Multi-scale Grey-Level Difference for Lung Sound Classification

Multi-scale Grey-Level Difference for Lung Sound Classification

Lung sounds have information to seek abnormalities in the lung. With digital signal processing, the information in the lung sounds is extracted as the features in lung sound classification. In this paper, texture analysis was used to measure the complexity of lung sound as a feature in lung sound cl...

Full description

Bibliographic Details
Main Authors: Achmad Riza, Risanuri Hidayat, Hanung Adi Nugroho
Format: Article
Language:English
Published: ESRGroups 2016-06-01
Series:Journal of Electrical Systems
Subjects:
Grey-level difference
texture analysis
multi-scale
classification
lung sound
Online Access:http://journal.esrgroups.org/jes/papers/12_3_9.pdf
id doaj-f39b7576b08c47328b6436d00a5f49dd
record_format Article
spelling doaj-f39b7576b08c47328b6436d00a5f49dd2020-11-25T02:29:29ZengESRGroupsJournal of Electrical Systems1112-52091112-52092016-06-01123556564Multi-scale Grey-Level Difference for Lung Sound ClassificationAchmad Riza0Risanuri Hidayat1Hanung Adi Nugroho2Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, 55281 Yogyakarta, IndonesiaDepartment of Electrical Engineering and Information Technology, Universitas Gadjah Mada, 55281 Yogyakarta, IndonesiaDepartment of Electrical Engineering and Information Technology, Universitas Gadjah Mada, 55281 Yogyakarta, IndonesiaLung sounds have information to seek abnormalities in the lung. With digital signal processing, the information in the lung sounds is extracted as the features in lung sound classification. In this paper, texture analysis was used to measure the complexity of lung sound as a feature in lung sound classification. Grey-Level Difference (GLD) method was performed on lung sounds with a number of different scales. Multi-scale GLD has produced accuracy up to 90.12% for five classes of data. Further, gradient entropy individually provided the highest accuracy up to 91.36% for the distance D = 20 and a scale of 1-10.http://journal.esrgroups.org/jes/papers/12_3_9.pdfGrey-level differencetexture analysismulti-scaleclassificationlung sound
collection DOAJ
language English
format Article
sources DOAJ
author Achmad Riza
Risanuri Hidayat
Hanung Adi Nugroho
spellingShingle Achmad Riza
Risanuri Hidayat
Hanung Adi Nugroho
Multi-scale Grey-Level Difference for Lung Sound Classification
Journal of Electrical Systems
Grey-level difference
texture analysis
multi-scale
classification
lung sound
author_facet Achmad Riza
Risanuri Hidayat
Hanung Adi Nugroho
author_sort Achmad Riza
title Multi-scale Grey-Level Difference for Lung Sound Classification
title_short Multi-scale Grey-Level Difference for Lung Sound Classification
title_full Multi-scale Grey-Level Difference for Lung Sound Classification
title_fullStr Multi-scale Grey-Level Difference for Lung Sound Classification
title_full_unstemmed Multi-scale Grey-Level Difference for Lung Sound Classification
title_sort multi-scale grey-level difference for lung sound classification
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
1112-5209
publishDate 2016-06-01
description Lung sounds have information to seek abnormalities in the lung. With digital signal processing, the information in the lung sounds is extracted as the features in lung sound classification. In this paper, texture analysis was used to measure the complexity of lung sound as a feature in lung sound classification. Grey-Level Difference (GLD) method was performed on lung sounds with a number of different scales. Multi-scale GLD has produced accuracy up to 90.12% for five classes of data. Further, gradient entropy individually provided the highest accuracy up to 91.36% for the distance D = 20 and a scale of 1-10.
topic Grey-level difference
texture analysis
multi-scale
classification
lung sound
url http://journal.esrgroups.org/jes/papers/12_3_9.pdf
work_keys_str_mv AT achmadriza multiscalegreyleveldifferenceforlungsoundclassification
AT risanurihidayat multiscalegreyleveldifferenceforlungsoundclassification
AT hanungadinugroho multiscalegreyleveldifferenceforlungsoundclassification
_version_ 1724832705056604160

Similar Items