Multi-Gaussian fitting for the assessment of left ventricular ejection time from the Photoplethysmogram

作者: R. Couceiro , P. Carvalho , R. P. Paiva , J. Henriques , M. Antunes

DOI: 10.1109/EMBC.2012.6346831

关键词: Left ventricular contractilityContinuous monitoringGaussianRisk predictorStroke volumePhotoplethysmogramInternal medicineLeft Ventricular Ejection TimeDiastoleMedicineCardiology

摘要: The Left ventricular ejection time (LVET) is one of the primary surrogates left contractility and stroke volume. Its continuous monitoring considered to be a valuable hypovolumia prognostic parameter an important risk predictor in cardiovascular diseases such as cardiac light chain amyloidosis. In this paper, we present novel methodology for assessment LVET based Photoplethysmographic (PPG) waveform. We propose use Gaussian functions model both systolic diastolic phases PPG beat consequently determine onset offset from analysis phase 3rd derivative. results achieved by proposed were compared with algorithm Chan et al. [1], revealing better estimation (15.84 ± 13.56 ms vs 23.01 14.60 ms), similar correlation echocardiographic reference (0.73 0.75).

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