Machine Learning based SpO2 Computation Using Reflectance Pulse Oximetry

Author:

Venkat Swaathi,Arsath P.S. Mohamed Tanveejul P. S.,Alex Annamol,S.P. Preejith,Balamugesh ,D.J. Christopher,Joseph Jayaraj,Sivaprakasam Mohanasankar

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography;Artificial Intelligence in Medicine;2023-11

2. Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals;Bioengineering;2023-01-28

3. A Deep Learning Approach to Estimate SpO2 from PPG Signals;Proceedings of the 9th International Conference on Bioinformatics Research and Applications;2022-09-18

4. Accuracy enhancement in reflective pulse oximetry by considering wavelength-dependent pathlengths;Physiological Measurement;2022-09-05

5. Machine learning based SpO2 prediction from PPG signal's characteristics features;2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2022-06-22

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