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...

Полное описание

Библиографические подробности
Опубликовано в::	IEEE Engineering in medicine and biology magazine 21, 1 (2002).
Главный автор:	Tatara, E.
Формат:	Статья
Язык:	English
Предметы:	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.