Analisis Non-Stasioner pada Deteksi Non-Invasive Sinyal Suara Jantung Koroner

Puspasari, Ira (2015) Analisis Non-Stasioner pada Deteksi Non-Invasive Sinyal Suara Jantung Koroner. Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) Universitas Gadjah Mada, 4 (2). pp. 99-103. ISSN 2301-4156

[img] Text
Ira_Puspasari_Analisis_Non-Stasioner_pada_Deteksi_Non-Invasive_Sinyal_Jantung_Koroner.pdf - Published Version

Download (253kB)

Search this title on : |


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.

Export Record

Item Type: Article
Uncontrolled Keywords: ekstraksi ciri, pengolahan sinyal, suara jantung, koroner, Time-frequency analysis
Dewey Decimal Classification: 600 – Technology > 620 Engineering & Applied operations
Divisions: Perpustakaan > Journals
Depositing User: Agung P. W.
Date Deposited: 17 Sep 2015 13:44
Last Modified: 17 Sep 2015 13:44

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item   View Item