Analysis of time series for non-invasive characterization of blood components and circulation patterns
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Analysis,Control and Systems Engineering
Reference17 articles.
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3. Optical properties of circulating human blood in the wavelength range 400–2500 nm;Roggan;J. Biomed. Opt.,1999
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5. Chirurgische Anatomie der Hand;Schmidt,1992
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1. Investigation of Non-invasive Hemoglobin Estimation Using Photoplethysmograph Signal and Machine Learning;Computational Vision and Bio-Inspired Computing;2020
2. Non-invasive Estimation of Haemoglobin Level Using PCA and Artificial Neural Networks;The Open Biomedical Engineering Journal;2019-12-17
3. Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network;Medical & Biological Engineering & Computing;2011-07-12
4. On Non-Invasive Measurement of Gastric Motility from Finger Photoplethysmographic Signal;Annals of Biomedical Engineering;2010-07-08
5. Optical sensor technology for a noninvasive continuous monitoring of blood components;SPIE Proceedings;2010-02-11
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