Article
Chemistry, Multidisciplinary
Daniele Germano, Nicolina Sciaraffa, Vincenzo Ronca, Andrea Giorgi, Giacomo Trulli, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Arico
Summary: This study evaluates the impact of different positions of the EEG headset on the performance of the BCI system and detects covariate shift using the Isolation Forest model. The results show a significant negative correlation between covariate shift and the accuracy of the passive BCI system. This approach opens up new perspectives for developing robust and flexible BCI systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Neurosciences
Byoung-Kyong Min, Hyun-Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight
Summary: By applying regularized linear discriminant analysis to human scalp EEG data, we were able to accurately distinguish between mental-rotation task and color-perception task, with dominant features found in the dorsal and ventral areas of the lateral PFC. This study highlights the ability of EEG to decode independent task states from PFC and underscores the functional specificity of dorsal and ventral PFC in processing different types of tasks.
Article
Computer Science, Information Systems
Saleh I. Alzahrani, Mashael M. Alsaleh
Summary: Smoothing filters are used in EEG data analysis to remove noise and preserve signal morphology. This study compared the effects of three smoothing filters on EEG data and found that regularization smoothing improved the correlation between target and nontarget responses, increased signal-to-noise ratio, and provided more discriminative information about motor imagery movements.
Article
Computer Science, Artificial Intelligence
Saleh Alzahrani, Charles W. Anderson
Summary: The study indicates that using tri-polar concentric ring electrodes (TCREs) to record movement-related potentials (MRPs) results in higher spatial resolution and accuracy compared to disc electrodes, reducing information overlap between neighboring locations. In experiments involving real and imaginary finger movements, TCREs outperformed disc electrodes in terms of recording quality.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Clinical Neurology
Zeanna Jadavji, Jack Zhang, Brett Paffrath, Ephrem Zewdie, Adam Kirton
Summary: This study investigated the ability of children with perinatal stroke to operate a simple BCI system. The results showed that they can achieve proficiency in basic tasks using BCI systems, with no significant difference compared to typically developing controls.
Article
Neurosciences
Soroush Mirjalili, Patrick Powell, Jonathan Strunk, Taylor James, Audrey Duarte
Summary: Previous studies have explored classifying single-trial neural responses using machine learning to provide real-time interventions for memory and cognitive states, finding that extracting multiple feature types is more effective than single type, and combination methods for feature selection are crucial for selecting effective features in classification processes.
Article
Chemistry, Analytical
Xavier Duart, Eduardo Quiles, Ferran Suay, Nayibe Chio, Emilio Garcia, Francisco Morant
Summary: The study compared white, red, and green flashing stimuli at three frequencies (5, 12, and 30 Hz) to find that the middle frequency generated the best SNR. White showed as good an SNR as red at 12 Hz, and green at 5 Hz. There was a correlation between attention and SNR at low frequency.
Article
Computer Science, Artificial Intelligence
Ebru Ergun, Onder Aydemir
Summary: One of the main goals of a brain computer interface (BCI) is to enable communication between the brain and electronic devices. This study focused on compensating the limitations of EEG-based BCI systems by adding simultaneous NIRS modality features. The results showed that combining EEG and NIRS can enhance BCI performance by 6.75% compared to using EEG alone.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2023)
Article
Neurosciences
Guangye Li, Shize Jiang, Jianjun Meng, Guohong Chai, Zehan Wu, Zhen Fan, Jie Hu, Xinjun Sheng, Dingguo Zhang, Liang Chen, Xiangyang Zhu
Summary: The study revealed that multiple brain regions show significant neural selectivity to the task, with sensorimotor areas carrying rich discriminative information for decoding and other regions gradually contributing less but still providing useful information for extracting movement parameters. Among different spectral components of SEEG activity, high gamma and delta bands offer the most informative features for hand movements reconstruction.
