NDLI: Can functional cardiac age be predicted from the ECG in a normal healthy population?

Content Provider	IEEE Xplore Digital Library
Author	Starc, V. Leban, M.A. Sinigoj, P. Vrhovec, M. Potocnik, N. Fernlund, E. Liuba, P. Schlegel, T.T.
Copyright Year	2012
Description	Author affiliation: NASA Johnson Space Center, Houston, Texas, USA (Schlegel, T.T.) \|\| University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia (Starc, V.; Leban, M.A.; Vrhovec, M.; Potocnik, N.) \|\| Pediatric Cardiology Center, Lund, Sweden (Sinigoj, P.; Fernlund, E.; Liuba, P.)
Abstract	We hypothesized that in a normal healthy population changes in several ECG parameters together might reliably characterize the functional age of the heart. Data from 377 healthy subjects (209 men, 168 women, aged 4 to 75 years) were included in the study. In all subjects, ECG recordings (resting 5-minute 12-lead high fidelity ECG) were evaluated via custom software programs to calculate up to 120 different conventional and advanced ECG parameters. Using factor analysis, those 5 parameters that exhibited the highest linear correlations with age and that were mutually the least correlated were evaluated by multiple linear regression analysis to predict the functional electrical age of the heart. Ignoring small differences between males and females, functional electrical age was best predicted $(R^{2}$ of 0.76, P < 0.001) by multiple linear regression analysis incorporating the RR-interval normalized high frequency variability of RRV; the RR-interval normalized value of a QT variability parameter called QTcor; the mean high frequency QRS (150–250 Hz) amplitude; the mean ST segment level at the J point; and the body mass index. In apparently healthy subjects, functional cardiac age can be estimated by multiple linear regression analysis of mostly advanced ECG parameters.
Starting Page	101
Ending Page	104
File Size	237320
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrocardiography Correlation Linear regression Heart Indexes Sociology
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Can functional cardiac age be predicted from the ECG in a normal healthy population?

Can functional cardiac age be predicted from ecg in a normal healthy population

Termination of atrial fibrillation by catheter ablation can be successfully predicted from baseline ECG

Neurohormonal and functional correlates of linear and poincarè plot indexes of heart rate variability in heart failure patients

Left ventricle functional geometry in cardiac pathology

Pre-ectopic vagal tone affects heart rate turbulence slope in heart failure

Studying heart rate variability from ballistocardiography acquired by force platform: Comparison with conventional ECG

Assessment of QT-RR intervals relation in patients with atrial fibrillation

Analysis of transient heart rate response to the active orthostatic maneuver

Can functional cardiac age be predicted from the ECG in a normal healthy population?

Similar Documents

Can functional cardiac age be predicted from the ECG in a normal healthy population?

Can functional cardiac age be predicted from ecg in a normal healthy population

Termination of atrial fibrillation by catheter ablation can be successfully predicted from baseline ECG

Neurohormonal and functional correlates of linear and poincarè plot indexes of heart rate variability in heart failure patients

Left ventricle functional geometry in cardiac pathology

Pre-ectopic vagal tone affects heart rate turbulence slope in heart failure

Studying heart rate variability from ballistocardiography acquired by force platform: Comparison with conventional ECG

Assessment of QT-RR intervals relation in patients with atrial fibrillation

Analysis of transient heart rate response to the active orthostatic maneuver

Can functional cardiac age be predicted from the ECG in a normal healthy population?