Wearable Patch for Mass Casualty Screening with Graphene Sensors
Аутори
Vićentić, TeodoraRašljić Rafajilović, Milena
Ilić, Stefan
Koteska, Bojana
Madevska Bogdanova, Ana
Pašti, Igor
Lehocki, Fedor
Spasenović, Marko
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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
Кључне речи:
wearables / graphene / Python / sensors / electronicsИзвор:
19th International Conference on Informatics and Information Technologies, CIIT 2022, 2022, 99-102Издавач:
- The Institute of Doctors Engineers and Scientists (IDES)
- The Association of Computer Electrical Electronics and Communication (ACEECom)
Финансирање / пројекти:
- Smart Patch for Life Support Systems Nato project G5825
- IBS4LIFE
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200026 (Универзитет у Београду, Институт за хемију, технологију и металургију - ИХТМ) (RS-MESTD-inst-2020-200026)
Институција/група
IHTMTY - 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 .