DocumentCode
1829874
Title
BSeg++: A modified Blind Segmentation Method for Ballistocardiogram Cycle Extraction
Author
Akhbardeh, A. ; Kaminska, Bozena ; Tavakolian, Kouhyar
Author_Institution
Tampere Univ. of Technol., Tampere
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
1896
Lastpage
1899
Abstract
This paper presents a method to extract cardiac cycles and H-I-J components of Ballistocardiogram (BCG). The new improved algorithm BSeg++ permits on the segmentation of BCG signal and extraction of its basic complexes H-I-J without Electrocardiogram (ECG) synchronization. The BSeg++ is based on two previously developed methods described in [1, 2, 3] for extracting BCG cycles without using a reference ECG signal. Those methods suffered from extract redundant BCG cycles because of motion artifacts or BCG fluctuations. In this study, we modified the blind segmentation algorithm and solved its problems. We also added another feature to detect H-I-J complexes of BCG. Also, this new algorithm can be used to extract cardiac cycles and R-S-T components of ECG. The data analysis has been performed on the subjects tested at Simon Fraser University. Initial tests of BCG and ECG from twenty subjects indicate that the method extracted BCG (ECG) cycles and its components with a negligible error in the presence of motion artifacts, BCG fluctuations, latency and non-linear disturbance.
Keywords
electrocardiography; medical signal processing; BSeg++; ballistocardiogram cycle extraction; cardiac cycles; electrocardiogram; modified blind segmentation method; motion artifacts; Band pass filters; Blood; Data mining; Electrocardiography; Fluctuations; Force measurement; Force sensors; Heart; Signal processing; Testing; Algorithms; Artifacts; Ballistocardiography; Data Compression; Data Interpretation, Statistical; Electrocardiography; Equipment Design; Heart Diseases; Humans; Models, Statistical; Motion; Reproducibility of Results; Signal Processing, Computer-Assisted; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352686
Filename
4352686
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