Machine Learning in Electrocardiogram Diagnosis

The work is devoted to the relevant item is automatic detection of the disease on an electrocardiogram (ECG) using machine learning techniques. Currently, the problem of automatic recognition of pathologies of the cardiovascular system bodies can be regarded as solved in the sense that the car is not taught to diagnose worse doctor. However, the objective of determining the disease of other organs by the ECG has a great interest and the social significance. There are studies in this direction, which based on variety of methods, including machine learning methods. One of the interesting approaches is the method codified V.M. Uspensky. The core of it is that the characteristics of the ECG key word teeth built in 6-letter alphabet. Using machine learning methods in this way are diagnosed. V.M. Uspensky and his associates report good results.