A Lung Sound Classification System Based on Data Augmenting Using ELM-Wavelet-AE

Berna ARI; Ömer Faruk ALÇİN; Abdülkadir ŞENGÜR

doi:https://doi.org/10.55525/tjst.1063039

Makale detayları

A Lung Sound Classification System Based on Data Augmenting Using ELM-Wavelet-AE

Yazarlar:

Berna ARI | Ömer Faruk ALÇİN | Abdülkadir ŞENGÜR

Yayıncı:

Fırat University

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

Turkish Journal of Science and Technology 2022 Vol.17 Issue 1, pp.79-88

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000639100

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080

DOI:

https://doi.org/10.55525/tjst.1063039

Özet:

 

The method is of great importance in systems that include machine learning and classification steps. As a result, academics are constantly working to improve the process. However, the data pertaining to the methodology's performance is equally as valuable as the methodology's creation. While the data is utilized to show the result of the modeling process, it is critical to consider the proper labeling of the data, the technique of acquisition, and the volume. Obtaining data in certain sectors, particularly medical fields, can be costly and time consuming. Thus, data augmenting via classical and synthetic methods has recently gained popularity. Our study uses synthetic data augmentation since it is newer, more efficient, and produces the desired effect. Our study's goal is to classify a data collection of lung sounds into four groups using data augmenting. Obtaining and standardizing the wavelet scatter transformation of each cycle of lung sounds, splitting the transformed data into test and training, augmenting and classifying the training data. In the augmenting stage, we utilized ELM-AE, then ELM-W-AE, with six wavelet functions (Gaussian, Morlet, Mexican, Shannon, Meyer, Ggw) added. The SVM and EBT classifiers improved performance by 4% and 3% in ELM-W-AE compared to the original structure.

Makale detayları

A Lung Sound Classification System Based on Data Augmenting Using ELM-Wavelet-AE

Yazarlar: Berna ARI | Ömer Faruk ALÇİN | Abdülkadir ŞENGÜR

Yayıncı: Fırat University

Ana Başlıklar: Mühendislik ve uygulamalı operasyonlar

Dergi: Turkish Journal of Science and Technology 2022 Vol.17 Issue 1, pp.79-88

Belge Tipi: Makale

Yayın Tarihi: 3/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000639100

Sıklık: Aylık

eISSN: 1308-9099

pISSN: 1308-9080

DOI: https://doi.org/10.55525/tjst.1063039

Sayı

Yazarlar:

Berna ARI | Ömer Faruk ALÇİN | Abdülkadir ŞENGÜR

Yayıncı:

Fırat University

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar

Dergi:

Turkish Journal of Science and Technology 2022 Vol.17 Issue 1, pp.79-88

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000639100

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080

DOI:

https://doi.org/10.55525/tjst.1063039