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04 March 2018 : Animal Research  

Detection of Acute Myocardial Infarction in a Pig Model Using the SAN-Atrial-AVN-His (SAAH) Electrocardiogram (ECG), Model PHS-A10, an Automated and Integrated Signals Recognition System

Wenjiao Zhao1BC, Guihua Lu2ABCE, Li Liu1BCD, Zhishan Sun1F, Mingxin Wu1A, Wenyan Yi1B, Haiyan Chen1B, Yanhui Li3B, Lilong Tang1AEG*, Jianping Zeng1ADF

DOI: 10.12659/MSM.905961

Med Sci Monit 2018; 24: ANS1303-1309

Abstract

BACKGROUND: The aim of this study was to compare the use of the standard 12-lead electrocardiogram (ECG) with the SAN-Atrial-AVN-His (SAAH) ECG (Model PHS-A10), a new automated and integrated signals recognition system that detects micro-waveforms within the P, QRS, and T-wave, in a pig model of acute myocardial infarction (MI).

MATERIAL AND METHODS: Six medium-sized domestic Chinese pigs underwent general anesthesia, and an angioplasty balloon was placed and dilated for 120 minutes in the first diagonal coronary artery arising from the left anterior descending (LAD) coronary artery. A standard ECG and a SAAH ECG (Model PHS-A10) were used to evaluate: 1) the number of wavelets in ST-T segment in lead V5; 2) the duration of the repolarization initial (Ri), or duration of the wavelets starting from the J-point to the endpoint of the wavelets in the ST interval; 3) the duration of the repolarization terminal (Rt), of the wavelets, starting from the endpoint of the wavelets in the ST interval to the cross-point of the T-wave and baseline; 4) the ratio Ri: Rt.

RESULTS: Following coronary artery occlusion, duration of Ri and Ri/Rt increased, and Rt decreased, which was detected by the SAAH ECG (Model PHS-A10) within 12 seconds, compared with standard ECG that detected ST segment depression at 24 seconds following coronary artery occlusion.

CONCLUSIONS: The findings from this preliminary study in a pig model of acute MI support the need for clinical studies to evaluate the SAAH ECG (Model PHS-A10) for the early detection of acute MI.

Keywords: acute coronary syndrome, Anterior Wall Myocardial Infarction, Electrocardiography

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750