Article
Thermodynamics
Qian Kong, Ying Lu, Genshan Jiang, Yuechao Liu
Summary: In this work, a new method based on acoustic tomography (AT) is proposed to measure the velocity field in coal-fired boilers. The method utilizes a radial basis function neural network (RBFNN) and has been proven through numerical and physical experiments to provide accurate and real-time measurements with noise immunity. The results demonstrate the effectiveness of the proposed acoustic method in practical velocity field measurement.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Review
Computer Science, Artificial Intelligence
Beatriz Garcia-Martinez, Arturo Martinez-Rodrigo, Raul Alcaraz, Antonio Fernandez-Caballero
Summary: Electroencephalographic (EEG) recordings have traditionally been analyzed using linear metrics, but with the recognition of the brain's nonlinear and nonstationary behavior, linear methods have limitations. Recent studies have shown that nonlinear methods can provide new insights into how the brain functions in different emotional states.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2021)
Review
Neurosciences
Jun Cao, Yifan Zhao, Xiaocai Shan, Hua-liang Wei, Yuzhu Guo, Liangyu Chen, John Ahmet Erkoyuncu, Ptolemaios Georgios Sarrigiannis
Summary: This article reviews recent studies on EEG-based functional and effective connectivity, focusing on estimation, visualization, and machine learning classifier applications. Methods are explored from various dimensions, such as linear or nonlinear, parametric or nonparametric, and time-based, frequency-based or time-frequency-based.
HUMAN BRAIN MAPPING
(2022)
Article
Engineering, Biomedical
Salim Cinar
Summary: This paper introduces a hybrid system to automatically remove eye-blink artifacts from EEG by combining multiple methods. The proposed method showed better performance and does not require external electrodes for measuring eye-blink artifacts, ensuring comfortable measurements for patients.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Multidisciplinary Sciences
S. Ramaraju, S. Reichert, Y. Wang, R. Forsyth, P. N. Taylor
Summary: The study aimed to quantify the effect of inhaled 5% carbon dioxide/95% oxygen on EEG recordings from NCSE patients. Results showed inconsistent effects of carbogen on EEG band-power and network metrics across the five patients, suggesting a potentially non-homogeneous impact. Tuning carbogen parameters on a personalized basis may improve seizure suppression in the future.
Article
Engineering, Electrical & Electronic
Shiwei Cheng, Jialing Wang, Danyi Sheng, Yijian Chen
Summary: Biometric authentication using a hybrid brain-computer interface (BCI), combining electroencephalogram (EEG) and eye movement data features, achieved an average accuracy of 84.36% (highest 88.35%) in identifying shoulder surfers in anti-shoulder-surfing experiments, outperforming single feature-based approaches. Additional experiments demonstrated the effectiveness of the approach in reducing user misidentification. This approach holds great potential for implementing hybrid BCI authentication in anti-shoulder-surfing applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Biomedical
Shang-You Yang, Yuan-Pin Lin
Summary: Wearable low-density dry EEG headsets have broad applications in decoding brain activity and brain-triggered interaction for healthy individuals. However, movement artifacts present challenges to their validity outside laboratory settings. This study explored the effectiveness of hardware and software solutions for low-density and dry EEG recordings in non-tethered settings. Results showed that active-electrode designs effectively corrected movement artifacts for dry electrodes, while the ASR pipeline was compromised by limited electrodes. This suggests that lightweight, minimally obtrusive dry EEG headsets should at least include an active-electrode infrastructure to maintain their validity and applicability in real-world scenarios.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Cheng-Yu Ku, Jing-En Xiao, Chih-Yu Liu, Der-Guey Lin
Summary: This paper introduces a meshless method using radial polynomials and the multiple source collocation scheme for solving elliptic boundary value problems. Compared with traditional radial basis function methods, the proposed method achieves better accuracy with the same number of collocation points, and highly accurate solutions can be obtained by increasing the number of radial polynomial terms.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Clinical Neurology
T. Maxwell Parker, Shervin Badihian, Ahmed Hassoon, Ali S. Saber Tehrani, Nathan Farrell, David E. Newman-Toker, Jorge Otero-Millan
Summary: Smartphone applications show promise in the assessment of neuro-ophthalmologic and vestibular disorders. The study found that the accuracy of head movements recorded using the application was better than eye movements, and the accuracy of horizontal eye movements was better than vertical movements. The precision of head movements was also better than eye movements, and variability tended to increase with eccentricity.
FRONTIERS IN NEUROLOGY
(2022)
Article
Chemistry, Analytical
Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas
Summary: The paper introduces a novel system using RF algorithm to classify eye movements and visual states, aiming to be utilized as a BCI control system for driving an electromechanical wheelchair. Experimental results demonstrate that the RF algorithm outperforms other approaches and achieves a high accuracy (85.39%) for a 6-class classification.
Review
Computer Science, Artificial Intelligence
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios Tsalikakis, Markos G. Tsipouras
Summary: Alzheimer's Disease (AD) is a neurodegenerative disorder that can be diagnosed through various clinical procedures, with recent focus on analyzing electrophysiological dynamics. Most studies reviewed in this paper concentrate on AD detection and the correlation of quantitative EEG features with AD progression, often utilizing Support Vector Machines.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Psychology, Mathematical
Denise M. Werchan, Moriah E. Thomason, Natalie H. Brito
Summary: Groundbreaking insights into the origins of the human mind can be obtained through studying eye movements of preverbal subjects. A new open-source methodology called OWLET is introduced, which automatically analyzes infant eye-tracking data collected on personal devices in the home. OWLET provides reliable estimation of infants' point-of-gaze and fills a significant gap in current tools for rapid online data collection and large-scale assessments of cognitive processes in infants.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Engineering, Civil
Ziyang Gao, Jinchun Chai
Summary: Permeability function is a key function in unsaturated soil mechanics, and an empirical equation has been proposed to estimate the parameters in Mualem's permeability function, providing a first order estimation of permeability function.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Nutrition & Dietetics
Duhyeon Kim, Minseok Yoon, Seonghui Kim, Min Young Um, Suengmok Cho
Summary: In this study, it was found that the ethanol extract of green kiwifruit peel (GKPEE) can promote sleep by increasing non-rapid eye movement sleep duration and decreasing sleep latency in mice. The sleep-promoting effects of GKPEE were comparable to diazepam, a commonly used sedative-hypnotic agent. Furthermore, GKPEE showed persistent effects even after sub-chronic administration, without tolerance phenomena. This suggests that GKPEE may be a promising natural sleep aid for treating sleep disorders, and its application can contribute to the utilization of food industry by-products and help solve environmental problems.
Article
Computer Science, Artificial Intelligence
Ruivaldo Lobao-Neto, Adrien Brilhault, Sergio Neuenschwander, Ricardo Rios
Summary: Analysis of eye-movements plays a crucial role in various applications, but traditional methods have limitations. In this paper, we propose a new approach that can automatically classify eye saccade and fixation events in real-time without the need for fixed threshold parameters. Comparisons with previous methods demonstrate the accurate predictions of our approach. This is significant for eye-tracking research in neuroscience and other fields.
PATTERN RECOGNITION LETTERS
(2022)