Dear ColleaguesI wish to invite you to bring together researchers working on mathematical evaluations of brain activities in a special session on biomedical signal processing for International Conference on BioMedical Engineering and Informatics (BMEI-2008) will be co-located with the International Congress on Image and Signal Processing (CISP-2008) in Sanya. We will be glad to meet you at the conference of BMEI-2008. Author instructions and paper formating style are given at http://210.37.44.251/submission.html .Conference homepage: http://www.hainu.edu.cn/BMEI2008 MATHEMATICAL EVALUATIONS OF BRAIN ACTIVITIES AIMS and SCOPE The brain generates recordable ongoing electrical signals called electroencephalogram (EEG) in association with the nervous system of the human body. When an external stimuli is sent to the brain, a psychophysiological response is elicited. This diagnostic signal, buried in the background EEG, is named as evoked potential (EP) in general. The EP signals (EPs) can be collected in various experimental conditions so called as miss-match negativity, P300 recordings, cognitive paradigms, odd-ball easy, odd-ball hard, etc. With respect to the specific experiment, one can categorize these diagnostic signals into four main topics such as auditory EPs (AEPs), somatosensory EPs (SEPs), visual EPs (VEPs) and cognitive EPs. The choice of the stimuli is relevant to clinical investigation and evaluation of the central nervous system functions. Therefore, many researchers from multiple disciplines of biology, engineering, medicine and physics, have been studied on signal processing methods to estimate and analysis of true EPs. For that purposes, brain waves are frequently expressed by mathematical tools instead of statistical signal processing ones. Thus, linear algebra has been used to give the meaning of recordable brain waves from an engineering point of view. In applied medicine and biology, many algorithms, which are proposed for estimation, classification, modelling, and, analysis of bio-medical signals, are based on well-known mathematical definitions such as singular-value-decomposition, linear projection, subspace approximation, etc. For instance, brain activities can be illustrated graphically where the records are considered as real finite length functions. As well, some relative properties of such functions can be assigned as error criteria. Then, those type of mathematical investigations give us to new computational opportunities. APPROACHES
Additive model based linear estimation techniques Mathematical expressions of specific EP waveforms (EP modelling) Mathematical error definitions in extracting of EPs Meaning of singular-value-decomposition for observations depending on experimental conditions In this session, it is aimed to gather various evaluations of mathematical expressions in brain activities related to the focused EP category, Session Chair and Organizer Assist Prof Dr Serap AYDIN http://www2.omu.edu.tr/docs/english/1038.htm _________________________________________________________________ Yeni nesil Windows Live Servisleri’ne şimdi ulaşın! http://get.live.com
