Neural network for photoplethysmographic respiratory rate monitoring

Author:

Johansson A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference26 articles.

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2. Aoyagi, T., Kishi, M., Yamaguchi, K., andWatanable, S. (1974): ‘Improvement of the earpiece oximeter’,Proc. 13th Ann. Meet. Japanese Soc. Med. Electron. Biol. Eng.

3. Bishop, C. M. (1995): ‘Neural networks for pattern recognition’, (Oxford University Press, Oxford, 1995).

4. Buda, A. J., Pinsky, M. R., Ingels, N. B., Daughters, G. T., Stinson, E. B., andAlderman, E. L. (1979): ‘Effect of intrathoracic pressure on left ventricular performance’,N. Engl. J. Med.,301, pp. 453–459.

5. Challoner, A. V. J. (1979): ‘Photoelectric plethysmography for estimating cutaneous blood flow’, inRolfe, P. (Ed.): ‘Non-invasive physiological measurements’, (Academic Press, London, 1979), pp. 125–151.

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