A new seismocardiography segmentation algorithm for diastolic timed vibrations

A new seismocardiography segmentation algorithm for diastolic timed vibrations

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 mi...

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Hauptverfasser: Khosrow-khavar, F., Tavakolian, K., Soleimani-Nouri, M., Kaminska, B., Menon, C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adolescent
Adult
Aged
Aged, 80 and over
Algorithm design and analysis
Algorithms
Diastole - physiology
diastolic timed vibration
Digital TV
Electrocardiography
Electrocardiography - methods
Feature extraction
Heart
Humans
Image Processing, Computer-Assisted
Middle Aged
Prediction algorithms
seismocardiography
Time Factors
Vibration
Vibrations
Young Adult
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Beschreibung
Zusammenfassung: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.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/EMBC.2013.6611238