdanova, Ana
AU  - Pašti, Igor
AU  - Lehocki, Fedor
AU  - Spasenović, Marko
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5722
AB  - Wearable sensors are reaching maturity, at the
same time as technologies for communicating physiological data
and those for analyzing massive amounts of data. The
combination of the three technologies invites for applications in
mass screening of personal health through smart algorithm
deployment on data from wearable patches. We propose and
present an architecture for a wearable patch to be used in mass
casualty emergency situations, or for hospital bedside
monitoring. The proposed patch will contain multiple sensors of
physiological parameters. We propose to create respiration and
heartbeat sensors made of laser induced graphene. We show
that graphene on flexible substrates can be utilized in
conjunction with the Python heart rate analysis toolkit -
HeartPy to reliably acquire physiological data from human
subjects
PB  - The Institute of Doctors Engineers and Scientists (IDES)
PB  - The Association of Computer Electrical Electronics and Communication (ACEECom)
C3  - 19th International Conference on Informatics and Information Technologies, CIIT 2022
T1  - Wearable Patch for Mass Casualty Screening with Graphene Sensors
SP  - 99
EP  - 102
UR  - https://hdl.handle.net/21.15107/rcub_cer_5722
ER  - 

@conference{
author = "Vićentić, Teodora and Rašljić Rafajilović, Milena and Ilić, Stefan and Koteska, Bojana and Madevska Bogdanova, Ana and Pašti, Igor and Lehocki, Fedor and Spasenović, Marko",
year = "2022",
abstract = "Wearable sensors are reaching maturity, at the
same time as technologies for communicating physiological data
and those for analyzing massive amounts of data. The
combination of the three technologies invites for applications in
mass screening of personal health through smart algorithm
deployment on data from wearable patches. We propose and
present an architecture for a wearable patch to be used in mass
casualty emergency situations, or for hospital bedside
monitoring. The proposed patch will contain multiple sensors of
physiological parameters. We propose to create respiration and
heartbeat sensors made of laser induced graphene. We show
that graphene on flexible substrates can be utilized in
conjunction with the Python heart rate analysis toolkit -
HeartPy to reliably acquire physiological data from human
subjects",
publisher = "The Institute of Doctors Engineers and Scientists (IDES), The Association of Computer Electrical Electronics and Communication (ACEECom)",
journal = "19th International Conference on Informatics and Information Technologies, CIIT 2022",
title = "Wearable Patch for Mass Casualty Screening with Graphene Sensors",
pages = "99-102",
url = "https://hdl.handle.net/21.15107/rcub_cer_5722"
}

Vićentić, T., Rašljić Rafajilović, M., Ilić, S., Koteska, B., Madevska Bogdanova, A., Pašti, I., Lehocki, F.,& Spasenović, M.. (2022). Wearable Patch for Mass Casualty Screening with Graphene Sensors. in 19th International Conference on Informatics and Information Technologies, CIIT 2022
The Institute of Doctors Engineers and Scientists (IDES)., 99-102.
https://hdl.handle.net/21.15107/rcub_cer_5722

Vićentić T, Rašljić Rafajilović M, Ilić S, Koteska B, Madevska Bogdanova A, Pašti I, Lehocki F, Spasenović M. Wearable Patch for Mass Casualty Screening with Graphene Sensors. in 19th International Conference on Informatics and Information Technologies, CIIT 2022. 2022;:99-102.
https://hdl.handle.net/21.15107/rcub_cer_5722 .

Vićentić, Teodora, Rašljić Rafajilović, Milena, Ilić, Stefan, Koteska, Bojana, Madevska Bogdanova, Ana, Pašti, Igor, Lehocki, Fedor, Spasenović, Marko, "Wearable Patch for Mass Casualty Screening with Graphene Sensors" in 19th International Conference on Informatics and Information Technologies, CIIT 2022 (2022):99-102,
https://hdl.handle.net/21.15107/rcub_cer_5722 .