Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bader Al-Ghunaimi"'
Autor:
Abdulnasir Hossen, Bader Al-Ghunaimi
Publikováno v:
The Journal of Engineering Research, Vol 6, Iss 2, Pp 40-46 (2009)
A pattern recognition technique based on approximate estimation of power spectral densities (PSD) of sub-bands resulted from wavelet decomposition of R-R interval (RRI) data for identification of patients with Congestive Heart Failure (CHF) is invest
Externí odkaz:
https://doaj.org/article/1f5b196803474b89805bdfbb8179812d
Publikováno v:
In Signal Processing 2005 85(1):95-106
Autor:
Bader Al-Ghunaimi, Abdulnasir Hossen
Publikováno v:
The Journal of Engineering Research, Vol 6, Iss 2, Pp 40-46 (2009)
A pattern recognition technique based on approximate estimation of power spectral densities (PSD) of sub-bands resulted from wavelet decomposition of R-R interval (RRI) data for identification of patients with Congestive Heart Failure (CHF) is invest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4766cf642b533da3095426f8e74a5464
https://journals.squ.edu.om/index.php/tjer/article/view/65
https://journals.squ.edu.om/index.php/tjer/article/view/65
Autor:
Bader Al-Ghunaimi, Abdulnasir Hossen
Publikováno v:
Biomedical Signal Processing and Control. 2:135-143
A wavelet-decomposition with soft decision algorithm is used to estimate an approximate power spectral density (PSD) of R–R intervals (RRI) of ECG data for the purpose of screening of congestive heart failure (CHF) from normal subjects. The ratio o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b033820b49a3e0da8c49ed20b22df50
https://doi.org/10.1016/j.bspc.2007.05.008
https://doi.org/10.1016/j.bspc.2007.05.008
Publikováno v:
Signal Processing. 85:95-106
A new method for screening of obstructive sleep apnea (OSA) is investigated. This method is based on the estimation of the energy distribution of the R-R interval (RRI) signals in the time domain. The novelty of the technique arises from the implemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2b569f3837e648c1e171d820bab9cb
https://doi.org/10.1016/j.sigpro.2004.09.004
https://doi.org/10.1016/j.sigpro.2004.09.004
Autor:
T. Al-Yahyai, Deepali Jaju, Mohammed O. Hassan, Abdulnasir Hossen, Bader Al-Ghunaimi, B. Al-Faqeer, Mohammed A. Al-Abri
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 21(4)
BACKGROUND: Obstructive Sleep Apnea (OSA) is the cessation of breathing during sleep due to the collapse of upper airway. Polysomnographic recording is a conventional method for detection of OSA. Although it provides reliable results, it is expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::295af5722d871436d943211c1939b31b
https://pubmed.ncbi.nlm.nih.gov/23949174
https://pubmed.ncbi.nlm.nih.gov/23949174
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 14(1)
This paper aims at investigating a new technique of time-domain analysis of heart variability (R-R interval (RRI)) for the screening of patients with Congestive Heart Failure (CHF). This method is based on the Statistical Signal Characterization (SSC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1771041792e8bd0fd2ea12843bd39d9
https://pubmed.ncbi.nlm.nih.gov/16556962
https://pubmed.ncbi.nlm.nih.gov/16556962
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 12(1)
A new technique of time-domain analysis for screening of Obstructive Sleep Apnea (OSA) using R-R interval (RRI) data is investigated. This method is based on the Statistical Signal Characterization (SSC) of the analytical signal that is generated usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eac4932a6429835457bd4d2a7757a152
https://pubmed.ncbi.nlm.nih.gov/15096688
https://pubmed.ncbi.nlm.nih.gov/15096688