Multi-Gaussian fitting for the assessment of left ventricular ejection time from the Photoplethysmogram
- Resource Type
- Conference
- Authors
- Couceiro, R.; Carvalho, P.; Paiva, R. P.; Henriques, J.; Antunes, M.; Quintal, I.; Muehlsteff, J.
- Source
- 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. :3951-3954 Aug, 2012
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Algorithm design and analysis
Estimation
Echocardiography
Heart
Fingers
Cardiovascular diseases
- Language
- ISSN
- 1557-170X
1094-687X
1558-4615
The Left ventricular ejection time (LVET) is one of the primary surrogates of the left ventricular contractility and stroke volume. Its continuous monitoring is considered to be a valuable hypovolumia prognostic parameter and an important risk predictor in cardiovascular diseases such as cardiac and light chain amyloidosis. In this paper, we present a novel methodology for the assessment of LVET based the Photoplethysmographic (PPG) waveform. We propose the use of Gaussian functions to model both systolic and diastolic phases of the PPG beat and consequently determine the onset and offset of the systolic ejection from the analysis of the systolic phase 3 rd derivative. The results achieved by the proposed methodology were compared with the algorithm proposed by Chan et al. [1], revealing better estimation of LVET (15.84 ± 13.56 ms vs 23.01 ± 14.60 ms), and similar correlation with the echocardiographic reference (0.73 vs 0.75).