In silico simulation of electrodes placement to improve diagnosis of myocardial ischemia
October 2015
Institute of Biomedical Engineering, Karlsruhe, Germany
The ST segment in an electrocardiogram is a flat segment between two waves called S and T. Identification of ST-segment deviation from the normal baseline is an essential method for the diagnosis of myocardial ischemia. Unfortunately, some forms of ischemia cannot be identified this way. In the present study, the researchers aimed at making a computational study of different electrode setups in detecting early ischemia at 10 minutes after onset. To do this, a simulation study was performed for 765 different locations and sizes of ischemia in the left ventricle of three virtual patients. The results add to the knowledge concerning ischemia-induced electrocardiogram changes and the findings may aid in eventually reducing the share of ischemia without ST elevation in acute diagnosis, thus increasing the number of patients benefiting from immediate treatment.
ECG-based detection of early myocardial ischemia in a computational model: impact of additional electrodes, optimal placement, and a new feature for ST deviation
Axel Loewe
Added on: 12-02-2021
[1] https://www.hindawi.com/journals/bmri/2015/530352/[2] https://data.jrc.ec.europa.eu/dataset/20947a04-86ef-473f-8907-c658e4050c24
