Title :
Reconstructing ECG precordial leads from a reduced lead set using independent component analysis
Author :
Ostertag, Michael H. ; Tsouri, Gill R.
Author_Institution :
Rochester Inst. of Technol., Rochester, NY, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In this paper, precordial lead reconstruction from a reduced set of leads is considered. We propose the use of independent component analysis to train patient-specific transforms from a reduced lead set to the six precordial leads of the standard 12-lead electrocardiogram. The proposed approach is applied to a publicly available database comprising 549 ECG recordings of patients with varying cardiovascular conditions. The fidelity of reconstruction is measured using percent correlation between the actual and reconstructed signals following a 30 seconds time lapse. The mean correlation is over 95% with a standard deviation under 12.7% for all reconstructed leads. The results demonstrate the potential of the suggested approach to provide a reliable solution to precordial leads reconstruction.
Keywords :
biomedical electrodes; cardiovascular system; electrocardiography; independent component analysis; medical disorders; medical signal processing; signal reconstruction; ECG; cardiovascular condition; independent component analysis; patient specific transform; precordial lead reconstruction; reduced lead set; signal reconstruction; twelve-lead electrocardiogram; Correlation; Databases; Electrocardiography; Independent component analysis; Lead; Training; Transforms; Cardiovascular Diseases; Electrocardiography; Humans;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091095