Olga Melnik
ABSTRACT
The article investigates the method and algorithm for signs detection of ischemic disorders of the cardiovascular system in the course of everyday human activities on the basis of electrocardiosignal continuous recording. Methods for ST-segment of electrocardiosignal detection in each cardiac cycle and the formation of integral informative form features derived from the spectral components in the basis of Walsh functions calculation are purposed. An algorithm for ST-segment distortion classifying to non-specific and ischemia-caused is developed. Given algorithm, in contrast to known analogs, allows to perform a detailed classification of various types of ischemic and non-specific ST-segment changes and can be implemented using portable devices and software applications producing assessment of the human body in real time.
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Index Terms
- Detection of Signs of Cardiovascular System Ischemic Episodes in the Conditions of Person's Daily Activities
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