ACADSTAFF UGM
| Judul/Title | R-Peaks Detection Method for Classifying Various Cardiac Disease |
| Penulis/Author | Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1); Ir. Noor Akhmad Setiawan, S.T., M.T., Ph.D., IPM. (2) |
| Tanggal/Date | 2016 |
| Kata Kunci/Keyword | |
| Abstrak/Abstract | Introduction. Electrocardiography (ECG) is a non-invasive technique that is used to diagnose heart abnormalities. Many cardiac diseases can be classified based on RR interval using QRS complex waveform. R-Peaks detection will be an important factor to detect various cardiac diseases. Aim. Method improvement to detecting R-Peak location for classifying any cardiac diseases. Method. We propose a development method for R-peak detection using modified Pan-Tompkins Algorithm. Based on that method we change the threshold value by normalization technique and moving windows approach to get the location of R-peaks. Result. By using MIT-BIH dataset, our proposed method can show the R-Peaks detection with 99.84% accuracy and 0.16% total error rate detection. Conclusion. Our proposed method has a potential to be used is classifying various cardiac abnormalities based on the value of R-Peaks detection. |
| Rumpun Ilmu | Teknologi Informasi |
| Level | Internasional |
| Status |
| No | Judul | Tipe Dokumen | Aksi |
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