Authors:
Z. Trefny
;
J. Svacinka
;
S. Trojan
;
J. Slavicek
;
P. Smrcka
and
K. Hana
Affiliation:
Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic
Keyword(s):
Time-domain segmentation of the seismocardiogram, J-wave recognition.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
;
Time and Frequency Response
;
Time-Frequency Analysis
Abstract:
The device for quantitative seismocardiography (QSCG) detects cardiac vibrations as they affect the entire body; the measuring sensors (solid-state accelerometers) are usually placed in the plate of the chair – additional instruments applied on the proband’s body are not required. The results of the QSCG analysis are usable in various clinical fields. The first and most important step in the process of detection of significant characteristics of measured QSCG curves is to detect pseudo-periods in the signal regardless of the initial pseudo-period position. Other characteristics can be acquired by a relatively simple process over the appointed pseudo-period. We have developed the experimental equipment for the QSCG measuring and analysis. We have also developed special algorithms for preprocessing, segmentation and interactive analysis of the QSCG signal. In this contribution we will introduce technical principles of the quantitative seismocardiography and then we will focus on the or
iginal method for the basic segmentation of the QSCG signal in time-domain; the method is easy, robust and is appropriate for real-time QSCG processing.
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