Krmpot, Aleksandar J.

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  • Krmpot, Aleksandar J. (1)
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Application of multiparametric cardiac measurement system in ejection fraction calculation

Krmpot, Aleksandar J.; Lekić, Marina; Miletić, Marjan; Ivanović, Marija D.; Popović Maneski, Lana; Bojović, Boško

(Belgrade : Institute of Physics Belgrade, 2017)

TY  - CONF
AU  - Miletić, Marjan
AU  - Ivanović, Marija D.
AU  - Popović Maneski, Lana
AU  - Bojović, Boško
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/7565
AB  - Ejection fraction (EF) is the most used parameter for characterisation of Heart Failure (HF) condition. EF is commonly calculated using echocardiography, which is an expensive non–invasive method and not used in primary healthcare. Systolic time intervals (STI) represent a non-invasive and inexpensive method for determination of EF[1, 2]. Heart failure (HF) is the single most expensive diagnosis in medicine. 2–3% of adult population in developed countries have HF diagnosis. It is not detectable by ECG test and it is commonly detected in a late stage, when the process is irreversible [2-5]. In this paper, a multiparametric cardiac measurement system for determination of STI is presented. Measurement system consists of sensors for simultaneous acquisition of electrocardiographic (ECG), phonocardiographic (PCG), photopletysmographic (PPG) and cardiovascular (CV) pulsation signals. CV pulsation signals are measured by long period grating (LPG) fiber-optic sensors[6]. Two non-invasive methods for measuring systolic time intervals (STI) were applied on a set of 6 healthy volunteers, based on ECG, PCG and CV pulsation signals. CV pulsation signals were measured on carotide arthery with PPG and LPG sensors. In the first method, EF was calculated from the obtained STI signals, using CV carotide pulsations measured with the PPG sensor, giving EF values in the range from 0.60 to 0.68, with maximal standard deviation of 0.05. In the second method, EF was obtained using CV carotide pulsations measured with LPG sensor, giving EF values in the range from 0.60 to 0.66, with maximal standard deviation 0.06. Calculated values of EF with both methods were in the 0.55 to 0.75 range which corresponds to normal EF range in healthy individuals.
PB  - Belgrade : Institute of Physics Belgrade
C3  - PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
T1  - Application of multiparametric cardiac measurement system in ejection fraction calculation
SP  - 112
UR  - https://hdl.handle.net/21.15107/rcub_vinar_7565
ER  - 
@conference{
editor = "Krmpot, Aleksandar J., Lekić, Marina",
author = "Miletić, Marjan and Ivanović, Marija D. and Popović Maneski, Lana and Bojović, Boško",
year = "2017",
abstract = "Ejection fraction (EF) is the most used parameter for characterisation of Heart Failure (HF) condition. EF is commonly calculated using echocardiography, which is an expensive non–invasive method and not used in primary healthcare. Systolic time intervals (STI) represent a non-invasive and inexpensive method for determination of EF[1, 2]. Heart failure (HF) is the single most expensive diagnosis in medicine. 2–3% of adult population in developed countries have HF diagnosis. It is not detectable by ECG test and it is commonly detected in a late stage, when the process is irreversible [2-5]. In this paper, a multiparametric cardiac measurement system for determination of STI is presented. Measurement system consists of sensors for simultaneous acquisition of electrocardiographic (ECG), phonocardiographic (PCG), photopletysmographic (PPG) and cardiovascular (CV) pulsation signals. CV pulsation signals are measured by long period grating (LPG) fiber-optic sensors[6]. Two non-invasive methods for measuring systolic time intervals (STI) were applied on a set of 6 healthy volunteers, based on ECG, PCG and CV pulsation signals. CV pulsation signals were measured on carotide arthery with PPG and LPG sensors. In the first method, EF was calculated from the obtained STI signals, using CV carotide pulsations measured with the PPG sensor, giving EF values in the range from 0.60 to 0.68, with maximal standard deviation of 0.05. In the second method, EF was obtained using CV carotide pulsations measured with LPG sensor, giving EF values in the range from 0.60 to 0.66, with maximal standard deviation 0.06. Calculated values of EF with both methods were in the 0.55 to 0.75 range which corresponds to normal EF range in healthy individuals.",
publisher = "Belgrade : Institute of Physics Belgrade",
journal = "PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts",
title = "Application of multiparametric cardiac measurement system in ejection fraction calculation",
pages = "112",
url = "https://hdl.handle.net/21.15107/rcub_vinar_7565"
}
Krmpot, A. J., Lekić, M., Miletić, M., Ivanović, M. D., Popović Maneski, L.,& Bojović, B.. (2017). Application of multiparametric cardiac measurement system in ejection fraction calculation. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts
Belgrade : Institute of Physics Belgrade., 112.
https://hdl.handle.net/21.15107/rcub_vinar_7565
Krmpot AJ, Lekić M, Miletić M, Ivanović MD, Popović Maneski L, Bojović B. Application of multiparametric cardiac measurement system in ejection fraction calculation. in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts. 2017;:112.
https://hdl.handle.net/21.15107/rcub_vinar_7565 .
Krmpot, Aleksandar J., Lekić, Marina, Miletić, Marjan, Ivanović, Marija D., Popović Maneski, Lana, Bojović, Boško, "Application of multiparametric cardiac measurement system in ejection fraction calculation" in PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts (2017):112,
https://hdl.handle.net/21.15107/rcub_vinar_7565 .