MYOCARDIAL INFARCTION DETECTION USING INTELLIGENT ALGORITHMS
نویسندگان
چکیده
منابع مشابه
Hemorrhagic myocardial infarction: detection using susceptibility weighted phase imaging
In this study we determined the normal range of highpass filtered image phase values in a group of normal subjects for all sixteen segments of the heart. The range and standard deviations varied significantly across the heart, with less variance in septal segments. In a group of acute myocardial infarction patients, phase values in hemorrhagic myocardial infarction were significantly less than ...
متن کاملAn Aptamer-based Biosensor for Troponin I Detection in Diagnosis of Myocardial Infarction
Background: Acute myocardial infarction (MI) accounts for one third of deaths. Cardiac troponin I (TnI) is a reliable biomarker of cardiac muscle tissue injury and is employed in the early diagnosis of MI.Objectives: In this study, a molecular method is introduced to early diagnosis of MI by rapid detection of TnI.Materials and Methods: The detection method was based on electrochemical aptasens...
متن کاملAnti-streptokinase Antibody Detection before and Immediately after Streptokinase Therapy in Patients with Myocardial Infarction
Background: Myocardial infarction (MI) is one of the most common and serious diseases resulting from coronary artery occlusion and major reduction in blood flow. Streptokinase as a thrombolytic is considered the first and most important therapeutic intervention for reperfusion following MI in most countries including Iran. Our previous study showed that, the prevalence of high antibody titers a...
متن کاملIranian Elderly Experiences With Myocardial Infarction
Objectives: Awareness of elderly patients' experiences of myocardial infarction can assist to identify their need, problems, as well as promote their quality of lives. However, there is a little information about how elderly people experience myocardial infarction. This study aimed to explore elderly patients experience with myocardial infarction and their coping strategies. Methods & Materi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neural Network World
سال: 2016
ISSN: 1210-0552,2336-4335
DOI: 10.14311/nnw.2016.26.005