Photoplethysmography in Cardiovascular Disfunction Detection: Signal Processing, Analysis, Implementation. A Review
Main Article Content
Abstract
Photoplethysmography is a non-invasive physical method used for monitoring arterial blood flow in the subject's body by measuring the amount of light absorbed or reflected by the pulsatile blood flow within the vessels. It is commonly used in wearable devices, primarily for pulse measurement. In ambulatory and clinical practice, it is implemented in pulse oximetry for the estimation of pulse and blood oxygen saturation levels. However, this method has the potential for a much broader range of measurements, such as detecting atrial fibrillation episodes. Innovative applications of this field continue to emerge in the analysis of the cardiovascular system, along with the implementation of new technological solutions aimed at analyzing and improving signal quality. Thus, we have decided to collect information on the current advancements in the field of photoplethysmography. Also, the aim of this mini-review was to bring closer non-obvious applications of photoplethysmography and its development prospects.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
J. Lee, K. Matsumura, K. Yamakoshi, P. Rolfe, S. Tanaka, T. Yamakoshi, in: 2013 35th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2013, p. 1724
S. Prahl, "Tabulated Molar Extinction Coefficient for Hemoglobin in Water", Oregon Medical Laser Center, 1998
W.B. Gratzer, A.C. Allison, Bio. Rev. 35, 459 (1960)
N. Kollias, W. Gratzer, Wellman Lab. Harvard Med. School Boston 5, 150 (1999)
E. Badolato, A. Little, V.N. Du Le, Opt. Express 32, 4446 (2024)
R.K. Nath, H. Thapliyal, A. Caban-Holt, in: 2018 IEEE Int. Symp. on Smart Electronic Systems, IEEE, 2018, p. 37
S.M. Sadaghiani, S. Bhadra, in: 2023 IEEE Int. Instrumentation and Measurement Technology Conference (I2MTC), Kuala Lumpur (Malaysia), IEEE, 2023, p. 1
A. Raposo, H.P. da Silva, J. Sanches, in: 2021 43rd Annual Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, IEEE, 2021 p. 7091
C.-H. Huang, D.H. Nguyen, P.C.-P. Chao, in: 2023 IEEE SENSORS, Vienna (Austria), IEEE, 2023
M.F. Ihsan, S. Mandala, M. Pramudyo, in: 2022 Int. Conf. on Data Science and Its Applications (ICoDSA), Bandung (Indonesia), IEEE 2022 p. 300
V.B. Srinivasan, F. Foroozan, in: 2021 29th European Signal Processing Conf. (EUSIPCO), Dublin (Ireland), 2021 p. 1256
D. Pachori, R.K. Tripathy, T.K. Jain, IEEE Sens. Lett. 8, 1 (2024)
P.H. Charlton, K. Kotzen, E. Mejia-Mejia, P.J. Aston, K. Budidha, J. Mant, C. Pettit, J.A Behar, P.A. Kyriacou, Physiol. Meas. 43, 085007 (2022)
P. Peris-Lopez, C. Fuster-Barceló, C. Camara, H. Martin, in: 2023 IEEE 19th Int. Conf. on Body Sensor Networks (BSN), Boston (MA), IEEE, 2023
M.M. Bassiouni, S.A. Gouda, M.A. Abdalgelel, H.A. Elbadry, O.A. Mohamed, N.A. Mahmoud, A.R. Mousa, E.A. El-Dahshan, in: 2023 11th Int. Conf. on Intelligent Computing and Information Systems (ICICIS), Cairo (Egypt), IEEE, 2023, p. 403
T.D. Rahmaniar, A.S. Safitri, Y.N. Fuadah, T.A. Wibowo, L.V. Yovita, in: 2023 IEEE 7th Int. Conf. on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Purwokerto (Indonesia), IEEE, 2023, p. 343
A.J.W. Mathieu, M.S. Pascual, P.H. Charlton, M. Volovaya, J. Venton, P.J. Aston, M. Nandi, J. Alastruey, JRSM Cardiovasc. Dis. 13, 1 (2024)
M. Żyliński, E. Occhipinti, D. Mandic, in: 2023 45th Annual Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney (Australia), 2023
B. Ibrahim, D. Kireev, K. Sel, N. Kumar, A. Akbari, R. Jafari, D. Akinwande, PhysioNet — Open Database, 2000
S. Haddad, A. Boukhayma, G. Di Pietrantonio, A. Barison, G. de Preux, A. Caizzone, in: 2021 43rd Annual Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, IEEE, 2021 p. 1609
R.H. Goudarzi, S. Somayyeh Mousavi, M. Charmi, in: 2020 Int. Conf. on Machine Vision and Image Processing (MVIP), Iran, 2020
F. Shoeibi, E. Najafiaghdam, A. Ebrahimi, in: 2022 30th Int. Conf. on Electrical Engineering (ICEE), Tehran (Iran), IEEE, 2022 p. 951
M. Pałasz, M. Żyliński, G. Cybulski, in: 2020 Computing in Cardiology, Rimini (Italy), 2020
E. Yuda, Y. Ogata, Y. Shoji, M. Yoshizawa, N. Sugita, J. Hayano, in: 2022 Joint 12th Int. Conf. on Soft Computing and Intelligent Systems and 23rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS), Ise (Japan), IEEE 2022