A NEW LOW-COMPLEXITY ALGORITHM FOR THE PULSE TRANSIT TIME EVALUATION

The pulse transit time (PTT) is a physiological parameter commonly derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) signal. It is defined as the time taken for the arterial pulse to travel from the heart to a peripheral site, and can be used as a direct indicator of Cardiovascular D...

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Vydáno v:Bioscience & Engineering : An International Journal Ročník 10; číslo 1/2; s. 15 - 23
Hlavní autoři: Lilia, Radjef, Tahar, Omari
Médium: Journal Article
Jazyk:angličtina
Vydáno: 29.04.2023
ISSN:2349-848X
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Abstract The pulse transit time (PTT) is a physiological parameter commonly derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) signal. It is defined as the time taken for the arterial pulse to travel from the heart to a peripheral site, and can be used as a direct indicator of Cardiovascular Diseases (CVD). In this study, we propose a new low-complexity algorithm for the (PTT) estimation. The (PTT) is calculated as the interval between the peak of the ECG R-wave and a time point on the PPG. We considered a dataset of 37 subjects containing a simultaneous recording of the (ECG) and the (PPG). The computation of the (PTT) consists of detecting the peak and foot points of a (PPG) and the R peak of the (ECG) signal. Our algorithm is improved by a temporal analysis by windowing. The results obtained are promising. The average sensitivity (SEN) and accuracy (ACC) obtained are respectively (97.5%, and 96.82%) for the detection of R peaks and (97.77%, and 97.64%) for the detection of PPG peaks. The sensitivity (SEN) and accuracy (ACC) of the foot (PPG) detection were 98.33% and 94.14%.
AbstractList The pulse transit time (PTT) is a physiological parameter commonly derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) signal. It is defined as the time taken for the arterial pulse to travel from the heart to a peripheral site, and can be used as a direct indicator of Cardiovascular Diseases (CVD). In this study, we propose a new low-complexity algorithm for the (PTT) estimation. The (PTT) is calculated as the interval between the peak of the ECG R-wave and a time point on the PPG. We considered a dataset of 37 subjects containing a simultaneous recording of the (ECG) and the (PPG). The computation of the (PTT) consists of detecting the peak and foot points of a (PPG) and the R peak of the (ECG) signal. Our algorithm is improved by a temporal analysis by windowing. The results obtained are promising. The average sensitivity (SEN) and accuracy (ACC) obtained are respectively (97.5%, and 96.82%) for the detection of R peaks and (97.77%, and 97.64%) for the detection of PPG peaks. The sensitivity (SEN) and accuracy (ACC) of the foot (PPG) detection were 98.33% and 94.14%.
Author Lilia, Radjef
Tahar, Omari
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