Zobrazeno 1 - 10
of 47
pro vyhledávání: '"C. Bigan"'
Publikováno v:
ISRN Signal Processing. 2013:1-17
A blind source separation method is described to extract sources from data mixtures where the underlying sources are sparse and correlated. The approach used is to detect and analyze segments of time where one source exists on its own. The method doe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b22a7bbbc8a9d210c877cd85628240e7
https://doi.org/10.1155/2013/218651
https://doi.org/10.1155/2013/218651
Publikováno v:
Digital Signal Processing. 18:985-1012
This paper addresses the blind source separation (BSS) problem where the input data are mixtures of sources that are ''sparse''-that is each source has zero amplitude for some of the time. It is shown that, under certain conditions, it is possible to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6334e1772e988ae50730392969da24b
https://doi.org/10.1016/j.dsp.2008.05.005
https://doi.org/10.1016/j.dsp.2008.05.005
Publikováno v:
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
The paper presents a model of information flow through the sensors to muscle system in regard to the control of output. The model takes into account both the logical and emotional action components. The emotional components depend on the current need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3de28d92716ba130f28661b7afe60658
https://doi.org/10.1109/iembs.2001.1019074
https://doi.org/10.1109/iembs.2001.1019074
Autor:
M. Woolfson, C. Bigan
Publikováno v:
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
The paper discusses methods for independent source identification within multiple channels electroencephalographical (EEG) signals recordings. The focus is to compare the independent component analysis (ICA) technique to a novel proposed method for i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::730f8a33a4012bd35872b619a625fe9d
https://doi.org/10.1109/iembs.2004.1403206
https://doi.org/10.1109/iembs.2004.1403206
Autor:
C. Bigan, G. Henderson, R. Sneyd, Emmanuel Ifeachor, N. R. Hudson, C. Dong, Nicholas Outram, H.S.K. Wimalaratna
Publikováno v:
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
An important trend in medical technology is towards support for personalised healthcare, fuelled by developments in genomic-based medicine. New computational intelligent techniques for biodata analysis will be needed to fully exploit the vast amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ce90dfd6817bf9767be9572a37916fe
https://doi.org/10.1109/iembs.2004.1404510
https://doi.org/10.1109/iembs.2004.1404510
Autor:
C. Bigan
Publikováno v:
IEEE International Symposium on Intelligent Signal Processing, 2003.
We show the possibility of detection and computing the required control of chaotic cardiac arrhythmia dynamics out of normal external ECG recordings using independent component analysis (ICA) followed by nonlinear dynamic processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b25449c9c6b9b72beec311d97265d119
https://doi.org/10.1109/isp.2003.1275824
https://doi.org/10.1109/isp.2003.1275824
Autor:
C. Bigan, R Strungaru
Publikováno v:
Biomedizinische Technik. Biomedical engineering. 43
Analysis of EEG events, as e.g. the epileptic seizures, is a challenge for a lot of research that has been carried out during the last five years. New methods are required to better analyse the epileptic transients occurring during seizures. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9adee3c5bcba29fbb048baacef9c4b84
https://pubmed.ncbi.nlm.nih.gov/11776223
https://pubmed.ncbi.nlm.nih.gov/11776223
Autor:
C. Bigan, R. Strungaru
Publikováno v:
Biomedizinische Technik. Biomedical engineering. 43
During the last years, a lot of EEG research efforts was directed to intelligent methods for automatic analysis of data from multichannel EEG recordings. However, all the applications reported were focused on specific single tasks like detection of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7175b33b127d1cd609f6f9303c6c1489
https://pubmed.ncbi.nlm.nih.gov/11776215
https://pubmed.ncbi.nlm.nih.gov/11776215
Autor:
Malcolm Woolfson, C. Bigan
Publikováno v:
First International Conference on Advances in Medical Signal and Information Processing.
An evaluation is made of two novel methods in the tracking of variations in frequency of the various components present in an electroencephalogram (EEG) signal, for example when the subject is undergoing an epileptic seizure. In one method, the polyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8275b26d36f1e95a704f122a5302d795
https://doi.org/10.1049/cp:20000331
https://doi.org/10.1049/cp:20000331
Autor:
C. Bigan, M. Alexandru
Publikováno v:
Proceedings of the Third International Conference on Information Fusion.
A generic distributed system architecture for process monitoring, fault diagnosis and assisted maintenance is proposed. The diagnosis system aims at identifying failures as and when they happen in normal operation. It integrates different fault detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78135b328e5f8f497e92a3f33ad7755e
https://doi.org/10.1109/ific.2000.862711
https://doi.org/10.1109/ific.2000.862711