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Медико-биологические дисциплины

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Медико-биологические дисциплины
Наименование:

Computational Neural Models for Body Surface ECG Data Analysis. Body Surface Cardiac Mapping

Формат:      Страниц 204
     мягкая обложка
Автор:
Jesus L.    
Издательство:
Книга по Требованию    
Год:2009
Цена:
3191 руб
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Firstly, to develop a classification framework for an accurate and early diagnosis of acute MI. This decision support system encompasses computational neural models with the input space based on BSCM. Nevertheless, due to sparse spatial sampling, it is limited in identifying cardiac abnormalities. Alternatively, in Body Surface Cardiac Mapping (BSCM) a higher number of ECGs are recorded. By building an additional layer of knowledge between the cardiologist and clinical practice, this work not only enhances final MI classification performance but, allow the discovery of new electrocardiographic MI markers. This work has two main objectives. Hence, BSCM provides a more comprehensive picture of electrocardiographic information than is possible with the 12-lead ECG. The 12-Lead Electrocardiogram (ECG) is a standard procedure in diagnosing CHDs such as Myocardial Infarction (MI). Secondly, since MI is localised on the torso surface, and due to the high number of electrocardiographic leads involved in BSCM, it is desirable to find an optimal reduced lead set for acute MI detection. Cardiovascular heart disease (CHD) is a chief public health priority worldwide.
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