DocumentCode
636990
Title
A preliminary study investigating the quantification of beat-to-beat in seismocardiogram signals
Author
Inan, Omer T. ; Pandia, Keya ; Giovangrandi, Laurent ; Zamanian, Roham T. ; Kovacs, Gregory T. A.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fYear
2013
fDate
3-7 July 2013
Firstpage
7286
Lastpage
7289
Abstract
Ballistocardiography and seismocardiography are both non-invasive mechanical measurements of the vibrations of the body in response to the heartbeat. The ballistocardiogram (BCG) signal represents the movements of the whole body in response to cardiac ejection of blood into the vasculature; the seismocardiogram (SCG) corresponds to local vibrations of the chest wall associated with sub-audible tissue and blood movement and audio frequency heart-valve closure dynamics. This paper focuses on methods for quantifying “signal consistency”-a quantitative measure of how morphologically similar each heartbeat in a patient´s recording is compared to the ensemble average taken over the recording. Before comparing each beat to the average, known physiological sources of inconsistency-such as respiratory amplitude and timing variability-are removed, then the remaining inconsistency is quantified. Previously described methods for BCG signals are expanded to fit the high-frequency (> 20 Hz) components of the SCG. The use of this method in future work could help enable proactive management of heart disease in extra-clinical settings.
Keywords
biological tissues; biomechanics; blood; cardiovascular system; diseases; medical signal processing; vibrations; BCG signal; SCG signals; audio frequency heart-valve closure dynamics; ballistocardiogram signal; beat-beat morphological consistency quantification; blood cardiac ejection; blood movement; body movements; chest wall; heart disease; heartbeat; high-frequency components; local vibrations; noninvasive mechanical measurements; patient recording; physiological sources; quantitative measurement; respiratory amplitude; seismocardiogram signals; subaudible tissue; vasculature; Diseases; Educational institutions; Heart rate variability; Morphology; Noise; Vectors;
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.2013.6611240
Filename
6611240
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