Application of multiparametric cardiac measurement system in ejection fraction calculation
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 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:
Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia, 2017, 112-112Publisher:
- Belgrade : Institute of Physics Belgrade
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Miletić, Marjan AU - Ivanović, Marija D. AU - Popović Maneski, Lana AU - Bojović, Boško PY - 2017 UR - https://dais.sanu.ac.rs/123456789/15422 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 - Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia T1 - Application of multiparametric cardiac measurement system in ejection fraction calculation SP - 112 EP - 112 UR - https://hdl.handle.net/21.15107/rcub_dais_15422 ER -
@conference{ 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 = "Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia", title = "Application of multiparametric cardiac measurement system in ejection fraction calculation", pages = "112-112", url = "https://hdl.handle.net/21.15107/rcub_dais_15422" }
Miletić, M., Ivanović, M. D., Popović Maneski, L.,& Bojović, B.. (2017). Application of multiparametric cardiac measurement system in ejection fraction calculation. in Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia Belgrade : Institute of Physics Belgrade., 112-112. https://hdl.handle.net/21.15107/rcub_dais_15422
Miletić M, Ivanović MD, Popović Maneski L, Bojović B. Application of multiparametric cardiac measurement system in ejection fraction calculation. in Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia. 2017;:112-112. https://hdl.handle.net/21.15107/rcub_dais_15422 .
Miletić, Marjan, Ivanović, Marija D., Popović Maneski, Lana, Bojović, Boško, "Application of multiparametric cardiac measurement system in ejection fraction calculation" in Abstracts of Tutorial, Keynote, Invited Lectures, Progress Reports and Contributed Papers of the Sixth International School and Conference on Photonics PHOTONICA2017, 28 August – 1 September 2017, Belgrade Serbia (2017):112-112, https://hdl.handle.net/21.15107/rcub_dais_15422 .