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Principal Components Analysis as a de-noising method applied to laser Doppler reactive hyperemia signals

C. Mansouri, A. Humeau, P. Abraham, and J.P. L’Huillier

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Abstract

De-noising of reactive hyperemia signals obtained with laser Doppler flowmetry could lead to improved diagnoses of peripheral arterial occlusive diseases. An algorithm based on principal component analysis was applied to signals acquired on different subjects.

© 2005 Optical Society of America

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