Article
Chemistry, Multidisciplinary
Tao Zhang, Jichi Chen, Enqiu He, Hong Wang
Summary: This study developed an efficient system based on EEG signals to detect driver fatigue, with sample entropy identified as an effective distinguishing feature. Experimental results demonstrated excellent performance of the system in classifying fatigue and normal subjects.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Guanhua Zhang, Minjing Yu, Yong-Jin Liu, Guozhen Zhao, Dan Zhang, Wenming Zheng
Summary: In this article, a sparse DGCNN model is proposed to improve the emotion recognition performance by imposing a sparseness constraint on the graph G. The research reveals that different brain regions may have different functions and the functional relations among electrodes are possibly highly localized and sparse. The experiments show that the sparse DGCNN model has consistently better accuracy than representative methods and has good scalability.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Engineering, Biomedical
P. Modares-Haghighi, R. Boostani, M. Nami, S. Sanei
Summary: This study presents a method for distinguishing pain levels using EEG signals, achieving 92% accuracy in differentiating between pain and no-pain states. By analyzing brain connectivity graphs features, a bio-inspired decision tree was used for classification, with 86% accuracy for five pain classes. The results also demonstrated robustness against noise at different signal-to-noise ratio levels.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Safaa Eldeeb, Matthew Sybeldon, Busra Susam, Murat Akcakaya, Thomas Wozny, Jullie Pan, Robert Mark Richardson, Anto Bagic, Arun Antony
Summary: Epilepsy is a chronic brain disorder with some patients requiring surgery as the only potential cure. A novel method using intracranial EEG for seizure detection has been proposed in this study, which only requires a short period of normal EEG for training. The method has successfully detected seizures without the need for highly customizable parameters or previously labeled data.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Shiqi Yang, Min Li, Jiale Wang
Summary: This article proposes a multimodal fusion strategy of EEG and sEMG based on graph theory to improve the accuracy and robustness of hand motion recognition. By considering the temporal signals of EEG and sEMG as the features of nodes and the functional connectivity as the weights of edges, the proposed approach achieves significantly higher accuracy than parallel fusion and single-modality models under abnormal states such as muscular fatigue and weakness.
IEEE SENSORS JOURNAL
(2022)
Article
Ophthalmology
Takuro Kamei, Sotaro Ooto, Akihito Uji, Ai Ichioka, Akit Aka Tsujikawa
Summary: This study used multiple en face swept source optical coherence tomography angiography image averaging to examine the structural changes in the choriocapillaris in the fellow eyes of patients with neovascular AMD. The results showed that the flow void area and number of flow voids in the choriocapillaris were larger in patients with AMD compared to normal controls.
RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Emilio Lopez-Varela, Placido L. Vidal, Nuria Olivier Pascual, Jorge Novo, Marcos Ortega
Summary: This article introduces a computer-aided diagnosis and visualization method based on convolutional neural networks for rapid identification and visualization of wet AMD. By using transfer learning and generating 3D intuitive visualizations, this method can effectively evaluate the presence and extension of fluid associated with wet AMD.
JOURNAL OF DIGITAL IMAGING
(2022)
Article
Psychology, Biological
F. Zambolin, P. Duro Ocana, R. Goulding, A. Sanderson, M. Venturelli, G. Wood, J. McPhee, J. V. V. Parr
Summary: In this study, the corticomuscular mechanisms underlying blood flow occlusion (BFO) were investigated. The results showed that occlusion of non-exercising musculature suppressed electroencephalographic (EEG) alpha activity in the prefrontal cortex. On the other hand, occlusion of exercising musculature suppressed EEG alpha activity in central and posterior cortical regions and impaired brain-muscle communication and neuromuscular activation.
Article
Neurosciences
Mojtaba Jouzizadeh, Amir Hossein Ghaderi, Hamed Cheraghmakani, Seyed Mohammad Baghbanian, Reza Khanbabaie
Summary: This study investigated the resting-state brain network impairments in patients with multiple sclerosis (MS) using EEG and graph theoretical analysis. The results showed significant differences in betweenness centrality (BC) and small-world propensity (SWP) in the alpha band between the MS group and the normal group, indicating disruptions in the brain network of MS patients at both local and global scales.
