Review
Computer Science, Cybernetics
Rosa Lilia Segundo Diaz, Gustavo Rovelo Ruiz, Miriam Bouzouita, Karin Coninx
Summary: Designing serious games that engage lots of players is still a challenge. Researchers have investigated the relationship between enjoyment and game design elements, but these efforts remain dispersed across different areas. This paper provides a systematic literature review to understand the relationship between game design elements, player enjoyment, and evaluation tools. Additionally, successful case analyses highlight the impact of game design elements on player enjoyment.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2022)
Article
Multidisciplinary Sciences
Florence J. Mueller, Lucio Isa, Jan Vermant
Summary: In this study, an innovative approach to improve colloidal gels by introducing surface roughness to the particles is proposed, resulting in enhanced toughness and self-healing properties. The functionalized rough particle gels show potential for various applications, such as xerogel fabrication and high-fidelity extrusion 3D-printing.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
T. Lencioni, L. Fornia, T. Bowman, A. Marzegan, A. Caronni, A. Turolla, J. Jonsdottir, I. Carpinella, M. Ferrarin
Summary: The study found that robotic rehabilitation for post-stroke patients resulted in greater improvements in muscle synergies, especially in axial-to-proximal muscle synergies. However, both treatments had negative effects on muscle synergies controlling the distal district.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Alessandro Del Vecchio, Carina Marconi Germer, Thomas M. Kinfe, Stefano Nuccio, Francois Hug, Bjoern Eskofier, Dario Farina, Roger M. Enoka
Summary: The purpose of this study was to identify the low-dimensional latent components, called motor unit modes, underlying the discharge rates of motor units in knee extensors and hand muscles during submaximal isometric contractions. Factor analysis identified two independent motor unit modes that captured most of the covariance of the motor unit discharge rates. The distribution of motor unit modes was different between hand and knee muscles, with a continuous distribution found for the knee muscles.
JOURNAL OF NEUROSCIENCE
(2023)
Review
Neurosciences
Vincent C. K. Cheung, Kazuhiko Seki
Summary: Current research focuses on exploring the neural basis of muscle synergies within the central nervous system, investigating the organization of synergies and the stimulations of relevant cortical loci, but the involvement of motor cortex in organizing synergies remains uncertain. Progress may be facilitated by incorporating prior knowledge from neurophysiology into models and algorithms.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Review
Multidisciplinary Sciences
Kunkun Zhao, Zhisheng Zhang, Haiying Wen, Bin Liu, Jianqing Li, Andrea d'Avella, Alessandro Scano
Summary: Muscle synergies are a proposed strategy by the central nervous system to control movements. Although muscle synergy analysis has been widely used for examining the pathophysiology of neurological diseases, it has not been widely applied in clinical diagnosis and rehabilitative treatment. This literature review aims to summarize the methods and findings of previous works on upper limb muscle synergies in clinical environments, highlight the barriers limiting their clinical applications, and suggest future research directions for facilitating translation to clinical scenarios.
Review
Green & Sustainable Science & Technology
Shan Hu, Xin Zhou, Da Yan, Fei Guo, Tianzhen Hong, Yi Jiang
Summary: Building Energy Sufficiency (BES) is gaining attention as an important framework for reducing energy use and carbon emissions in buildings. However, there is a lack of research on the drivers, technologies, and policy instruments needed to achieve BES during the building operational phase. This study provides a systematic review of BES and suggests that it should address both occupant demand and energy requirements. The characteristics of occupant demand and technical options for building systems are discussed, along with policy implications and recommendations. Further research and policy implementation in both developed and developing countries are justified due to the multiple benefits and multidisciplinary nature of BES.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Review
Construction & Building Technology
Seddigheh Norouziasl, Amirhosein Jafari, Yimin Zhu
Summary: This study provides a systematic review of literature on modeling and simulating energy-related human-building interaction, analyzing 95 articles published in the last 15 years. The study offers a state-of-the-art framework for inputs and outputs used in modeling occupants' energy-use behavior and presents efficient techniques for future research in this area.
