سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Diagnosis of Heart Disorders by Heart Sound Segmentation

Publish Year: 1394
Type: Conference paper
Language: English
View: 792

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دانلود نمایند.

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:

Document National Code:

ELEMECHCONF03_0381

Index date: 30 July 2016

Diagnosis of Heart Disorders by Heart Sound Segmentation abstract

Phonocardiogram, the digital recording of heart sounds is becoming increasingly popular as a primary detection system for diagnosing heart disorders and it is relatively inexpensive. This study was carried out on 100 patients with normal and abnormal heart sounds. The algorithm uses homomorphic filtering to produce intensity envelopes of main heart sounds in time domain and separates that into four parts: the first heart sound, the systolic period, the second heart sound, and the diastolic period. The performance of the algorithm has been evaluated using 14000 cardiac periods from 100 digital honocardiographic recordings, including normal and abnormal heart sounds. In tests, the algorithm was over 95 percent correct in detecting the first and second heart sounds. The presented automatic segmentation algorithm using wavelet decomposition and reconstruction to select suitable frequency band for envelope calculations has been found to be effective to segment phonocardiogram signals into four parts without using an ECG.

Diagnosis of Heart Disorders by Heart Sound Segmentation Keywords:

Diagnosis of Heart Disorders by Heart Sound Segmentation authors

Ali Tavakoli Golpaygani

Department of Biomedical Engineering, Standard Research Institute, Karaj, Iran.

Kamran Hassani

Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Hajar Ahmadieh

Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran

Kourosh Bajelani

Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.