BRAIN CONNECTIVITY
(2021)
Article
Engineering, Biomedical
Sadra Shahdadian, Xinlong Wang, Hashini Wanniarachchi, Akhil Chaudhari, Nghi Cong Dung Truong, Hanli Liu
Summary: This study found that transcranial photobiomodulation (tPBM) can enhance specific cortical regions' electrical activities in the healthy human brain and increase brain network complexity. This research is important for understanding the relationship between electrophysiological effects induced by tPBM and cognitive improvement.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Haojie Liu, Quan Liu, Mincheng Cai, Kun Chen, Li Ma, Wei Meng, Zude Zhou, Qingsong Ai
Summary: Establishing a driving fatigue monitoring system is crucial, with EEG signals being the most direct method. A novel detection model called AMD-GCN was proposed, achieving an accuracy of 89.94% on public dataset SEED-VIG, showing more effectiveness for EEG-based driving fatigue detection.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Physiology
Inga Kottlarz, Sebastian Berg, Diana Toscano-Tejeida, Iris Steinmann, Mathias Baehr, Stefan Luther, Melanie Wilke, Ulrich Parlitz, Alexander Schlemmer
Summary: In this study, ordinal pattern analysis and classical frequency-based EEG analysis methods were used to differentiate EEGs of different age groups and individuals. The results showed that ordinal pattern-based measures were comparable to frequency-based measures and outperformed them when applied to raw data, with no significant differences in performance between single-channel features and functional connectivity features regarding age group separation.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Engineering, Biomedical
E. A. Malaia, S. C. Borneman, J. Krebs, R. B. Wilbur
Summary: The study indicates that signers rely on lower EEG response frequencies for sign language comprehension, while information about higher frequency cortical tracking is less informative. This suggests that fluent signers use predictive processing based on their sign language knowledge.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Computer Science, Information Systems
Yufan Peng, Chi Man Wong, Ze Wang, Agostinho C. Rosa, Hong Tao Wang, Feng Wan
Summary: This study proposes a method based on wavelet entropy of EEG to detect fatigue in SSVEP-BCI users in real time. Experimental results show that the wavelet entropy method outperformed the traditional entropy method in detecting fatigue with higher accuracy.
Article
Biology
Mousa Moradi, Yu Chen, Xian Du, Johanna M. Seddon
Summary: The study aimed to improve AMD detection by optimizing retinal layer segmentation and deep ensemble learning. An algorithm combining graph-cut and cubic spline was used to annotate retinal boundaries, and a deep ensemble mechanism was applied for deep learning. The results showed that the developed model exhibited significantly better segmentation performance compared to previous methods, and achieved higher diagnostic accuracy in AMD classification.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Berry van den Berg, Marlon de Jong, Marty G. Woldorff, Monicque M. Lorist
Summary: This study found that the combination of caffeine and reward prospect decreases preparatory attention activity and enhances neural processes related to task-relevant information.
JOURNAL OF COGNITIVE NEUROSCIENCE
(2021)
Article
Neurosciences
Tineke de Haan, Berry van den Berg, Marty G. Woldorff, Andre Aleman, Monicque M. Lorist
Summary: As individuals age, their ability to learn from feedback decreases, resulting in diminished evaluation of positive feedback, reduced knowledge updating, and decreased adaptation of choice behavior in older adults.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Joyce B. Weersink, Bauke M. de Jong, David M. Halliday, Natasha M. Maurits
Summary: The swinging of the arms during human gait supports efficient lower limb muscle activation, suggesting a neural coupling between the upper and lower limbs. Intermuscular coherence analysis revealed significant coherence between upper and lower limbs, indicating common subcortical and cortical drivers coordinating the rhythmic four-limb gait pattern. Findings suggest that arm swing may serve as an effective rehabilitation therapy for impaired gait in neurological diseases.
