Application of multiparametric cardiac measurement system in ejection fraction calculation
2017
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Authors
Miletić, MarjanIvanović, Marija D.
Popović Maneski, Lana
Bojović, Boško
Contributors
Krmpot, Aleksandar J.Lekić, Marina
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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 metho...ds 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.
Keywords:
heart failure / ejection fraction calculation / systolic time intervalsSource:
PHOTONICA2017 : 6th International School and Conference on Photonics and COST actions: MP1406 and MP1402 : Program and the book of abstracts, 2017, 112-112Publisher:
- Belgrade : Institute of Physics Belgrade
Note:
- VI International School and Conference on Photonics and COST actions: MP1406 and MP1402 : PHOTONICA2017 : August 23 - September 1, 2017; Belgrade.
Institution/Community
VinčaTY - 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 EP - 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 = "112-112", 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., 112-112. 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;:112-112. 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):112-112, https://hdl.handle.net/21.15107/rcub_vinar_7565 .