Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
Year
: 2013DOI: 10.1016/j.cmpb.2012.10.008
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Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
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| contributor author | Behshad Hosseinifard | |
| contributor author | Mohammad Hassan Moradi | |
| contributor author | Reza Rostami | |
| date accessioned | 2020-03-11T21:59:37Z | |
| date available | 2020-03-11T21:59:37Z | |
| date issued | 2013 | |
| identifier other | 1MSHN2Wka9oQUlLRo95HnMA16XZCfzbeltPBxsRZo4VUSmGcQi.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/674233 | |
| format | general | |
| language | English | |
| title | Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 5127755 | |
| identifier doi | 10.1016/j.cmpb.2012.10.008 | |
| journal title | Computer Methods and Programs in Biomedicine | |
| coverage | Academic | |
| pages | 339-345 | |
| journal volume | 109 | |
| journal issue | 3 | |
| filesize | 418584 | |
| citations | 4 |