Analysis of frequency domain features for the classification of evoked emotions using EEG signals
Sign Up to like & getrecommendations! Published in 2025 at "Experimental Brain Research"
DOI: 10.1007/s00221-025-07002-1
Abstract: Emotion is a natural instinctive state of mind that greatly influences human physiological activities and daily life decisions. Electroencephalogram (EEG) signals created from the central nervous system are very useful for emotion recognition and classification.… read more here.
Keywords: eeg signals; evoked emotions; domain features; frequency domain ... See more keywords
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
Effects of platelet-rich plasma injection on electrical activity and biomechanics of the erector spinae muscles in lumbar myofascial pain syndrome
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72554-1
Abstract: Low back pain (LBP) is a highly prevalent disease. Among the various causes of LBP, one of the most frequent is myofascial pain syndrome (MPS) which affects the spinal stabilizer muscles. The aims of this… read more here.
Keywords: treatment; pain; side; 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
Toward Improved Classification of Perceived Stress Using Time Domain Features
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DOI: 10.1109/access.2024.3369674
Abstract: Perceived stress is the predominant mental health concern in this age of development and progress. Timely and precise recognition of perceived stress is vital for appropriate and effective treatment. Previously, many studies intended to classify… read more here.
Keywords: classification; perceived stress; time domain; domain features ... See more keywords
SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3621474
Abstract: The rapid advancement of generative artificial intelligence is producing fake remote sensing imagery (RSI) that is increasingly difficult to detect, potentially leading to erroneous intelligence, fake news, and even conspiracy theories. Existing forgery detection methods… read more here.
Keywords: forgery detection; domain features; remote sensing; frequency domain ... 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
Attention-Guided Progressive Frequency-Decoupled Network for Pan-Sharpening
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3376730
Abstract: Existing pan-sharpening methods focus more on the processing of spatial domain features, which is difficult to balance for multiresolution performance and prone to difficulties such as edge blurring or artifacts. In this article, we propose… read more here.
Keywords: pan sharpening; attention; domain features; network ... See more keywords
Noninvasive and Quantitative Measurement of Intrinsic Laryngeal Muscle Activity Using Surface Electromyography
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3566810
Abstract: Objective: Healthy functions of intrinsic laryngeal muscles (ILMs) are important for normal speech production. This work aims to measure ILM activities for accurate assessment of laryngeal function. Methods: A noninvasive method using two-channel surface electromyography… read more here.
Keywords: muscle activity; electromyography; domain features; activity ... 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