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Time series for blind biosignal classification model
Wong D.F.; Chao L.S.; Zeng X.; Vai M.-I.; Lam H.-L.
2014-11-01
Source PublicationComputers in Biology and Medicine
ISSN18790534 00104825
Volume54Pages:32-36
Abstract

Biosignals such as electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG), are important noninvasive measurements useful for making diagnostic decisions. Recently, considerable research has been conducted in order to potentially automate signal classification for assisting in disease diagnosis. However, the biosignal type (ECG, EEG, EMG or other) needs to be known prior to the classification process. If the given biosignal is of an unknown type, none of the existing methodologies can be utilized. In this paper, a blind biosignal classification model (BSC Model) is proposed in order to identify the source biosignal type automatically, and thus ultimately benefit the diagnostic decision. The approach employs time series algorithms for constructing the model. It uses a dynamic time warping (DTW) algorithm with clustering to discover the similarity between two biosignals, and consequently classifies disease without prior knowledge of the source signal type. The empirical experiments presented in this paper demonstrate the effectiveness of the method as well as the scalability of the approach.

KeywordBioinformatics Blind Biosignal Classification Dynamic Time Warping (Dtw) Machine Learning Time Series Clustering
DOI10.1016/j.compbiomed.2014.08.007
URLView the original
Indexed BySCI
Language英语
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
WOS SubjectBiology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
WOS IDWOS:000345189800004
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Wong D.F.,Chao L.S.,Zeng X.,et al. Time series for blind biosignal classification model[J]. Computers in Biology and Medicine,2014,54:32-36.
APA Wong D.F.,Chao L.S.,Zeng X.,Vai M.-I.,&Lam H.-L..(2014).Time series for blind biosignal classification model.Computers in Biology and Medicine,54,32-36.
MLA Wong D.F.,et al."Time series for blind biosignal classification model".Computers in Biology and Medicine 54(2014):32-36.
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