2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 13 , Issue 1 , PP: 59-70, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Zainab A. Wajeeh 1 * , Sadiq J. Hamandi 2 , Wisam S. Alobaidi 3
Doi: https://doi.org/10.54216/JISIoT.130105
Cardiovascular diseases detection or diagnosis on appropriate time is crucial to avoid health complications. In this study, an advanced procedure for classifying changes in the blood pressure has been used analyzing the wave-forms inside the arterial system where such variation can occur due to improper timing in intra-aortic balloon pump (IABP) control. Inaccurate pressure extends with probable injury can be caused by improper timing in the heart valve in both pumping and compression of the balloon. This investigation focuses on accurately recognizing and classifying any irregularities in the artery wave-forms in IABP in the blood pressure initiated by mistiming. Accumulated blood pressure records are used for the progression of providing information to IABP trainer. The wave-forms require pre-handling employing image digitizing software to acquire automated identifications. Any undesirable image features have been removed using Wavelet in MATLAB software. Afterward, such features can be employed to develop a technique for arrangement depending on neural networks. The artificial neural network technique has used marked data to properly detect irregularities in wave-forms in vascular blood pressure due to improper IABP timing. As a result, the validation has proved to appropriately recognize and classify such anomalies, denoting a considerable prospect to improve patient protection with an efficacy of treatment in the area of cardiovascular prescription.
Intra-aortic balloon pump , arterial blood pressure wave , IABP trainer , machine learning timing , neural network , arrangement algorithm
[1] El Massari H, Gherabi N, Mhammedi S, Ghandi H, Bahaj M, Naqvi MR. The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms. International Journal of Online & Biomedical Engineering 2022;18.
[2] De Silva K, Lumley M, Kailey B, Alastruey J, Guilcher A, Asrress KN, et al. Coronary and microvascular physiology during intra-aortic balloon counterpulsation. JACC: Cardiovascular Interventions 2014;7:631–40.
[3] Webb CA-J, Weyker PD, Flynn BC. Management of intra-aortic balloon pumps. Seminars in Cardiothoracic and vascular anesthesia, vol. 19, SAGE Publications Sage CA: Los Angeles, CA; 2015, p. 106–21.
[4] Briggs K, Najarro G, Mirza O. Intra-aortic balloon pump counterpulsation. Interventional Critical Care: A Manual for Advanced Practice Providers 2021:203–14.
[5] Krishna M, Zacharowski K. Principles of intra-aortic balloon pump counterpulsation. Continuing Education in Anaesthesia, Critical Care & Pain 2009;9:24–8.
[6] Kralev A, Kalisnik JM, Bauer A, Sirch J, Fittkau M, Fischlein T. Impact of prophylactic intra-aortic balloon pump on early outcomes in patients with severe left ventricular dysfunction undergoing elective coronary artery bypass grafting with cardiopulmonary bypass. International Journal of Cardiology 2023;385:8–15.
[7] Schreuder JJ, Maisano F, Donelli A, Jansen JRC, Hanlon P, Bovelander J, et al. Beat-to-beat effects of intraaortic balloon pump timing on left ventricular performance in patients with low ejection fraction. The Annals of Thoracic Surgery 2005;79:872–80.
[8] Kanchi M, NV AC. Intra-aortic Balloon Pump—Current Status. Journal of Cardiac Critical Care TSS 2018;2:71–8.
[9] Parissis H, Graham V, Lampridis S, Lau M, Hooks G, Mhandu PC. IABP: history-evolution-pathophysiology-indications: what we need to know. Journal of Cardiothoracic Surgery 2016;11:1–13.
[10] Parissis H, Soo A, Al-Alao B. Intra aortic balloon pump: literature review of risk factors related to complications of the intraaortic balloon pump. Journal of Cardiothoracic Surgery 2011;6:1–6.
[11] Litton E, Bass F, Delaney A, Hillis G, Marasco S, McGuinness S, et al. Six-month outcomes after high-risk coronary artery bypass graft surgery and preoperative intra-aortic balloon counterpulsation use: an inception cohort study. Journal of Cardiothoracic and Vascular Anesthesia 2018;32:2067–73.
[12] Bourouhou A, Jilbab A, Nacir C, Hammouch A. Heart sound signals segmentation and multiclass classification 2020.
[13] Chalumuri YR, Kimball JP, Mousavi A, Zia JS, Rolfes C, Parreira JD, et al. Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals. Sensors 2022;22:1336.
[14] Akodad M, Delmas C, Bonello L, Duflos C, Roubille F. Intra‐aortic balloon pump: is the technique really outdated? ESC Heart Failure 2020;7:1025–30.
[15] Saleh BJ, Al_Taie RRK, Mhawes AA. Machine Learning Architecture for Heart Disease Detection: A Case Study in Iraq. International Journal of Online & Biomedical Engineering 2022;18.
[16] El Hamdaoui H, Boujraf S, El Houda Chaoui N, Alami B, Maaroufi M. Improving Heart Disease Prediction Using Random Forest and AdaBoost Algorithms. International Journal of Online & Biomedical Engineering 2021;17.
[17] Barbara Charchekhandra. (2023). The Reading and Analyzing Of The Brain Electrical Signals To Execute a Control Command and Move an Automatic Arm. Pure Mathematics For Theoretical Computer Science , 1 ( 1 ), 08-16 (Doi : https://doi.org/10.54216/PMTCS.010101)
[18] Digitizer IP. How to extract data from graphs using plot digitizer or getdata graph digitizer 2020.
[19] Rohatgi A. WebPlotDigitizer user manual version 3.4. URL Http://Arohatgi Info/WebPlotDigitizer/App 2014:1–18.
[20] Zahraa Hasan. (2023). Deep Learning for Super Resolution and Applications. Galoitica Journal of Mathematical Structures and Applications , 8 ( 2 ), 34-42 (Doi : https://doi.org/10.54216/GJMSA.080204)
[21] Gangopadhyay A, Singh P, Raman S. APEX-net: automatic plot extraction network. 2022 National Conference on Communications (NCC), IEEE; 2022, p. 24–9.
[22] Hourri M, Alaa N. Hybridization of Neural Networks and Sine Cosine Algorithm for an Optimal Neural Network Architecture Applied to Prevent Heart Attacks. International Journal of Online & Biomedical Engineering 2022;18.
