Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique-Reference-Cited by-同舟云学术

Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique

Published:2023-09 Issue: Volume:19 Page:100251
ISSN:2590-0935
Container-title:Medicine in Novel Technology and Devices
language:en
Short-container-title:Medicine in Novel Technology and Devices

Author:

khan Muzaffar^ORCID,Kumar Singh Bikesh,Nirala Neelamshobha

Publisher

Elsevier BV

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous)

Reference46 articles.

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4. Advances in non-invasive blood pressure monitoring;Quan;Sensors,2021

5. Kristjan Pilt, Rain Ferenets, Kalju Meigas, Lars-Goran Lindberg, Kristina Temitski, and Margus Viigimaa. New photoplethysmographic signal analysis algorithm for arterial stiffness estimation. Sci World J, vol. 2013, Article ID 169035, 9 pages. https://doi.org/10.1155/2013/169035.

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1. Tunable Q -factor wavelet transform based identification of diabetic patients using ECG signals;Computer Methods in Biomechanics and Biomedical Engineering;2024-04-18

2. A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG);Journal of Cardiovascular Translational Research;2023-11-27

3. Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method;Neural Computing and Applications;2023-11-20