Interpreting ECG data by integrating statistical and artificial intelligence tools.

The use of an automated system integrating data conditioning, statistical methods, and artificial intelligence tools to summarize and interpret high-frequency physiological data such as the electrocardiogram is investigated. The development of a methodology and its associated tools for real-time pat...

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Detalles Bibliográficos
Publicado en:	IEEE Engineering in medicine and biology magazine 21, 1 (2002).
Autor principal:	Tatara, E.
Formato:	Artículo
Lenguaje:	English
Materias:	ECG data interpretation. G2 real-time knowledge-based system. MATLAB. Abnormal situations. Artificial intelligence tools. Automated system. Data conditioning. Development shell. Graphical user interface. High-frequency physiological data. Real-time patient monitoring. Robust intelligent patient monitoring. Rule-based decision system. Statistical methods. Threshold limits.