Review
Multidisciplinary Sciences
Yanan Sui, Huiling Yu, Chen Zhang, Yue Chen, Changqing Jiang, Luming Li
Summary: Deep brain-machine interfaces bridge machines and deep brain structures, offering promising treatments for neurological and psychiatric disorders. They differ from conventional brain-machine interfaces by enabling interactions with deep brain structures, sensing and modulating deep brain neural activities for function restoration and therapeutic improvements. This article provides an overview of deep brain recording and stimulation techniques serving as deep brain-machine interfaces, with a focus on deep brain stimulation and stereotactic electroencephalography, their technical trends, clinical applications, and potential for closed-loop systems in the treatment of neurological and psychiatric disorders.
NATIONAL SCIENCE REVIEW
(2022)
Article
Engineering, Biomedical
K. Martin-Chinea, J. F. Gomez-Gonzalez, L. Acosta
Summary: This paper presents a method to improve the performance of feature classification algorithms in a brain-computer interface (BCI) system by using a filtering method based on phase locking value (PLV). Experimental results show that this method significantly improves the accuracy of classification algorithms in both BCI competition dataset and real recorded data, and it performs similarly or better compared to other filtering algorithms.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Neurosciences
Yu Qi, Jiajun Chen, Yueming Wang
Summary: Brain-machine interfaces (BMI) still face challenges in accuracy and stability. Neuromorphic computing models offer a promising approach to overcome these challenges and develop high-performance neuroprosthetics.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Automation & Control Systems
Chin-Teng Lin, Tien-Thong Nguyen Do
Summary: BCIs allow users to communicate with external devices via brain signals. Wearable computers combine virtual/augmented/mixed reality experiences for entertainment, health monitoring, and research. Despite the potential of BCIs, adoption is slow due to the unnatural interaction and slower feedback compared to our brains.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Neurosciences
Neethu Robinson, Tushar Chouhan, Ernest Mihelj, Paulina Kratka, Frederic Debraine, Nicole Wenderoth, Cuntai Guan, Rea Lehner
Summary: BCI technology has the potential to assist tetraplegic end users in real-time applications, with studies indicating that closed-loop calibration paradigms can improve user acceptability and performance.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Engineering, Biomedical
Zhimin Shao, Weibei Dou, Di Ma, Xiaoxue Zhai, Quan Xu, Yu Pan
Summary: This study proposes a new method to more accurately estimate the influence of neuro-intervention on brain damage. By modeling left and right hemiplegia separately, the method shows a 5-15% improvement in accuracy compared to traditional methods, and reveals the common and unique recovery mechanisms after left and right strokes, assisting clinicians in formulating rehabilitation plans.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Food Science & Technology
Erik Van Der Burg, Alexander Toet, Anne-Marie Brouwer, Jan B. F. van Erp
Summary: The study found that there is a positive sequential dependence for odor intensity and familiarity ratings, but not for odor valence and arousal ratings. The olfactory system integrates previous stimuli into the current perception of intensity and familiarity.
CHEMOSENSORY PERCEPTION
(2022)
Article
Biophysics
Erik Van der Burg, Alexander Toet, Anne-Marie Brouwer, Jan B. F. Van Erp
Summary: Our emotional experience is not only determined by the current sensory information, but also influenced by the recently processed stimuli. Emotional stimuli in different modalities can affect each other's emotional experience in a sequential manner. Passive perception of stimuli can also induce emotional serial dependencies, suggesting a bottom-up process related to residual activation in the emotional network in the brain.
MULTISENSORY RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Martijn T. van Hattum, Gijs Huisman, Alexander Toet, Jan B. F. van Erp
Summary: Research on mediated communication via social touch has significantly increased in recent years. This study aimed to investigate the effects of mediated social touch on geographically separated romantic couples in a naturalistic setting over a longer period of time. The results showed that using haptic bracelets enhanced social connectedness among the couples but did not affect their longing for touch.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Computer Science, Cybernetics
Sara Falcone, Gwenn Englebienne, Jan Van Erp, Dirk Heylen
Summary: This paper presents a literature review and a toolbox to aid readers in finding the best method to design for and assess Sense of Embodiment (SoE) in various application scenarios. Using teleoperation applications as the main examples, the authors identify three components, namely sense of ownership, sense of agency, and sense of self-location, to describe SoE and relate them to commonly used assessment measures, test tasks, and application scenarios. The toolbox provides seven concrete steps for efficiently designing, testing, and assessing an embodiment experience, and includes examples and tables for user guidance.
