Title |
Classification Enhancement for Post-Stroke Dementia Using Fuzzy Neighborhood Preserving Analysis with QR-Decomposition
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Published in |
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 2017
|
DOI | 10.1109/embc.2017.8037531 |
Pubmed ID | |
Authors |
Noor Kamal Al-Qazzaz, Sawal Ali, Siti Anom Ahmad, Javier Escudero |
Abstract |
The aim of the present study was to discriminate the electroencephalogram (EEG) of 5 patients with vascular dementia (VaD), 15 patients with stroke-related mild cognitive impairment (MCI), and 15 control normal subjects during a working memory (WM) task. We used independent component analysis (ICA) and wavelet transform (WT) as a hybrid preprocessing approach for EEG artifact removal. Three different features were extracted from the cleaned EEG signals: spectral entropy (SpecEn), permutation entropy (PerEn) and Tsallis entropy (TsEn). Two classification schemes were applied - support vector machine (SVM) and k-nearest neighbors (kNN) - with fuzzy neighborhood preserving analysis with QR-decomposition (FNPAQR) as a dimensionality reduction technique. The FNPAQR dimensionality reduction technique increased the SVM classification accuracy from 82.22% to 90.37% and from 82.6% to 86.67% for kNN. These results suggest that FNPAQR consistently improves the discrimination of VaD, MCI patients and control normal subjects and it could be a useful feature selection to help the identification of patients with VaD and MCI. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 25% |
Student > Bachelor | 4 | 13% |
Student > Doctoral Student | 3 | 9% |
Researcher | 3 | 9% |
Lecturer > Senior Lecturer | 2 | 6% |
Other | 3 | 9% |
Unknown | 9 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 31% |
Computer Science | 3 | 9% |
Engineering | 3 | 9% |
Neuroscience | 3 | 9% |
Psychology | 1 | 3% |
Other | 2 | 6% |
Unknown | 10 | 31% |