The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study proposes a simple and reliable method termed the fuzzy c-means method for classifying the heartbeat cases from electrocardiogram (ECG) signals. The proposed method has the advantages of good detection results, no complex mathematic computations, low memory space and low time complexity. The FCMM can accurately classify and distinguish the difference between normal heartbeats and abnormal...
In this study, “Fuzzy C-Means Method (FCMM)” is applied for classifying the cardiac arrhythmia on ECG signals, the FCMM consists of three main stages: (i) QRS extraction stage for detecting QRS waveform using the Difference Operation Method; (ii) qualitative features stage for qualitative feature selection using the Range-Overlaps Method on ECG signals; (iii) Fuzzy C-Means algorithm is used to determine...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.