HUMAN-COMPUTER INTERACTION
(2023)
Article
Food Science & Technology
Alexander Toet, Erik Van der Burg, Tim J. Van den Broek, Daisuke Kaneko, Anne-Marie Brouwer, Jan B. F. Van Erp
Summary: This study establishes a mapping between emotion terms, food images, and the valence-arousal space, linking the dimensional and categorical approaches. The results show reliable mappings between terms and images, with assigned valence and arousal values typically being less extreme through indirect mapping.
Article
Food Science & Technology
Ivo V. Stuldreher, Daisuke Kaneko, Haruka Hiraguchi, Jan B. F. van Erp, Anne-Marie Brouwer
Summary: Humans differ in their willingness to try new foods, and this hesitance is known as food neophobia. Understanding food neophobia is important as it can hinder the adoption of a healthy diet. The study used EEG recordings to investigate how food neophobia influences attention towards food stimuli. The results showed that food neophobia is associated with increased attentional processing and immediate implicit behavior towards all food stimuli, not just unfamiliar ones.
FOOD QUALITY AND PREFERENCE
(2023)
Article
Engineering, Industrial
Charelle Bottenheft, Eric L. Groen, Douwe Mol, Pierre J. L. Valk, Mark M. J. Houben, Boris R. M. Kingma, Jan B. F. van Erp
Summary: This study investigates the effects of heat load and hypobaric hypoxia on cognitive performance, specifically for helicopter pilots. The results show that heat load leads to a decline in cognitive performance, and hypobaric hypoxia exacerbates this decline further.
Article
Chemistry, Analytical
Ivo V. Stuldreher, Jan B. F. van Erp, Anne-Marie Brouwer
Summary: Individuals paying attention to narrative stimuli show synchronized heart rate and electrodermal activity responses, and the degree of synchrony is related to attentional engagement. Factors like instructions, stimulus salience, and individual characteristics influence physiological synchrony. The demonstrability of synchrony depends on the amount of data used in analysis. In this study, the amount of data was varied by group size and stimulus duration, and it was found that increasing data amount led to increased percentage of participants with significant synchrony.
Review
Chemistry, Analytical
Haruka Hiraguchi, Paola Perone, Alexander Toet, Guido Camps, Anne-Marie Brouwer
Summary: Obtaining objective knowledge about eating behavior is crucial for monitoring adherence to diets and evaluating nutritional interventions. Most research relies on self-reporting methods, which are prone to inaccuracies and biases. Nonobtrusive technology in daily life can provide a solution to this problem. This systematic overview summarizes the available technologies to automatically record eating behavior in real-life settings and suggests the need for further algorithm development and validation.
Article
Computer Science, Artificial Intelligence
A. -m. Brouwer, T. J. van den Broek, M. A. Hogervorst, D. Kaneko, A. Toet, V. Kallen, J. B. F. van Erp
Summary: We developed a model that can differentiate an extremely arousing, unpleasant drink from regular drinks based on various implicit behavioral and physiological responses during naturalistic tasting. The trained model is able to predict arousal ratings of regular drinks, suggesting the potential of estimating affective experience without relying on subjective ratings.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Review
Computer Science, Interdisciplinary Applications
Priya Sabu, Ivo V. Stuldreher, Daisuke Kaneko, Anne-Marie Brouwer
Summary: Frontal alpha asymmetry reflects differences in brain activity between the left and right hemispheres, with left hemisphere activity associated with approach motivation and right hemisphere activity associated with avoidance or withdrawal. The potency of stimuli plays a critical role in determining the effectiveness of alpha asymmetry research, with more engaging, salient, or personally relevant stimuli eliciting stronger approach-avoidance effects.
