Computing the Size and Location of Myocardial Ischemia Using Measurements of ST-Segment Shift [Електронний ресурс] / Mary C. MacLachlan, Bjorn Fredrik Nielsen, Marius Lysaker, Aslak Tveito // IEEE Transactions on Biomedical Engineering [Електронний ресурс]. – 2006. – № 6. – Pp. 1024 – 1031
- Електронна версія (pdf / 696 Kb)
Статистика використання: Завантажень: 2
Складова документа:
IEEE Transactions on Biomedical Engineering [Електронний ресурс] : вестник ин-та радиоинженеров. № 6. 53 / IEEE Engineering in medicine and Biology Group // IEEE Transactions on Biomedical Engineering. – USA, 2006
Анотація:
It is well known that the presence of myocardial ischemia can be observed as a shift in the ST segment of an electrocardiogram (ECG) recording. The question we address in this
paper is whether or not ST shift can be used to compute approximations of the size and location of the ischemic region. We begin by investigating a cost functional (measuring the difference between synthetic recorded data and simulated values of ST shift) for a parameter identification problem to locate the ischemic region. We then formulate a more flexible representation of the ischemia using a level set framework and solve the associated minimization problem for the size and position of the ischemia. We apply this
framework to a set of ECG data generated by the Bidomain model using the cell model ofWinslow et al.. Based on this data, we show that values of ST shift recorded at the body surface are capable of identifying the position and (roughly) the size of the ischemia.
paper is whether or not ST shift can be used to compute approximations of the size and location of the ischemic region. We begin by investigating a cost functional (measuring the difference between synthetic recorded data and simulated values of ST shift) for a parameter identification problem to locate the ischemic region. We then formulate a more flexible representation of the ischemia using a level set framework and solve the associated minimization problem for the size and position of the ischemia. We apply this
framework to a set of ECG data generated by the Bidomain model using the cell model ofWinslow et al.. Based on this data, we show that values of ST shift recorded at the body surface are capable of identifying the position and (roughly) the size of the ischemia.