CLASSIFICATION OF DOPPLER BLOOD FLOW SOUND DURING HEMORRHOIDAL ARTERY LIGATION USING MEL FREQUENCY CEPSTRUM COEFFICIENT AND SUPPORT VECTOR MACHINE
Penulis/Author
DANIEL SANTOSO (1); Prof. Ir. Oyas Wahyunggoro, MT., Ph.D. (2); Ir. Prapto Nugroho, S.T., M.Eng., D.Eng., IPM. (3)
Tanggal/Date
2023
Kata Kunci/Keyword
Abstrak/Abstract
In 1995, Morinaga et al. adopted the Doppler blood flow measurement tech-
nique to develop a novel surgical treatment for haemorrhoids, later known as the Doppler
guided hemorrhoidal artery ligation (DG-HAL). During an artery search process, the sur-
geon is required to focus on the ultrasound produced by the Doppler instrument to perceive
subtle changes indicating the presence of a target artery. However, the correct identifi-
cation of haermorrhoidal arteries using ultrasound may sometimes be difficult because of
several factors. The use of automated methods as a decision support system can help the
DG-HAL practitioners in identifying hemorrhoidal arteries in better ways. However, the
Doppler audio signal is not frequently recorded and investigated in the literature despite
advancements in biological sound classification in recent years. Therefore, this paper pro-
poses a Doppler blood flow sound classification method based on Mel frequency cepstrum
coefficient (MFCC) features and support vector machine (SVM) classifier. Several MF-
CC input combinations to SVM, kernel functions, and SVM parameters are investigated
to determine the best accuracy. The experiment results indicate that for cases of binary
classification (arterial sound and non-arterial sound), a classification accuracy of 96.66%
has been reached on a private database consisting of 100 sound samples.
Rumpun Ilmu
Teknik Elektro
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
el-17-05-13.pdf
[PAK] Full Dokumen
2
CLASSIFICATION OF DOPPLER BLOOD FLOW SOUND DURING HEMORRHOIDAL ARTERY LIGATION USING MEL FREQUENCY CEPSTRUM COEFFICIENT AND SUPPORT VECTOR MACHINE.pdf