FRONTIERS IN COMPUTER SCIENCE
(2022)
Article
Psychology, Mathematical
Kenneth Holmqvist, Saga Lee Oerbom, Ignace T. C. Hooge, Diederick C. Niehorster, Robert G. Alexander, Richard Andersson, Jeroen S. Benjamins, Pieter Blignaut, Anne-Marie Brouwer, Lewis L. Chuang, Kirsten A. Dalrymple, Denis Drieghe, Matt J. Dunn, Ulrich Ettinger, Susann Fiedler, Tom Foulsham, Jos N. van der Geest, Dan Witzner Hansen, Samuel B. Hutton, Enkelejda Kasneci, Alan Kingstone, Paul C. Knox, Ellen M. Kok, Helena Lee, Joy Yeonjoo Lee, Jukka M. Leppanen, Stephen Macknik, Paivi Majaranta, Susana Martinez-Conde, Antje Nuthmann, Marcus Nystrom, Jacob L. Orquin, Jorge Otero-Millan, Soon Young Park, Stanislav Popelka, Frank Proudlock, Frank Renkewitz, Austin Roorda, Michael Schulte-Mecklenbeck, Bonita Sharif, Frederick Shic, Mark Shovman, Mervyn G. Thomas, Ward Venrooij, Raimondas Zemblys, Roy S. Hessels
Summary: This article reviews the impact of various aspects of eye-tracking studies, including the instrument used, methodology, environment, and participants, on the quality of recorded eye-tracking data and obtained eye-movement and gaze measures. It compares existing reporting guidelines with empirical research and published studies and reveals significant variations and inconsistencies. A minimal and flexible reporting guideline is derived based on empirical findings.
BEHAVIOR RESEARCH METHODS
(2022)
Article
Engineering, Aerospace
A. I. Krikunova, A. D. Cheshko, V. V. Krivets
Summary: Fire safety is crucial for the development of efficient and safe energy systems for space objects. This paper focuses on studying the influence of gravity on combustion processes and analyzes the dynamics of inverted conical methane-air flame under external acoustic excitation. The results show that at high excitation frequencies, the intensity of vortex generation is similar to that observed in experiments with normal gravity, indicating the dominance of acoustic mechanism. Additionally, at an external excitation frequency of 240 Hz, significant growth in shear vortex diameters and increased amplitude of perpendicular oscillations of flame branches were observed, indicating the most intensive large scale instability of flow.
Article
Engineering, Aerospace
Liya Huang, Mingquan Gong, Jiarui Zhang, Kun Liang, He Yang
Summary: Metallized gel propellants with exceptional stability and remarkable shear-thinning properties were successfully synthesized by utilizing cooperative hydrogen bonding between polymer octanoyl cellulose and the small Thixatrol ST molecule.
Article
Engineering, Aerospace
Clemence Poirier, Michelle Hermes, Marco Aliberti
Summary: This paper examines the role of space-based data in European climate policies and assesses the barriers to the use of space technology in climate policymaking in European countries. The research findings indicate that while satellite data is crucial for scientific research and climate policies, the role of space is not accurately reflected in European climate policies.
Article
Engineering, Aerospace
Yan-mei Zhou, Ji-ping Wu, Wei Huang, Gautam Choubey
Summary: This study investigates the combustion performance of sinusoidal pulsed jets in supersonic flows using numerical simulations. It is found that the pulsed jets can significantly improve combustion efficiency.
Article
Engineering, Aerospace
Wang Zhao, Shujun Tan, Yiliang Guo
Summary: This study proposes an adaptive Pogo active suppression controller design method that utilizes measured acceleration as feedback. The eigenspace transformation theory is employed to design dimensional reduced models for observer and adaptive controller, effectively addressing the issues of model parameter uncertainty and time-varying parameters. Simulation analysis of a certain type of rocket demonstrates the effectiveness of the proposed method.
Article
Engineering, Aerospace
A. V. Nebylov, V. A. Nebylov
Summary: This article discusses the safety issues of astronauts during the landing process and investigates how rescuers can effectively carry out rescue missions. The article also takes into account the special maritime conditions of the Vostochny cosmodrome.
