Document Detail

ECG-based detection of body position changes using a Laplacian noise model.
MedLine Citation:
PMID:  22255932     Owner:  NLM     Status:  MEDLINE    
Body position changes (BPC), which are often manifested in the ECG as shifts in the electrical axis of the heart, result in ST changes, and thus, may be misclassified as ischemic events during ambulatory monitoring. We have developed a BPC detector by modeling shifts as changes in the Karhunen-Loève transform coefficients of the QRS complex and the ST-T waveform. The noise is assumed to have a Laplacian distribution. A generalized likelihood ratio test has been chosen as the strategy to detect BPCs. Two different databases have been used to assess detection performance. The obtained results were 93%/99% in terms of sensitivity/positive predictivity value (S/+PV) and a false alarm rate of 2 events/hour. The results clearly outperform current techniques (S/+PV: 85%/99%) based on the Gaussian noise assumption.
Ana Mincholé; Leif Sörnmo; Pablo Laguna
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2011     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2011  
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-08-08     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6931-4     Citation Subset:  IM    
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MeSH Terms
Electrocardiography / methods*
Electrocardiography, Ambulatory / methods
Equipment Design
False Positive Reactions
Heart Rate
Models, Statistical
Normal Distribution
Predictive Value of Tests
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Signal-To-Noise Ratio

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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