Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis
Journal Title: Natural and Engineering Sciences - Year 2018, Vol 3, Issue 3
Abstract
Deep Learning (DL) is a two-step classification model that consists feature learning, generating feature representations using unsupervised ways and the supervised learning stage at the last step of model using at least two hidden layers on the proposed structures by fully connected layers depending on of the artificial neural networks. The optimization of the predefined classification parameters for the supervised models eases reaching the global optimality with exact zero training error. The autoencoder (AE) models are the highly generalized ways of the unsupervised stages for the DL to define the output weights of the hidden neurons with various representations. As alternatively to the conventional Extreme Learning Machines (ELM) AE, Hessenberg decomposition-based ELM autoencoder (HessELM-AE) is a novel kernel to generate different presentations of the input data within the intended sizes of the models. The aim of the study is analyzing the performance of the novel Deep AE kernel for clinical availability on electroencephalogram (EEG) with stroke patients. The slow cortical potentials (SCP) training in stroke patients during eight neurofeedback sessions were analyzed using Hilbert-Huang Transform. The statistical features of different frequency modulations were fed into the Deep ELM model for generative AE kernels. The novel Deep ELM-AE kernels have discriminated the brain activity with high classification performances for positivity and negativity tasks in stroke patients.
Authors and Affiliations
Gokhan Altan, Yakup Kutlu
Keywords
Related Articles
- EP ID EP404417
- DOI 10.28978/nesciences.468978
- Views 117
- Downloads 0
The Potential Anti-Diabetic Effects of Some Plant Species
Diabetes mellitus is a global disease, of which prevalence increases rapidly. It causes severe microvascular and macrovascular complications such as retinopathy, nephropathy, cardiomyopathy, neuropathy etc. These contrib...
Climatic Trends in the Temperature of Çanakkale City, Turkey
Climate is a dynamic process changing in both temporal and spatial scales. Climate change and global warming has been extensively accepted and commonly described as rising of the temperature. Long-term trends and changes...
First Scientific Records of the Invasive Red Swamp Crayfish, Procambarus clarkii (Girard, 1852) (Crustacea: Cambaridae) in Malta, a Threat to Fragile Freshwater Habitats.
This study reports the first records of the invasive fresh water red swamp crayfish, Procambarus clarkii in Malta, first spotted in the wild in summer 2016. In spring 2017, 26 specimens of P. clarkii were collected, sexe...
First Record of Elongate Bulleye Priacanthus prolixus in the Mediterranean Sea
Elongate bulleye, Priacanthus prolixus was first time recorded from the Mediterranean Sea. One specimen of P. prolixus was caught by a commercial trawler at a depth of 70 m in 7 November 2016 from İskenderun Bay, Northea...
The second record of the Seychelles dragonet Synchiropus sechellensis in the Northeastern Mediterranean coasts of the Turkey
Two female and one male specimens of the Seychelles dragonet Synchiropus sechellensis were caught by a commercial trawl at a depths of about 55-65 m on 04 November 2017 from the Aydıncık coast, Turkey. The present paper...