Removal of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm

Removal of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm

Duong Trong Luong

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Nguyen Duc Thuan

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Dang Huy Hoang

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Hanoi University of Science and Technology

Removal of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm

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Abstract

ECG signals in measurements are contaminated by noises including power line interference. In recent years, adaptive filters with different approaches have been investigated to remove power line interference in ECG.In this paper, an adaptive filter is proposed to cancel power line interference in ECG signals. The proposed algorithm is experimented with MIT-BIH ECG signals data base. The algorithm’s results are compared with the results of other adaptive filter algorithms using Least Mean Square (LMS), Normalized Least Mean Square (NLMS) by Signal to Noise (SNR). Theses works are performed by LabVIEW software.

References

11 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Duong Trong Luong. 2015. \u201cRemoval of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C2): .

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GJCST Volume 15 Issue C2
Pg. 11- 14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: H.3.5

Submission ReceivedDecember 14, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

March 30, 2015

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Total Score: 103

Country: Unknown

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Duong Trong Luong, Nguyen Duc Thuan, Dang Huy Hoang (PhD/Dr. count: 0)

View Count (all-time): 265

Total Views (Real + Logic): 8184

Total Downloads (simulated): 2224

Publish Date: 2015 03, Mon

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Total Views: 8184

Total Downloads: 2224

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