Article
Engineering, Aerospace
Pietro Davide Maddio, Rosario Sinatra, Alberto Meschini, Riccardo Rigato, Marco Lapi, Davide Scarozza, Alessandro Cammarata
Summary: This study aims to develop a versatile cable net generation algorithm for designing offset cable nets in parabolic reflectors. The study proposes a methodology that leverages quasi-geodesic curves and introduces two types of these curves. The study also presents various solutions for different cable net layouts and introduces a quality index based on an equilateral triangle cable net.
Article
Engineering, Aerospace
Nahum Melamed, Tom Heinsheimer
Summary: Traditional methods of asteroid trajectory modification rely on impact or nuclear detonation, while centrifugal propulsion offers an alternative approach. The centrifuge system lands on the asteroid and gradually adjusts the trajectory using momentum transfer. This method allows for flexibility in operation parameters and has the potential to be used in planetary defense and other space missions.
Article
Engineering, Aerospace
Andrew Barth, Ou Ma
Summary: As humans continue to explore the surfaces of the Moon and Mars, the use of distributed heterogeneous robot teams can increase the chances of success by utilizing the complementary capabilities and synergy of the team members. Effective cooperation and collaboration between the members of a robot team is crucial, but defining a metric for effective cooperation is challenging. This paper presents a method for determining reward criteria that can be used for training robot swarm through reinforcement learning techniques. The trained robot team exhibits high success rates and cooperative behavior in test environments, demonstrating the robustness and scalability of the training strategies.
Article
Engineering, Aerospace
Kaijie Zhu, Qiquan Quan, Dewei Tang, Yachao Dong, Kaiyi Wang, Bo Tang, Qi Wu, Zongquan Deng
Summary: This study proposes a deployable Mars quadcopter for air patrol and sampling missions. By describing its structure, avionics architecture, and autonomous flight control method, it provides a feasible framework for future Mars flight sampling missions.
Article
Engineering, Aerospace
Avishai Melamed, Adi Rao, Sarah Kreps, Erika Palmer
Article
Engineering, Aerospace
Colin Hunter, Avinkrishnan Vijayachandran, Anthony M. Waas
Summary: Deployable structures inspired by origami have gained significant prominence in space applications. Recent advancements in multi-material additive manufacturing have opened new possibilities for the fabrication of monolithic structures. This paper presents a novel framework for designing deployable structures using viscoelastic hinges incorporated into rigid plates. Experimental results demonstrate the effectiveness and feasibility of these hinge designs in real-world applications.
Article
Engineering, Aerospace
Aleksander V. Efremov, Mikhail S. Tiaglik, Aleksey S. Tiaglik, Iliyas Kh Irgaleev, Tatyana V. Voronka
Summary: Theoretical and experimental studies were conducted to determine the best kind of information presented on a predictive display for the highest accuracy in space mission execution, while considering reduced propellant consumption.
Article
Engineering, Aerospace
Fuwen Liang, Long Miao, Feng Tian, Jiahui Song, Ningfei Wang, Xiao Hou
Summary: This study investigates the influence of deployment friction on the dynamic characteristics of nonconductive space tether through experimental measurement and numerical simulation. The results show that deployment friction significantly limits the uncontrolled tether deployment, while increasing the initial deployment velocity and satellite effective mass, as well as decreasing orbital altitude, can enhance the deployment capability and dynamic stability. In addition, an optimal matching relationship between tether length and satellite total mass is proposed, which is of substantial importance for the design of nonconductive space tether systems.
Article
Engineering, Aerospace
Amirah R. Algethami, Colin R. McInnes, Matteo Ceriotti
Summary: This paper utilizes the Hill's approximation model to manipulate the relative motion of two asteroids by three impulses, resulting in their bound binary motion in Earth's orbit. The feasibility of this strategy is demonstrated, and potential applications for parking small captured near-Earth asteroids in Earth's orbit are discussed.
