Power noise removal for monitoring of biomedical signals in daily life applications

Zbigniew Krajewski; Ewaryst Tkacz

doi:10.1166/jmihi.2012.1063

Power noise removal for monitoring of biomedical signals in daily life applications

Zbigniew Krajewski
, Ewaryst Tkacz

Katedra Informatyki Medycznej i Sztucznej Inteligencji (RIB/RIB1)

Silesian University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

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Abstrakt

The paper deals with practical digital filter implementation to suppress power noise using integer coefficients filters. Very fast and simple solution enables to suppress both basic and harmonic components of power noise with nonlinear distortions. Real ECG signals are used to test effectiveness of power noise suppression. Accuracy is evaluated for basic sinusoidal and rectangular wave of noise.

Język oryginału	angielski
Strony (od–do)	44-48
Liczba stron	5
Czasopismo	Journal of Medical Imaging and Health Informatics
Tom	2
Numer wydania	1
Identyfikatory DOI	https://doi.org/10.1166/jmihi.2012.1063
Status publikacji	Opublikowano - mar 2012

Obszary tematyczne ASJC Scopus

Radiologia, medycyna nuklearna i obrazowanie
Informatyka medyczna

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10.1166/jmihi.2012.1063

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title = "Power noise removal for monitoring of biomedical signals in daily life applications",

abstract = "The paper deals with practical digital filter implementation to suppress power noise using integer coefficients filters. Very fast and simple solution enables to suppress both basic and harmonic components of power noise with nonlinear distortions. Real ECG signals are used to test effectiveness of power noise suppression. Accuracy is evaluated for basic sinusoidal and rectangular wave of noise.",

keywords = "50 Hz, 60 Hz, Digital signal processing, FIR filters, Filter design, IIR filters, Integer coefficient filters, Lynn's filters, Power noise removal",

author = "Zbigniew Krajewski and Ewaryst Tkacz",

year = "2012",

month = mar,

doi = "10.1166/jmihi.2012.1063",

language = "English",

volume = "2",

pages = "44--48",

journal = "Journal of Medical Imaging and Health Informatics",

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publisher = "American Scientific Publishers",

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T1 - Power noise removal for monitoring of biomedical signals in daily life applications

AU - Krajewski, Zbigniew

AU - Tkacz, Ewaryst

PY - 2012/3

Y1 - 2012/3

N2 - The paper deals with practical digital filter implementation to suppress power noise using integer coefficients filters. Very fast and simple solution enables to suppress both basic and harmonic components of power noise with nonlinear distortions. Real ECG signals are used to test effectiveness of power noise suppression. Accuracy is evaluated for basic sinusoidal and rectangular wave of noise.

AB - The paper deals with practical digital filter implementation to suppress power noise using integer coefficients filters. Very fast and simple solution enables to suppress both basic and harmonic components of power noise with nonlinear distortions. Real ECG signals are used to test effectiveness of power noise suppression. Accuracy is evaluated for basic sinusoidal and rectangular wave of noise.

KW - 50 Hz

KW - 60 Hz

KW - Digital signal processing

KW - FIR filters

KW - Filter design

KW - IIR filters

KW - Integer coefficient filters

KW - Lynn's filters

KW - Power noise removal

UR - https://www.scopus.com/pages/publications/84881220234

U2 - 10.1166/jmihi.2012.1063

DO - 10.1166/jmihi.2012.1063

M3 - Article

AN - SCOPUS:84881220234

SN - 2156-7018

VL - 2

SP - 44

EP - 48

JO - Journal of Medical Imaging and Health Informatics

JF - Journal of Medical Imaging and Health Informatics

IS - 1

ER -

Power noise removal for monitoring of biomedical signals in daily life applications

Abstrakt

Obszary tematyczne ASJC Scopus

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