Accuracy Assessment of Sensed Biomedical Images for Myocardial Infarction Prediction
| Autor: | Tomasz P. Zieliński, A. Trotta, I. Sgura, Giuseppe Vendramin, Pawel Turcza, Aime Lay-Ekuakille |
|---|---|
| Přispěvatelé: | S.C. MUKHOPADHYAY, R. Y. M. HUANG, G. SEN GUPTA, LAY EKUAKILLE, Aime, Vendramin, G, Trotta, A, Sgura, Ivonne, Zielinski, T, Turcza, P., G. SEN GUPTA., Vendramin, Giuseppe, Trotta, Amerigo |
| Rok vydání: | 2008 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test Chest discomfort business.industry Biomedical instrumentation medicine.disease World health Imaging Clinical trial Physical medicine and rehabilitation Echocardiography Sensors signal processing. myocardial infarction medicine Biomedical sensors Myocardial infarction business Electrocardiography Accuracy Biomedical engineering |
| Zdroj: | 2008 3rd International Conference on Sensing Technology. |
| Popis: | Myocardial infarction (MI) can be defined from a number of different perspectives related to clinical, electrocardiographic (ECG), biochemical and pathologic characteristics. The term MI also has social and psychological implications, both as an indicator of a major health problem and as a measure of disease prevalence in population statistics and outcomes of clinical trials. In the distant past, a general consensus existed for the clinical entity designated as MI. In studies of disease prevalence by the World Health Organization (WHO), MI was defined by a combination of two of three characteristics: typical symptoms (i.e., chest discomfort), enzyme rise and a typical ECG pattern involving the development of Q waves. Biomedical sensors dedicated to acquire signals from cardiac instrumentation, even if sophisticated, cannot precisely reveal and help doctors to understand, at a glance, pathologies leading towards MI. This paper traces out an integrated algorithm based on a combination of level set evolution and variation approach according to Mumford-Shah model. |
| Databáze: | OpenAIRE |
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