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projects:year5:16.02 [2019/08/20 16:33]
sally.johnson created
projects:year5:16.02 [2019/08/22 10:48] (current)
sally.johnson [Project - Documents]
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 **Objectives** **Objectives**
-  * To research novel Neural Network structures that outperform the state-of-the-art in low-level image processing problems+Bioelectric measurements convey information about the function of the underlying organ or tissue. Despite the difference and complexity of the patterns in the cells' electrical activity, they may superficially appear to have a same phenotype. Therefore, the study of such signals is an interesting choice of medical experts for diagnosis and treatment. Identifying the underlying dynamics of physiological events using bioelectric signals is crucial to understand their functions. This provides discriminant characteristics for detecting the interest event from the background activity
-  * To collect database in order to enable evaluation of platform invariance. + 
-  * To test the platform invariance of the developed Neural Network based image processing algorithms.+In this project, our focus is to use Electroencephalography (EEF) recordings to detect seizure events automatically based on nonlinear dynamics. This is hot topic in epilepsy research community since diagnosis is still preformed by visual inspection. The tedious screening of long-term EEG recordings gives rise to the importance of automatic seizure detection methodsThus, we propose a seizure detection system. For validating the proposed method, we use two publicly available datasets (CHB-MIT [1] [2] and University Hospital of Bonn dataset [3]).
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 ===== Project - Team ===== ===== Project - Team =====
-^ Team Member      ^ Role         ^ Email                   ^ Phone Number       ^ Academic Site/IAB   ^ +^ Team Member      ^ Role     ^ Email                   ^ Phone Number       ^ Academic Site/IAB   ^ 
-| Moncef Gabbouj   | PI           |  | +358 (400) 736613  | Tampere University +| Moncef Gabbouj   | PI       |  | +358 (400) 736613  | Tampere University 
-| Serkan Kiranyaz  | Co-PI        | Not available           | Not available      | Tampere University +| Serkan Kiranyaz  | Co-PI    | Not available           | Not available      | Tampere University 
-Caglar Aytekin   | PhD Student  | Not available           | Not available      | Tampere University  |+Morteza Zabihi   | Student  | Not available           | Not available      | Tampere University  |
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 ===== Project - Impact and Uses/Benefits ===== ===== Project - Impact and Uses/Benefits =====
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-A supervised camera invariant color constancy algorithm is immediately applicable to camera industry. with such method, the dependency on unsupervised methods somewhat general but inferior performance can be eliminatedMoreover, the need of training a machine for each specific camera is also unnecessary thanks to color-conversion approachWith this methodone can only train a color constancy algorithm for one camera and immediately apply this CNN for other methodsThe only need is the color conversion pre-processing step which loads almost no computational complexity on top of the color constancy algorithm. Although since this method is also supervisedone needs the camera spectral sensitivity of the cameras used. This information is very easy to be obtained compared to the very heavy task of collecting a new database of each camera and training a network for each camera.+The expected impacts and exploitation of the project's results are listed as follows: 
 +1Scientific area: 
 +  * Contributing to better understanding of the mechanism of the physiological event such as  epileptic seizure. This is beneficial for diagnosis, prediction, treatment, and research purposes. 
 +2. Technology area: 
 +  * Unordered List ItemInnovativeaccurate and cost effective algorithm for seizure detection devices and epilepsy medical environmentsSpecificallyimproving the accuracy of long-term EEG screening.
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 ===== Project - Documents ===== ===== Project - Documents =====
projects/year5/16.02.1566336798.txt.gz · Last modified: 2019/08/20 16:33 by sally.johnson