ECG Data Compression Using ε-insensitive Quadratic Loss Function

Omer Karal

doi:10.19113/sdufbed.82260

ECG Data Compression Using ε-insensitive Quadratic Loss Function

Öz

ElectroCardioGram (ECG) is a graphical representation of the electrical activity that occurred during the heartbeat. It plays a significant role in the diagnosis and analysis of heart diseases. ECG signals must be recorded continuously for the effective detection and diagnosis of heart diseases. However, such records as it produces large amounts of data at a level that makes it difficult storage and transmission can also be impaired due to the ambient noise. Thanks to the reasons mentioned above, an efficient ECG data compression algorithm is required even in a noisy environment. This study proposes ε-insensitive quadratic loss based Support Vector Regression (ε-quadratic SVR) technique for the compression of ECG signals. There is a well-known relationship between loss functions and noise distributions. The proposed ε-insensitive quadratic loss function provides the optimal solution against Gaussian noise. Computer simulation results show that the proposed loss function is an attractive candidate for ECG data compression in the presence of Gaussian noise.

Anahtar Kelimeler

Data compression,Electrocardiogram; Modeling; Quadratic loss function; Support vector regression

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

-

Yazarlar

Omer Karal

Yayımlanma Tarihi

15 Ağustos 2018

Gönderilme Tarihi

7 Kasım 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2018 Cilt: 22 Sayı: 2

DOI

https://doi.org/10.19113/sdufbed.82260

IZ

https://izlik.org/JA74EJ94UX

Kaynak Göster

RIS / Bibtex

APA

Karal, O. (2018). ECG Data Compression Using ε-insensitive Quadratic Loss Function. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22(2), 380-387. https://doi.org/10.19113/sdufbed.82260

AMA

1.Karal O. ECG Data Compression Using ε-insensitive Quadratic Loss Function. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2018;22(2):380-387. doi:10.19113/sdufbed.82260

Chicago

Karal, Omer. 2018. “ECG Data Compression Using ε-insensitive Quadratic Loss Function”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 (2): 380-87. https://doi.org/10.19113/sdufbed.82260.

EndNote

Karal O (01 Ağustos 2018) ECG Data Compression Using ε-insensitive Quadratic Loss Function. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22 2 380–387.

IEEE

[1]O. Karal, “ECG Data Compression Using ε-insensitive Quadratic Loss Function”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 22, sy 2, ss. 380–387, Ağu. 2018, doi: 10.19113/sdufbed.82260.

ISNAD

Karal, Omer. “ECG Data Compression Using ε-insensitive Quadratic Loss Function”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22/2 (01 Ağustos 2018): 380-387. https://doi.org/10.19113/sdufbed.82260.

JAMA

1.Karal O. ECG Data Compression Using ε-insensitive Quadratic Loss Function. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2018;22:380–387.

MLA

Karal, Omer. “ECG Data Compression Using ε-insensitive Quadratic Loss Function”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 22, sy 2, Ağustos 2018, ss. 380-7, doi:10.19113/sdufbed.82260.

Vancouver

1.Omer Karal. ECG Data Compression Using ε-insensitive Quadratic Loss Function. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 01 Ağustos 2018;22(2):380-7. doi:10.19113/sdufbed.82260

Cited By

ε-Insensitive Least Squares Support Vector Regression with Sequential Minimal Optimization

Computing Open

https://doi.org/10.1142/S2972370123500046