Deep learning methods for electroencephalogram (EEG) spike detection
This project is about developing novel deep learning methods for detecting abnormalities in time series. Specifically, we will consider the problem of detecting spikes in the EEG of patients of epilepsy as well as recurrent neural networks. We will also analyze the EEG of healthy subjects, as a base...
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sg-ntu-dr.10356-710632023-07-07T16:35:14Z Deep learning methods for electroencephalogram (EEG) spike detection Lim, Guan You Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This project is about developing novel deep learning methods for detecting abnormalities in time series. Specifically, we will consider the problem of detecting spikes in the EEG of patients of epilepsy as well as recurrent neural networks. We will also analyze the EEG of healthy subjects, as a baseline. This project was concluded on April 2017 and it was found that long short term memory networks work decently well in the spike detection of epileptic spikes. Tuned parameters were also presented in this report. Bachelor of Engineering 2017-05-15T03:35:27Z 2017-05-15T03:35:27Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71063 en Nanyang Technological University 66 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Lim, Guan You Deep learning methods for electroencephalogram (EEG) spike detection |
| description |
This project is about developing novel deep learning methods for detecting abnormalities in time series. Specifically, we will consider the problem of detecting spikes in the EEG of patients of epilepsy as well as recurrent neural networks. We will also analyze the EEG of healthy subjects, as a baseline. This project was concluded on April 2017 and it was found that long short term memory networks work decently well in the spike detection of epileptic spikes. Tuned parameters were also presented in this report. |
| author2 |
Justin Dauwels |
| author_facet |
Justin Dauwels Lim, Guan You |
| format |
Final Year Project |
| author |
Lim, Guan You |
| author_sort |
Lim, Guan You |
| title |
Deep learning methods for electroencephalogram (EEG) spike detection |
| title_short |
Deep learning methods for electroencephalogram (EEG) spike detection |
| title_full |
Deep learning methods for electroencephalogram (EEG) spike detection |
| title_fullStr |
Deep learning methods for electroencephalogram (EEG) spike detection |
| title_full_unstemmed |
Deep learning methods for electroencephalogram (EEG) spike detection |
| title_sort |
deep learning methods for electroencephalogram (eeg) spike detection |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10356/71063 |
| _version_ |
1772827955021479936 |