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Automated ECG Analysis for Characteristics of Ischemia from Limb Lead MLIII Using the Discrete Hermite Transform

Thozhal, Rijo
http://rave.ohiolink.edu/etdc/view?acc_num=akron1434608401

Abstract Details

2015, Master of Science in Engineering, University of Akron, Biomedical Engineering.
An important driving force in the human circulatory system is the heart. The electrical activity of the heart can be recorded as P, Q, R, S and T waves that constitute an electrocardiogram (ECG) signal. The main method used in this thesis involves the discrete Hermite Transform (DHmT) that provides shape analysis for ECG signals. Earlier work proved that the DHmT method of characterizing ischemia from ECGs was fast and accurate for the ECG signals from precordial lead V4. Myocardial ischemia is a lack of oxygen flow to heart tissue exhibited in ECGs through different shapes. This thesis extends that analysis to limb lead MLIII to characterize ischemia. When used with other leads, analysis of MLIII confirms ischemic characteristics for particular arteries. This work is important because cardiologists tend to characterize such events using different standard ECG leads. The ECG signal shapes can be characterized by a new digital signal transform that is shape-based: the discrete Hermite transform (DHmT), method discovered by Mugler et al. (2000). An online archived database (http://physionet.org) is used for obtaining ECG waveforms from the European ST-T databank. These signals are computationally analyzed using MATLAB programming. The DHmT and related methods are applied to quickly and accurately identify characteristics of ischemia in ST segments. Heartbeats that show artifacts or abnormalities are not included in the analysis. The speed of the computation is such that a 2-hour ECG recording can be processed in 2.19 minutes on a standard PC. It tailors the analysis to the individual patient. The analysis concentrates on MLIII to determine the ischemic characteristic shapes of ST depression and elevation. The results show that high sensitivity, specificity, and positive predictive value are given by this method when applied to ischemic episodes. It is believed that this research into MLIII is the first of its kind.
Dale Mugler, Dr. (Advisor)
Narender Reddy, Dr. (Committee Member)
Yang Liu, Dr. (Committee Member)
210 p.
Biomedical Engineering; Biomedical Research
Electrocardiogram; ECG; ECG analysis; discrete Hermite transform; DHmT; ischemia; pre-diagnostic tool; modified limb lead III; MLIII; MATLAB; signal processing; beat analysis; HRV; episode analysis; PhysioNet

Recommended Citations

Citations

  • Thozhal, R. (2015). Automated ECG Analysis for Characteristics of Ischemia from Limb Lead MLIII Using the Discrete Hermite Transform [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1434608401

    APA Style (7th edition)

  • Thozhal, Rijo. Automated ECG Analysis for Characteristics of Ischemia from Limb Lead MLIII Using the Discrete Hermite Transform. 2015. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1434608401.

    MLA Style (8th edition)

  • Thozhal, Rijo. "Automated ECG Analysis for Characteristics of Ischemia from Limb Lead MLIII Using the Discrete Hermite Transform." Master's thesis, University of Akron, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1434608401

    Chicago Manual of Style (17th edition)

akron1434608401
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This open access ETD is published by University of Akron and OhioLINK.