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Advanced Potential of the Photolpetismograph PPG-2 in the Non-invasive Vascular Diagnosis

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dc.contributor.author SLOBOZEANU, A.
dc.contributor.author ZATUŞEVSKI, I.
dc.contributor.author CREŢU, A.
dc.contributor.author SONTEA, V.
dc.date.accessioned 2019-10-15T10:48:10Z
dc.date.available 2019-10-15T10:48:10Z
dc.date.issued 2011
dc.identifier.citation SLOBOZEANU, A., ZATUŞEVSKI, I., CREŢU, A. et al. Advanced Potential of the Photolpetismograph PPG-2 in the Non-invasive Vascular Diagnosis. In: ICNBME-2011. International conference on Nanotechnologies and Biomedical Engineering. German-moldovan workshop on Novel Nanomaterials for Electronic, Photonic and Biomedical Applications: proc. of the intern. conf., July 7-8, 2011. Chişinău, 2011, pp. 304-306. ISBN 978-9975-66-239-0. en_US
dc.identifier.isbn 978-9975-66-239-0
dc.identifier.uri http://repository.utm.md/handle/5014/4692
dc.description.abstract Advanced sensor device for shape analysis of the tissue-reflected mean single period photoplethysmography (PPG) signals have been designed and clinically tested. The PPG signal shape reveals individual features of the patient's cardiovascular state. Clinical studies of several patient groups (e.g. diabetes mellitus, atherosclerosis obliterans, Reynaud’s syndrome) made it possible to specify components of the PPG signal that are sensitive to the corresponding organic or functional pathologies. Comparison of the right and left arm finger PPG signal shapes, for instance, appears to be an efficient tool for early screening of unilateral atherosclerosis obliterans. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject photoplethysmography en_US
dc.subject optical bio-sensing en_US
dc.subject diabetes en_US
dc.subject atherosclerosis en_US
dc.subject Reynaud’s syndrome en_US
dc.title Advanced Potential of the Photolpetismograph PPG-2 in the Non-invasive Vascular Diagnosis en_US
dc.type Article en_US


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