Identification and Delineation of Qrs Complexes in Electrocardiogram Using Fuzzy C-means Algorithm
نویسندگان
چکیده
Over the past few years, there has been an increased trend toward processing of the electrocardiogram (ECG) using microcomputer. The system based on microcomputer can perform the needed medical services in extremely efficient manner. In fact, many systems have already been implemented to perform signal processing task such as 12-lead ECG analysis. All these applications require an accurate detection of QRS complex of ECG. Thus QRS complex detection is an important part of many ECG signal processing system. This paper presents application of Fuzzy C-Means algorithm (FCM) for detection of QRS complex in ECG signal. The performance of the algorithm is validated using original 12-lead ECG recording from the standard ECG data base. Significant detection rate is achieved. The onset and offset of the QRS complexes are found to be within tolerance limit given by CSE library.
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