Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mahmoud I. Al-Kadi"'
Publikováno v:
Sensors, Vol 14, Iss 7, Pp 13046-13069 (2014)
This paper presents a comparison between the electroencephalogram (EEG) channels during scoliosis correction surgeries. Surgeons use many hand tools and electronic devices that directly affect the EEG channels. These noises do not affect the EEG chan
Externí odkaz:
https://doaj.org/article/7907c4a3beeb4476bb70593505ca2e6c
Publikováno v:
Sensors, Vol 13, Iss 5, Pp 6605-6635 (2013)
Biosignal analysis is one of the most important topics that researchers have tried to develop during the last century to understand numerous human diseases. Electroencephalograms (EEGs) are one of the techniques which provides an electrical represent
Externí odkaz:
https://doaj.org/article/b6dd69b552954b8b967cb5f35f797b91
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 14; Issue 7; Pages: 13046-13069
Sensors, Vol 14, Iss 7, Pp 13046-13069 (2014)
Sensors; Volume 14; Issue 7; Pages: 13046-13069
Sensors, Vol 14, Iss 7, Pp 13046-13069 (2014)
This paper presents a comparison between the electroencephalogram (EEG) channels during scoliosis correction surgeries. Surgeons use many hand tools and electronic devices that directly affect the EEG channels. These noises do not affect the EEG chan
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 13, Iss 5, Pp 6605-6635 (2013)
Sensors, Vol 13, Iss 5, Pp 6605-6635 (2013)
Biosignal analysis is one of the most important topics that researchers have tried to develop during the last century to understand numerous human diseases. Electroencephalograms (EEGs) are one of the techniques which provides an electrical represent
Publikováno v:
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.
Electroencephalographic EEG gives an electrical representation biosignals to determine the variation in the activity of the human brain related to distinct emotions. EEG signal acquires many kind of noise when it's travel though different layer of br
Publikováno v:
Scopus-Elsevier
Analyzing Electroencephalogram (EEG) signal is a challenge due to the various artifacts used by Electromyogram, eye blink and Electrooculogram. The present de-noising techniques that are based on the frequency selective filtering suffers from a subst