JOURNAL OF PHYSIOLOGY-LONDON
(2021)
Review
Chemistry, Analytical
Mariano Bernaldo de Quiros, E. H. Douma, Inge van den Akker-scheek, Claudine J. C. Lamoth, Natasha M. Maurits
Summary: This review examines the use of wearable sensors to measure movement in stroke patients and evaluates the relationship between sensor-based outcomes and existing clinical evaluation methods. The results show that sensor-based measures provide additional information for understanding patient behavior and recovery beyond what clinical evaluations can provide.
Article
Psychology, Applied
Tineke de Haan, Arjan Stuiver, Monicque M. Lorist, Dick de Waard
Summary: Age-related changes in driving behavior impact other road users. Older drivers exhibit similar performance as younger drivers in low task complexity, but show reduced performance as tasks become more demanding. Their compensatory behavior to lower task requirements may have negative effects on other road users in time-critical situations.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Behavioral Sciences
Cherie Zhou, Monicque M. Lorist, Sebastiaan Mathot
Summary: This study aimed to extend and replicate previous findings on the effects of memory load and duration on color representations in visual working memory. The results showed that visual working memory exhibits a stronger categorical bias for longer memory durations and intermediate memory loads.
Article
Chemistry, Analytical
Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, Natasha M. Maurits
Summary: There are overlapping phenotypic features between Early Onset Ataxia (EOA) and Developmental Coordination Disorder (DCD), making their clinical distinction complicated. This study presents a framework for quantitative gait assessment using 2D video recording and pose estimation, and evaluates different normalization methods for distance-based features. The results show the potential of using routine video recordings and distance-based features for the clinical evaluation of movement in EOA and DCD.
Article
Linguistics
Vass Verkhodanova, Matt Coler, Roel Jonkers, Sanne Timmermans, Natasha Maurits, Bauke de Jong, Wander Lowie
Summary: This study investigates the relationship between listeners' perceptual judgments of speech healthiness and the acoustic changes in the speech of people with Parkinson's disease. The findings show that regardless of listeners' expertise and language background, they are more sensitive to speech rate, phonation deficiency, and vowel centralization when classifying speech as healthy or unhealthy. These findings suggest that aspects of phonation and prosody serve as prominent markers of speech healthiness for listeners, independent of their first language or expertise. This has important implications for clinical practice and the subjective perception of speech in people with Parkinson's disease.
JOURNAL OF NEUROLINGUISTICS
(2022)
Article
Ophthalmology
Hao Lou, Monicque M. Lorist, Karin S. Pilz
Summary: Visual attention can be focused on locations or objects, resulting in space-based effects and object-based effects. Previous research has shown that object-based effects are smaller and less consistent, with significant individual differences. This study examined the occurrence of object-based and space-based effects under different cue validities and time intervals. The results indicate that both object-based and space-based effects are influenced by cue validity, but cue validity does not fully explain the diminished prevalence and magnitude of object-based effects.
Article
Psychology, Experimental
Cherie Zhou, Monicque M. Lorist, Sebastiaan Mathot
Summary: Recent studies on visual working memory show that continuous representations in memory require more effort than categorical representations, leading to reduced memory precision as memory load increases. This suggests that maintaining continuous representations is more mentally taxing and can only be sustained in small quantities.
Article
Mathematics, Applied
Gerk Rozema, Arthur E. P. Veldman, Natasha M. Maurits
Summary: This paper describes the challenges of numerical coupling in multiphysics problems, particularly in the simulation of blood flow in compliant arteries. It analyzes the coupling between fluid flow and elastic vessel walls, as well as the coupling between a detailed 3D local flow model and a global 0D model representing global circulation. Different coupling approaches, both weak and strong, are studied, and their numerical stability limitations are discussed. The quasi-simultaneous coupling method, originally developed for partitioned problems in aerodynamics, is shown to be a robust and flexible approach for hemodynamic applications.
