Beyond Cuffs and Needles: Exploring Photoplethysmography-Based Machine Learning for Blood Pressure Estimation
DOI:
https://doi.org/10.32792/jeps.v15i2.455الكلمات المفتاحية:
Photoplethysmography، Blood Pressure، Feature extraction، Classification، Machine learningالملخص
This study explores the use of machine learning techniques to classify blood pressure (BP) based on Photoplethysmography (PPG) signals. Three popular algorithms - decision trees (DT), random forests (RF), and support vector machines (SVM) - were evaluated. The RF model outperformed the DT and SVM models with nearly 98%, 98% accuracy and F-score respectively , demonstrating its ability to capture complex non-linear relationships between PPG features and BP. It also showed robust performance in the presence of noise and variations in input PPG signals, making it a promising choice for real-world BP monitoring applications.
التنزيلات
منشور
إصدار
القسم
الرخصة
الحقوق الفكرية (c) 2025 Journal of Education for Pure Science

هذا العمل مرخص بموجب Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The Authors understand that, the copyright of the articles shall be assigned to Journal of education for Pure Science (JEPS), University of Thi-Qar as publisher of the journal.
Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , will be allowed only with a written permission from Journal of education for Pure Science (JEPS), University of Thi-Qar.
Journal of education for Pure Science (JEPS), University of Thi-Qar, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in the Journal of education for Pure Science (JEPS), University of Thi-Qar are sole and exclusive responsibility of their respective authors and advertisers.