Rough Set Theory And Applied Research In The Ecg Automatic Analysis

In this paper, Based on Rough sets, the algorithm of decision form reduction algorithm of Rough sets is studied, and is applied to the recognition of characteristic points in electrocardiogram. Finally the reduction rules are obtained. Moreover the confirmation way for characteristic elements is also proposed, and is applied to the recognition of electrocardiogram. Then the decision form reduction algorithm and confirmation of character element is combined, and applied to the recognition of characteristic points in electrocardiogram, and the two algorithms are validated and discussed. Finally the theory of difference is researched and a confirmation method of k in k-difference is given, and the algorithms of computer-aided Electrocardiogram about the recognition of QRS wave ~. P wave~. T wave are obtained. The algorithm for R wave is tested with 8-hour patient data of MIT-BIH. QRS, and average sensitivity of 95.65 percent is achieved. Then, the decision form algorithm for R wave is also tested, and average sensitivity of 96.39 percent is achieved. All algorithms are programmed under the development environment of MATLAB, which is a kind of mathematical software. For the convenience of research and development for electrocardiogram, some program toolbox for electrocardiogram are set up. This paper set up the basis for the diagnosis of electrocardiogram.