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Automatic ballistocardiogram (BCG) beat detection using a template matching approach.
Shin, J H; Choi, B H; Lim, Y G; Jeong, D U; Park, K S.
Affiliation
  • Shin JH; Biomedical Engineering Department of Seoul National University, Seoul, South Korea. russell@bmsil.snu.ac.kr
Article in En | MEDLINE | ID: mdl-19162866
ABSTRACT
This 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ballistocardiography / Algorithms / Pattern Recognition, Automated / Artificial Intelligence / Diagnosis, Computer-Assisted / Heart Rate Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2008 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ballistocardiography / Algorithms / Pattern Recognition, Automated / Artificial Intelligence / Diagnosis, Computer-Assisted / Heart Rate Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2008 Document type: Article