APPLIED NUMERICAL MATHEMATICS
(2023)
Article
Cardiac & Cardiovascular Systems
Graziella Eshuis, Hiske van Duinen, Otto T. H. M. Lelieveld, Anneke K. Hegeman, Hessel Nijenhuis, Tineke P. Willems, Ann M. Hepping, Natasha Maurits, Gideon du Marchie J. Sarvaas, Rolf M. F. Berger
Summary: This study aimed to compare muscle strength in pediatric patients with repaired tetralogy of Fallot to healthy peers and analyze the correlation between muscle strength and peak oxygen uptake, exercise capacity. The study found that children with repaired tetralogy of Fallot have reduced muscle strength, which strongly correlates with their exercise performance.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Review
Medicine, General & Internal
Nick Eleveld, Diana C. Esquivel-Franco, Gea Drost, Anthony R. Absalom, Clark J. Zeebregts, Jean-Paul P. M. de Vries, Jan Willem J. Elting, Natasha M. Maurits
Summary: Near-infrared spectroscopy (NIRS) is a non-invasive technique used to measure tissue haemoglobin concentrations and oxygen saturation. However, the influence of extracerebral tissue on NIRS measurements is not clear. A systematic review of published studies was conducted, revealing that extracerebral tissue does influence NIRS measurements, but the evidence varies across studies.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Multidisciplinary Sciences
Emmy W. T. van de Burgt, Robbert van der Mijn, Sara Fabbri, Monicque M. Lorist
Summary: This article describes two experiments focusing on the effects of environmental factors on itching and scratching behavior, with a particular focus on the content of audio-visual materials. The results indicate that the content of audio-visual materials plays a significant role in inducing itch sensations and that elevated levels of perceived itch are associated with an increase in scratching behavior.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Toivo Glatz, Wim Tops, Elisabeth Borleffs, Ulla Richardson, Natasha Maurits, Annemie Desoete, Ben Maassen
Summary: This study evaluates the effectiveness of a digital game-based learning tool for beginning readers of Dutch. Through a randomized controlled trial involving 247 first graders, the study found that the literacy game improved letter knowledge for all children in the classroom. Additionally, children with high phonological awareness were more fluent readers after extensive exposure to the reading game. This study is one of the first to use game-generated data for evaluating digital game-based learning for literacy interventions.
Article
Computer Science, Software Engineering
Rafael Maio, Tiago Araujo, Bernardo Marques, Andre Santos, Pedro Ramalho, Duarte Almeida, Paulo Dias, Beatriz Sousa Santos
Summary: Augmented Reality (AR) is a crucial technology in Industry 4.0 and smart manufacturing, particularly in the field of data monitoring. In this study, we developed a Pervasive AR tool for data monitoring, along with a web application for comparison purposes. User studies were conducted to gather feedback and evaluate the effectiveness of the systems, confirming the potential of Pervasive AR for data monitoring.
COMPUTERS & GRAPHICS-UK
(2024)
Article
Computer Science, Software Engineering
Berk Cebeci, Mehmet Bahadir Askin, Tolga K. Capin, Ufuk Celikcan
Summary: Despite advances in virtual reality technologies, extended VR sessions with head-mounted displays (HMDs) still face challenges in terms of comfort. In this study, a methodology using gaze-directed and visual saliency-guided paradigms for automatic stereo camera control in real-time interactive VR was proposed. The results showed that the gaze-directed approach outperformed the saliency-guided approach, both improving the overall depth feeling without hindering visual comfort in the tested virtual environments (VEs).
COMPUTERS & GRAPHICS-UK
(2024)
Article
Computer Science, Software Engineering
Ali Egemen Tasoren, Ufuk Celikcan
Summary: By developing the NOVAction engine, we have created the NOVAction23 dataset, which consists of highly diversified and photorealistic synthetic human action sequences. This dataset is significant in improving the performance of human action recognition.
COMPUTERS & GRAPHICS-UK
(2024)
