Analisis Non-Stasioner pada Deteksi Non-Invasive Sinyal Suara Jantung Koroner
| Main Author: | Puspasari, Ira |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Jurusan Teknik Elektro dan Teknologi Informasi FT-UGM
, 2015
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| Subjects: | |
| Online Access: |
http://sir.stikom.edu/id/eprint/1325/1/Ira_Puspasari_Analisis_Non-Stasioner_pada_Deteksi_Non-Invasive_Sinyal_Jantung_Koroner.pdf http://sir.stikom.edu/id/eprint/1325/ http://jnteti.te.ugm.ac.id/ |
Daftar Isi:
- Feature extraction part has become a very important thing which can be use to develop a system of electronic heart sound diagnosis. Therefore, it is necessary to hold a research about an effective feature extraction method to know the dynamics of the data contained in heart sound. This researched has learned more about feature extraction method, using non-stationary signal processing, Short Time Fourier Transform. The result of the signal of CHD (coronary heart disease) showed that the first signal has an average frequency at 505.56±8.82 Hz, and this signal is detected on an average window at 21.44±2.92, an average time at 0.05±0.02 s. The results of the second signal feature extraction, was detected an average frequency at 376.11±2.20 Hz, with an average window at 141.67±2.5, and an average time at 0.35±0.02 s. The results of feature extraction on the third signal, showed an average frequency at 217.14±12.78 Hz, an average window at 74.29±4.16, and an average time at 0.17±0.02 s. The results of this study indicate that the entire frequency has an average value of more than 200 Hz.