Detection of seizure signals in newborns
| Author | Boashash, Boualem |
| Author | Barklem, P |
| Author | Keir, M |
| Available date | 2011-05-25T20:04:36Z |
| Available date | 2015-02-01T08:24:09Z |
| Publication Date | 1999-03 |
| Publication Name | Proceedings of Acoustics, Speech, and Signal Processing, ICASSP '99 |
| Citation | Proceedings of Acoustics, Speech, and Signal Processing, ICASSP '99,n page(s): 2351 - 2354 vol.4 |
| ISBN | 0-7803-5041-3 |
| Description | This is one of the earlier papers on the subject of newborn EEG seizure detection. For newborn EEG signals, the main author developed a software package that calculates IF estimates and TFDs; and it can be downloaded from the web site: www.time-frequency.net |
| Abstract | This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an extension of the method reported in Boashash et al. (1997) and Roessgen et al. (1998). We describe the proposed design, and discuss how the signals will be analysed and fused to detect the occurrence of seizure. We also discuss the role of modelling in refining the signal processing unit. |
| Language | en |
| Publisher | IEEE |
| Subject | ECG EEG EOG electro-oculogram signals epileptic seizures motion multidimensional biomedical signal newborns seizure signals Signal processing data fusion epilepsy transients Signal detection preprocessing EEG modeling |
| Type | Conference Paper |
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Technology Innovation and Engineering Education Unit [56 items ]
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