Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

C. Charayaphan; A. E. Marble; S. T. Nugent; D. Swingler

doi:10.1016/0141-5425(92)90106-U

Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

C. Charayaphan, A. E. Marble, S. T. Nugent, D. Swingler

Medicine

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

2 Citas (Scopus)

Resumen

An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.

Idioma original	English
Páginas (desde-hasta)	516-520
Número de páginas	5
Publicación	Journal of Biomedical Engineering
Volumen	14
N.º	6
DOI	https://doi.org/10.1016/0141-5425(92)90106-U
Estado	Published - nov. 1992

ASJC Scopus Subject Areas

Biophysics

Acceder al documento

10.1016/0141-5425(92)90106-U

Otros archivos y enlaces

Citar esto

Charayaphan, C., Marble, A. E., Nugent, S. T., & Swingler, D. (1992). Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram. Journal of Biomedical Engineering, 14(6), 516-520. https://doi.org/10.1016/0141-5425(92)90106-U

@article{81f09e8d98c74b60a854e0aa54b268a9,

title = "Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram",

abstract = "An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.",

author = "C. Charayaphan and Marble, {A. E.} and Nugent, {S. T.} and D. Swingler",

year = "1992",

month = nov,

doi = "10.1016/0141-5425(92)90106-U",

language = "English",

volume = "14",

pages = "516--520",

journal = "Journal of Biomedical Engineering",

issn = "0141-5425",

publisher = "Elsevier BV",

number = "6",

}

TY - JOUR

T1 - Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

AU - Charayaphan, C.

AU - Marble, A. E.

AU - Nugent, S. T.

AU - Swingler, D.

PY - 1992/11

Y1 - 1992/11

N2 - An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.

AB - An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.

UR - http://www.scopus.com/inward/record.url?scp=0026699406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026699406&partnerID=8YFLogxK

U2 - 10.1016/0141-5425(92)90106-U

DO - 10.1016/0141-5425(92)90106-U

M3 - Article

C2 - 1434576

AN - SCOPUS:0026699406

SN - 0141-5425

VL - 14

SP - 516

EP - 520

JO - Journal of Biomedical Engineering

JF - Journal of Biomedical Engineering

IS - 6

ER -

Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

Resumen

ASJC Scopus Subject Areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto