Sensitivity of T-wave morphology and the QT interval to small drug-induced electrocardiographic changes

Graff, Claus; Matz, Jørgen; Andersen, Mads Peter; Kanters, Jørgen K.; Toft, Egon; Pehrson, Steen; Struijk, Johannes

doi:10.1109/cic.2008.4749042

2008 Computers in Cardiology 2008

DOI: 10.1109/cic.2008.4749042

|View full text |Cite

Sensitivity of T-wave morphology and the QT interval to small drug-induced electrocardiographic changes

Claus Graff

Jørgen Matz

Mads Peter Andersen

et al.

Abstract: The electrocardiographic QT QTcF, 0.87±0.14, p=0.0013.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2009

2010

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Research on T-wave morphology analysis in ECG signal

Song

Yan

Xiao

2010

2010 3rd International Conference on Biomedical Engineering and Informatics

View full text Add to dashboard Cite

T-wave morphology classification and recognition plays an important role in clinical diagnosis based on Electrocardiogram (ECG). The integrated method based on Principal Component Analysis (PCA), threshold, linear regression, and symbolic method was used to analyze T-wave morphologies in this paper, and it was simple and convenient to implement. All kinds of T-wave shapes, expressed by symbol 'ABCDE', could be included by this method, and the recognition results were obvious, which could provide a reliable scientific basis for the clinical detection. After European ST-T database verification, the accuracy of T-wave morphology analysis was above 92%.

show abstract

Research on T-wave morphology analysis in ECG signal

Song

Yan

Xiao

2010

2010 3rd International Conference on Biomedical Engineering and Informatics

View full text Add to dashboard Cite

show abstract

A Real-Time Algorithm to Detect Inverted and Symmetrical T-Wave

Zarrini

Sadr

2009

2009 Second International Conference on Computer and Electrical Engineering

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Sensitivity of T-wave morphology and the QT interval to small drug-induced electrocardiographic changes

Abstract: The electrocardiographic QT QTcF, 0.87±0.14, p=0.0013.

Cited by 2 publications

References 13 publications

Research on T-wave morphology analysis in ECG signal

Research on T-wave morphology analysis in ECG signal

A Real-Time Algorithm to Detect Inverted and Symmetrical T-Wave

Contact Info

Product

Resources

About