Evaluation of time domain features on detection of epileptic seizure from EEG signals
Sign Up to like & getrecommendations! Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-019-00363-y
Abstract: In the study of detection of an epileptic seizure using Electroencephalogram (EEG), pattern recognition has been recognised as a valued tool. In this pattern recognition study, the first time the authors have attempted to use… read more here.
Keywords: epileptic seizure; detection epileptic; time; time domain ... See more keywords
Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108927
Abstract: BACKGROUND Detecting human drowsiness during some critical works like vehicle driving, crane operating, mining blasting, etc. is one of the safeguards to prevent accidents. Among several drowsiness detection (DD) methods, a combination of neuroscience and… read more here.
Keywords: detecting drowsiness; time; time domain; domain features ... See more keywords
Domain-adaptive emotion recognition based on horizontal vertical flow representation of EEG signals
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270977
Abstract: With the development of cognitive science and brain science, brain-computer interface technology can use Electroencephalogram (EEG) signals to better represent the inner changes of emotions. In this paper, A video-induced emotional stimulation experimental paradigm was… read more here.
Keywords: based horizontal; horizontal vertical; domain; domain features ... See more keywords
A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2884942
Abstract: Surface electromyogram (sEMG) signals have been used to control multifunctional prosthetic hands. Researchers usually focused on the use of several channels with sEMG signals to identify more gestures without limiting the number of sEMG sensors.… read more here.
Keywords: semg signals; system; recognition system; domain features ... See more keywords
Contrast-Distorted Image Quality Assessment Based on Curvelet Domain Features
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i3.pp2595-2603
Abstract: Contrast is one of the most popular forms of distortion. Recently, the existing image quality assessment algorithms (IQAs) works focusing on distorted images by compression, noise and blurring. Reduced-reference image quality metric for contrast-changed images… read more here.
Keywords: domain; quality assessment; image quality; domain features ... See more keywords
Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.973959
Abstract: Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have potentially complementary characteristics that reflect the electrical and hemodynamic characteristics of neural responses, so EEG-fNIRS-based hybrid brain-computer interface (BCI) is the research hotspots in recent years. However,… read more here.
Keywords: domain; eeg fnirs; domain features; multi domain ... See more keywords