Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals
نویسندگان
چکیده
منابع مشابه
Channel selection and classification of electroencephalogram signals: An artificial neural network and genetic algorithm-based approach
OBJECTIVE An electroencephalogram-based (EEG-based) brain-computer-interface (BCI) provides a new communication channel between the human brain and a computer. Amongst the various available techniques, artificial neural networks (ANNs) are well established in BCI research and have numerous successful applications. However, one of the drawbacks of conventional ANNs is the lack of an explicit inp...
متن کاملApplying Genetic Algorithm to EEG Signals for Feature Reduction in Mental Task Classification
Brain-Computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing EEG signals measured in different mental states. Therefore, choosing suitable features is demanded for a good BCI communication. In this regard, one of the points to be considered is feature vector dimensionality. We present a method of feature reduction us...
متن کاملClassification of EEG Signals for Discrimination of Two Imagined Words
In this study, a Brain-Computer Interface (BCI) in Silent-Talk application was implemented. The goal was an electroencephalograph (EEG) classifier for three different classes including two imagined words (Man and Red) and the silence. During the experiment, subjects were requested to silently repeat one of the two words or do nothing in a pre-selected random order. EEG signals were recorded by ...
متن کاملapplying genetic algorithm to eeg signals for feature reduction in mental task classification
brain-computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing eeg signals measured in different mental states. therefore, choosing suitable features is demanded for a good bci communication. in this regard, one of the points to be considered is feature vector dimensionality. we present a method of feature reduction us...
متن کاملMulti Objective Artificial Immune System Weighted Feature Selection for Classification
Supervised learning algorithm based on an AIS using clonal selection is already proposed [1]. Even though some AIS for classification have been developed, an artificial immune system for classification with local feature selection model has a unique feature; it includes the local feature selection mechanism. The aim of feature selection is to reduce the dimension of the input vector by the sele...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2018
ISSN: 1662-5161
DOI: 10.3389/fnhum.2018.00439