Novel method of digitization of electrocardiogram signals

dc.contributor.advisor Bhatti, Pamela T.
dc.contributor.author Ganesh, Shambavi
dc.contributor.committeeMember Davenport, Mark A.
dc.contributor.committeeMember Tridandapani, Srini
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2020-05-20T17:04:15Z
dc.date.available 2020-05-20T17:04:15Z
dc.date.created 2020-05
dc.date.issued 2020-04-28
dc.date.submitted May 2020
dc.date.updated 2020-05-20T17:04:15Z
dc.description.abstract The objective of the proposed research is to implement a novel digitization tool which extracts electrocardiogram (ECG) signals, as well as patient demographic information from paper electrocardiography records. A MATLAB (MathWorks: Natick, MA) based graphical user interface (GUI) application is proposed wherein the electrocardiogram (ECG) signals are digitized based on an algorithm built upon previous work by Ravichandran et al. [7]. The existing algorithm carried out Optical Character Recognition (OCR) for the extraction of the demographic information from the record. In addition to this existing function, the proposed research aims to implement OCR on the ECG character lead names in order to further enhance the accuracy of the digitized ECG signals. The proposed algorithm is subjected to a reader study conducted at Emory University. In order to measure the correlation between the digitized ECG signals and the paper ECG records, the reader study aimed to measure the following parameters: QT (the time measured from the QRS complex to the end of T-wave), QRS (the duration measured along the length of the QRS complex), PR (the time measured from the beginning of the P-wave to that of the QRS complex), QTc (the increase in duration of action potential of signal) and RR (the time measured between 2 consecutive R-R peaks). From the intra-observer and inter-observer correlation values between the digitized and paper ECG records ranged between 0.2557 to 0.9371. Although the RR intervals is found to be statistically significant, the QT and QTc intervals are not. The kappa statistic ranged between -0.4886 to 0.8742, for the intra-observer measurements. For the inter-observer measurements, the kappa statistic ranged between 0.1722 and 0.8216.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/62860
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Electrocardiogram signals
dc.subject ECG
dc.subject Image processing
dc.subject Digital signal processing
dc.subject DSP
dc.subject OCR
dc.subject Optical character recognition
dc.subject MATLAB
dc.subject Medical image processing
dc.subject GUI
dc.subject Graphical user interface
dc.title Novel method of digitization of electrocardiogram signals
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Bhatti, Pamela T.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Masters
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