Machine learning based SpO2 prediction from PPG signal's characteristics features
Author:
Affiliation:
1. Ss. Cyril and Methodius University,Faculty of Computer Science and Engineering,Skopje,North Macedonia
2. Institute of Measurement Science, Slovak Academy of Sciences,Bratislava,Slovakia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9855895/9856402/09856498.pdf?arnumber=9856498
Reference19 articles.
1. The Application of Deep Learning Algorithms for PPG Signal Processing and Classification
2. A physiological information extraction method based on wearable PPG sensors with motion artifact removal
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4. Generalized Hampel Filters
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