A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG)
Timely evaluation and reperfusion have improved the myocardial salvage and the subsequent recovery rate of the patients hospitalized with acute myocardial infarction (MI). Long waiting time and time-consuming procedures of in-hospital diagnostic testing severely affect the timeliness. We present a P...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/14/3975 |
| _version_ | 1827713001484976128 |
|---|---|
| author | Trung Q. Le Vibhuthi Chandra Kahkashan Afrin Sanjay Srivatsa Satish Bukkapatnam |
| author_facet | Trung Q. Le Vibhuthi Chandra Kahkashan Afrin Sanjay Srivatsa Satish Bukkapatnam |
| author_sort | Trung Q. Le |
| collection | DOAJ |
| description | Timely evaluation and reperfusion have improved the myocardial salvage and the subsequent recovery rate of the patients hospitalized with acute myocardial infarction (MI). Long waiting time and time-consuming procedures of in-hospital diagnostic testing severely affect the timeliness. We present a Poincare pattern ensemble-based method with the consideration of multi-correlated non-stationary stochastic system dynamics to localize the infarct-related artery (IRA) in acute MI by fully harnessing information from paper-based Electrocardiogram (ECG). The vectorcardiogram (VCG) diagnostic features extracted from only 2.5-s long paper ECG recordings were used to hierarchically localize the IRA—not mere localization of the infarcted cardiac tissues—in acute MI. Paper ECG records and angiograms of 106 acute MI patients collected at the Heart Artery and Vein Center at Fresno California and the 12-lead ECG signals from the Physionet PTB online database were employed to validate the proposed approach. We reported the overall accuracies of 97.41% for healthy control (HC) vs. MI, 89.41 ± 9.89 for left and right culprit arteries vs. others, 88.2 ± 11.6 for left main arteries vs. right-coronary-ascending (RCA) and 93.67 ± 4.89 for left-anterior-descending (LAD) vs. left-circumflex (LCX). The IRA localization from paper ECG can be used to timely triage the patients with acute coronary syndromes to the percutaneous coronary intervention facilities. |
| first_indexed | 2024-03-10T18:25:02Z |
| format | Article |
| id | doaj.art-c2c6e567a7f24734bbd71b7a7943c062 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:25:02Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c2c6e567a7f24734bbd71b7a7943c0622023-11-20T07:05:00ZengMDPI AGSensors1424-82202020-07-012014397510.3390/s20143975A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG)Trung Q. Le0Vibhuthi Chandra1Kahkashan Afrin2Sanjay Srivatsa3Satish Bukkapatnam4Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND 58102, USAIndustrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USAIndustrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USAHeart Artery and Vein Center of Fresno, Fresno, CA 93722, USAIndustrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USATimely evaluation and reperfusion have improved the myocardial salvage and the subsequent recovery rate of the patients hospitalized with acute myocardial infarction (MI). Long waiting time and time-consuming procedures of in-hospital diagnostic testing severely affect the timeliness. We present a Poincare pattern ensemble-based method with the consideration of multi-correlated non-stationary stochastic system dynamics to localize the infarct-related artery (IRA) in acute MI by fully harnessing information from paper-based Electrocardiogram (ECG). The vectorcardiogram (VCG) diagnostic features extracted from only 2.5-s long paper ECG recordings were used to hierarchically localize the IRA—not mere localization of the infarcted cardiac tissues—in acute MI. Paper ECG records and angiograms of 106 acute MI patients collected at the Heart Artery and Vein Center at Fresno California and the 12-lead ECG signals from the Physionet PTB online database were employed to validate the proposed approach. We reported the overall accuracies of 97.41% for healthy control (HC) vs. MI, 89.41 ± 9.89 for left and right culprit arteries vs. others, 88.2 ± 11.6 for left main arteries vs. right-coronary-ascending (RCA) and 93.67 ± 4.89 for left-anterior-descending (LAD) vs. left-circumflex (LCX). The IRA localization from paper ECG can be used to timely triage the patients with acute coronary syndromes to the percutaneous coronary intervention facilities.https://www.mdpi.com/1424-8220/20/14/3975electrocardiogramnonlinear dynamic systemscomputer-aided diagnosis |
| spellingShingle | Trung Q. Le Vibhuthi Chandra Kahkashan Afrin Sanjay Srivatsa Satish Bukkapatnam A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) Sensors electrocardiogram nonlinear dynamic systems computer-aided diagnosis |
| title | A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) |
| title_full | A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) |
| title_fullStr | A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) |
| title_full_unstemmed | A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) |
| title_short | A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG) |
| title_sort | dynamic systems approach for detecting and localizing of infarct related artery in acute myocardial infarction using compressed paper based electrocardiogram ecg |
| topic | electrocardiogram nonlinear dynamic systems computer-aided diagnosis |
| url | https://www.mdpi.com/1424-8220/20/14/3975 |
| work_keys_str_mv | AT trungqle adynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT vibhuthichandra adynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT kahkashanafrin adynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT sanjaysrivatsa adynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT satishbukkapatnam adynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT trungqle dynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT vibhuthichandra dynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT kahkashanafrin dynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT sanjaysrivatsa dynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg AT satishbukkapatnam dynamicsystemsapproachfordetectingandlocalizingofinfarctrelatedarteryinacutemyocardialinfarctionusingcompressedpaperbasedelectrocardiogramecg |