<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-J4PASJWP</identifier><date>2019</date><creator>Kos, Anton</creator><creator>Siddiqui, Sarah Ali</creator><creator>Zhang, Yuan</creator><creator>Zhang, Yuwei</creator><relation>documents/doc/J/URN_NBN_SI_doc-J4PASJWP_001.pdf</relation><relation>documents/doc/J/URN_NBN_SI_doc-J4PASJWP_001.txt</relation><format format_type="issue">1/2</format><format format_type="volume">86</format><format format_type="type">article</format><format format_type="extent">str. 68-74</format><identifier identifier_type="ISSN">0013-5852</identifier><identifier identifier_type="COBISSID_HOST">12418900</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-J4PASJWP</identifier><language>eng</language><publisher>Strokovna zadruga koncesijoniranih elektrotehnikov</publisher><source>Elektrotehniški vestnik</source><rights>InC</rights><subject language_type_id="slv">fotopletizmografija</subject><subject language_type_id="eng">healthcare based on machine learning</subject><subject language_type_id="slv">neinvazivna metoda ocene krvnega sladkorja</subject><subject language_type_id="eng">non-invasive blood-glucose estimation</subject><subject language_type_id="slv">pametni telefon</subject><subject language_type_id="eng">photoplethysmography</subject><subject language_type_id="slv">podprostorski KNN klasifikator</subject><subject language_type_id="slv">PPG</subject><subject language_type_id="eng">smartphone</subject><subject language_type_id="slv">strojno učenje v zdravstvu</subject><subject language_type_id="eng">subspace KNN classifier</subject><title>Non-invasive blood-glucose estimation using smartphone PPG signals and subspace KNN classifier</title></Record>