2011
DOI: 10.1016/j.ejcts.2010.03.067
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Automated detection of myocardial ischaemia by epicardial miniature ultrasound transducers — a novel tool for patient monitoring during cardiac surgery☆

Abstract: The ultrasonic system detected regional ischaemia during LAD occlusion. An automated analysis algorithm demonstrated excellent ability to detect ischaemia. This technology can develop into a useful tool to detect ischaemia in cardiac surgery.

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Cited by 12 publications
(17 citation statements)
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“…For ischemia detection by the ultrasound transducer a combination of peak systolic and postsystolic velocities may enhance the accuracy of the method in distinguishing such situations from reduced systolic contraction due to ischemia. It has been demonstrated that coronary stenosis or occlusion reduces systolic and increases postsystolic velocities [35]. These findings are extended in this thesis.…”
Section: Microsensors For Myocardial Ischemia Detection the Miniaturisupporting
confidence: 67%
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“…For ischemia detection by the ultrasound transducer a combination of peak systolic and postsystolic velocities may enhance the accuracy of the method in distinguishing such situations from reduced systolic contraction due to ischemia. It has been demonstrated that coronary stenosis or occlusion reduces systolic and increases postsystolic velocities [35]. These findings are extended in this thesis.…”
Section: Microsensors For Myocardial Ischemia Detection the Miniaturisupporting
confidence: 67%
“…The method enables continuous monitoring of heart wall contractions by use of an M-mode image and real-time calculation of myocardial velocities. This transducer has shown to be superior in detecting myocardial ischemia compared to ECG and invasive hemodynamic monitoring during off-pump coronary artery bypass surgery [35].…”
Section: Ultrasound Transducersmentioning
confidence: 99%
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“…In a study on patients undergoing off‐pump coronary bypass surgery, the epicardial sensors could detect ischaemia similar to the reference method 2D echocardiography . Importantly, the signal could also be analysed automatically and detect ischaemia equally good as manual offline analysis.…”
mentioning
confidence: 99%