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

fYear

2013

fDate

3-7 July 2013

Firstpage

7278

Lastpage

7281

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

Conference_Location

Osaka

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2013.6611238

Filename

6611238