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Automatic ballistocardiogram (BCG) beat detection using a template matching approach

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dc.contributor.authorShin, J H-
dc.contributor.authorChoi, B H-
dc.contributor.authorLim, Y G-
dc.contributor.authorJeong, D U-
dc.contributor.authorPark, K S-
dc.date.accessioned2010-06-28-
dc.date.available2010-06-28-
dc.date.issued2009-01-24-
dc.identifier.citationConf Proc IEEE Eng Med Biol Soc. 2008;1144-1146en
dc.identifier.issn1557-170X (Print)-
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19162866-
dc.identifier.urihttp://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=04649363&isnumber=4649055-
dc.identifier.urihttps://hdl.handle.net/10371/67883-
dc.description.abstractThis paper suggests a beat detection method for ballistocardiogram (BCG) from an unconstrained cardiac signal monitoring devices. A fiducial peak point of BCG is an I-J-K complex which corresponds with ventricle contraction and Electrocardiogram (ECG) QRS complex. The goal of the method is extraction of J peak without ECG synchronization. The detection method is based on a "template matching" rule evaluated using a correlation function in a local moving-window procedure. The total beat detection algorithm operates in two stages, template definition stage and beat detection stage with defined template in previous stage. In the first stage, the BCG template is constructed by the expert with an empirical analysis of BCG signal and measurement device. In the second stage, the correlation function calculates an accuracy of template with BCG signal using a local moving-window. The data analysis has been performed on the subjects tested at Seoul National University Hospital Sleep Medicine Center and presents 95.16% of sensitivity and 94.76% of positive predictivity value for the J peak detection.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subject*Algorithmsen
dc.subject*Artificial Intelligenceen
dc.subjectBallistocardiography/*methodsen
dc.subjectDiagnosis, Computer-Assisted/*methodsen
dc.subjectHeart Rate/*physiologyen
dc.subjectPattern Recognition, Automated/*methodsen
dc.subjectReproducibility of Resultsen
dc.subjectSensitivity and Specificityen
dc.titleAutomatic ballistocardiogram (BCG) beat detection using a template matching approachen
dc.typeArticleen
dc.identifier.doi10.1109/IEMBS.2008.4649363-
Appears in Collections:
College of Medicine/School of Medicine (의과대학/대학원)Psychiatry (정신과학전공)Journal Papers (저널논문_정신과학전공)
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