Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals

Show full item record



Permalink

http://hdl.handle.net/10138/161274

Citation

Paukkunen , M , Parkkila , P , Hurnanen , T , Pankaala , M , Koivisto , T , Nieminen , T , Kettunen , R & Sepponen , R 2016 , ' Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals ' , IEEE Journal of Biomedical and Health Informatics , vol. 20 , no. 2 , pp. 435-439 . https://doi.org/10.1109/JBHI.2015.2391437

Title: Beat-by-Beat Quantification of Cardiac Cycle Events Detected From Three-Dimensional Precordial Acceleration Signals
Author: Paukkunen, Mikko; Parkkila, Petteri; Hurnanen, Tero; Pankaala, Mikko; Koivisto, Tero; Nieminen, Tuomo; Kettunen, Raimo; Sepponen, Raimo
Contributor: University of Helsinki, Clinicum
Date: 2016-03
Language: eng
Number of pages: 5
Belongs to series: IEEE Journal of Biomedical and Health Informatics
ISSN: 2168-2194
URI: http://hdl.handle.net/10138/161274
Abstract: The vibrations produced by the cardiovascular system that are coupled to the precordium can be noninvasively detected using accelerometers. This technique is called seismocardiography. Although clinical applications have been proposed for seismocardiography, the physiology underlying the signal is still not clear. The relationship of seismocardiograms of on the back-to-front axis and cardiac events is fairly well known. However, the 3-D seismocardiograms detectable with modern accelerometers have not been quantified in terms of cardiac cycle events. A major reason for this might be the degree of intersubject variability observed in 3-D seismocardiograms. We present a method to quantify 3-D seismocardiography in terms of cardiac cycle events. First, cardiac cycle events are identified from the seismocardiograms, and then, assigned a number based on the location in which the corresponding event was found. 396 cardiac cycle events from 9 healthy subjects and 120 cardiac cycle events from patients suffering from atrial flutter were analyzed. Despite the weak intersubject correlation of the waveforms (0.05, 0.27, and 0.15 for the x-, y-, and z-axes, respectively), the present method managed to find latent similarities in the seismocardiograms of healthy subjects. We observed that in healthy subjects the distribution of cardiac cycle event coordinates was centered on specific locations. These locations were different in patients with atrial flutter. The results suggest that spatial distribution of seismocardiographic cardiac cycle events might be used to discriminate healthy individuals and those with a failing heart.
Subject: Accelerometer
atrial flutter
ballistocardiography
biomedical signal processing
seismocardiography (SCG)
MYOCARDIAL-INFARCTION
SEISMOCARDIOGRAM
BALLISTOCARDIOGRAPHY
MICROGRAVITY
INFORMATION
MORPHOLOGY
VIBRATIONS
SYSTEM
3121 General medicine, internal medicine and other clinical medicine
217 Medical engineering
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
07008423.pdf 314.1Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record