Autors: Iliev, I. T., Krasteva, V. T., Jekova, I. I., Ненова Б. Д. Title: Algorithm for real-time pulse wave detection dedicated to non-invasive pulse sensing Keywords: Pulse wave, pulse wave detection Abstract: This study presents a simple algorithm for pulse wave PW detection dedicated to real-time pulse sensing devices in an emergency. Two basic principles are implemented - identification of extrema by time-amplitude criteria, and validation of the most prominent rising edges preceding the systolic peak according to criteria for slope and similarity to neighbors within 4 s. The pilot version of the algorithm (Matlab implementation) is developed and tested over independent subsets of arterial pressure PW signals from MGH/MF waveform PhysioNet database. Referring to ECG-synchronized beat annotations, the following performance is reported for the test set: positive predictivity PPV=96.4 %, sensitivity Se=98.9 % (443116/447983) for normal beats, Se=92 % (5522/6004) for supraventricular beats, Se=78.7 % (2834/3603) for premature ventricular beats, Se=97 % (27691/28547) for paced beats. References Issue
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Цитирания (Citation/s):
1. An automatic recognition algorithm for feature points of photoplethysmography - 2019 - в издания, индексирани в Scopus или Web of Science
2. A Robust Pulse Onset and Peak Detection Method for Automated PPG Signal Analysis System - 2019 - в издания, индексирани в Scopus или Web of Science
3. Use of zero-frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal - 2019 - в издания, индексирани в Scopus или Web of Science
4. Application of Active Biased Integrators for Biosignal Processing - 2021 - в издания, индексирани в Scopus или Web of Science
5. Kazemi, K., Laitala, J., Azimi, I., Liljeberg, P., Rahmani, A.M., Robust PPG Peak Detection Using Dilated Convolutional Neural Networks - 2022 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание