Optimized FIR filter using genetic algorithms: A case study of ECG signals filter optimization

Simple item page
dc.contributor.authorHamici, Houssam
dc.contributor.authorKanan, Awos
dc.contributor.authorAl-hammuri, Khalid
dc.date.accessioned2024-01-04T19:28:45Z
dc.date.available2024-01-04T19:28:45Z
dc.date.copyright2023en_US
dc.date.issued2023
dc.description.abstractThe advancement in technology and the availability of specialized digital signal processing chips have made digital filter design and implementation more feasible in a variety of fields, including biomedical engineering. This paper makes two key contributions. First, it uses a genetic algorithm to optimize the coefficients of finite impulse response (FIR) filters. Second, it conducts a case study on using genetic algorithms to optimize FIR filters for electrocardiogram (ECG) biomedical signal noise removal. The goal of the proposed filter design approach is to achieve the desired signal bandwidth while minimizing the side lobe level and eliminating unwanted signals using a genetic algorithm. The results of a comprehensive analysis show that the genetic algorithm-based filter is more effective than conventional filter designs in terms of noise removal efficiency.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.identifier.citationHamici, H., Kanan, A., & Al-hammuri, K. (2023). Optimized FIR filter using genetic algorithms: A case study of ECG signals filter optimization. BioMedInformatics, 3(4), 1197–1215. https://doi.org/10.3390/biomedinformatics3040071en_US
dc.identifier.urihttps://doi.org/10.3390/biomedinformatics3040071
dc.identifier.urihttp://hdl.handle.net/1828/15789
dc.language.isoenen_US
dc.publisherBioMedInformaticsen_US
dc.rightsAttribution 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.subjectgenetic algorithms
dc.subjectdigital filters
dc.subjectmetaheuristic optimization
dc.subjectfinite impulse response (FIR)
dc.subjectside lobe level (SLL)
dc.subject.departmentDepartment of Electrical and Computer Engineering
dc.titleOptimized FIR filter using genetic algorithms: A case study of ECG signals filter optimizationen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Hamici_Houssam_BioMedInformatics_2023.pdf
Size:
2.53 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculty and Staff Publications
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.