Title :
A new seismocardiography segmentation algorithm for diastolic timed vibrations
Author :
Khosrow-khavar, Farzad ; Tavakolian, Kouhyar ; Soleimani-Nouri, M. ; Kaminska, Bozena ; Menon, Carlo
Author_Institution :
MENRVA Lab., BC, Canada
Abstract :
An algorithm based on the combination of electrocardiography (ECG) and seismocardiogranphy (SCG) is used to detect the start and the end of diastole in diastolic timed vibrations (DTV). The proposed algorithm uses the ECG-R wave as the reference point and detects the aortic valve closure (AC) and mitral valve closure (MC) points of the SCG signal. This algorithm enables DTV to operate very efficiently in comparison with previous ECG based algorithm. Prediction rate of 95 and 88 percent was achieved for detection of SCG-MC and SCG-AC respectively.
Keywords :
electrocardiography; medical signal detection; medical signal processing; vibrations; DTV; ECG-R wave; SCG signal; SCG-AC; SCG-MC; aortic valve closure detects; diastolic timed vibrations; electrocardiography; mitral valve closure points; seismocardiography segmentation algorithm; Algorithm design and analysis; Digital TV; Electrocardiography; Feature extraction; Heart; Prediction algorithms; Vibrations; diastolic timed vibration; seismocardiography;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6611238
