Analysis of Age-Related Variations in Photoplethysmography: A Machine Learning Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61625-9_11
Reference22 articles.
1. Allen, J.: Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 28, R1–39 (2007)
2. Park, J., Seok, H., Kim, S.-S., Shin, H.: Photoplethysmogram analysis and applications: an integrative review. Front. Physiol. 12, 03 (2022)
3. Vulcan, R., André, S., Bruyneel, M.: Photoplethysmography in normal and pathological sleep. Sensors (Basel, Switzerland) 21 (2021)
4. Lombardi, S., et al.: Classifying sepsis from photoplethysmography. Health Inf. Sci. Syst. 10(1), 30 (2022)
5. Chen, S., et al.: Multi-view cross-fusion transformer based on kinetic features for non-invasive blood glucose measurement using PPG signal. IEEE J. Biomed. Health Inform. PP (2024)
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