JOURNAL OF BUILDING ENGINEERING
(2021)
Review
Health Care Sciences & Services
Jagoda Rusowicz, Joanna Szczepanska-Gieracha, Pawel Kiper
Summary: Neurologic music therapy (NMT) is a non-pharmacological approach that uses music to interact with motor, sensory, and cognitive dysfunctions caused by damage or diseases of the nervous system. This study critically evaluated the literature on the application of specific NMT techniques in rehabilitating geriatric disorders, with a focus on the RAS technique for PD and SP patients, showing significant improvements in gait parameters and balance.
Article
Engineering, Biomedical
Nerea Irastorza-Landa, Eliana Garcia-Cossio, Andrea Sarasola-Sanz, Doris Broetz, Niels Birbaumer, Ander Ramos-Murguialday
Summary: This study proposed a novel method to measure the temporal correlation between recruitment profiles of healthy modules by paretic and healthy muscles following stroke, termed FSRI, which was shown to be a reliable physiological biomarker for motor function and recovery. Furthermore, BMI-based training with contingent positive proprioceptive feedback was found to improve FSRI values, enhancing effective rehabilitation in stroke patients.
JOURNAL OF NEURAL ENGINEERING
(2021)
Review
Pediatrics
Marco Iosa, Cristiano Maria Verrelli, Amalia Egle Gentile, Martino Ruggieri, Agata Polizzi
Summary: Gaming technologies show potential in pediatric neurorehabilitation, but current research is limited and more rigorous studies are needed to validate their effectiveness.
FRONTIERS IN PEDIATRICS
(2022)
Article
Emergency Medicine
Maxime D. Cuijpers, Martin G. A. Baartmans, Paul P. M. van Zuijlen, Johannes C. F. Ket, Anouk Pijpe
Summary: This systematic review summarizes the current evidence on post-burn growth, body composition, and motor development in children. The review found that growth and motor development in pediatric burn patients started to recover during the first or second year after the burn, but burns may have a profound and prolonged effect on their muscular strength, bone mineral content, and lean body mass. It should be noted that the majority of studies included patients with burns covering >= 30% total body surface area, so the evidence presented in this review may not be representative of the entire pediatric burn population.
Review
Psychology, Multidisciplinary
Amelia Oliva, Marco Iosa, Gabriella Antonucci, Daniela De Bartolo
Summary: Art is used in clinical contexts to improve mood, increase therapy participation, and improve communication for patients. However, there is a lack of standard protocols for art therapy interventions and quantitative studies based on neuroaesthetics principles.
FRONTIERS IN PSYCHOLOGY
(2023)
Review
Construction & Building Technology
Weiyu Ji, Lu Yang, Zhansheng Liu, Shuxin Feng
Summary: Human-building interaction is a rising field that explores the interactions and impacts between humans and building systems. Sensing technology is crucial for data collection in this discipline. This study evaluates 127 research articles and provides a systematic review of sensing technology implementation in various HBI research topics.
Article
Multidisciplinary Sciences
Jasmin A. Strickland, Michael A. McDannald
Summary: When faced with potential threat, the brain estimates its probability, responds accordingly, and updates future estimates based on experience. This study used Neuropixels probes to record single-unit activity in different brainstem regions of rats and found that a dorsal hub in the brainstem network signaled threat probability. During the outcome period, neuronal function remapping occurred, leading to brainstem networks that signaled prediction error and shock on multiple timescales.
NATURE COMMUNICATIONS
(2022)
Review
Clinical Neurology
Marc W. Slutzky
Review
Neurosciences
Silvestro Micera, Matteo Caleo, Carmelo Chisari, Friedhelm C. Hummel, Alessandra Pedrocchi
Article
Chemistry, Analytical
Jingjing Luo, Junjie Zhen, Peng Zhou, Wei Chen, Yuzhu Guo
Summary: This study developed a video-based facial iPPG detecting equipment that provides multi-dimensional spatiotemporal hemodynamic pulsations for high portability and self-monitoring needs. A series of algorithms were also created for physiological indices extraction and visualization of hemodynamic pulsation distribution. The new device offers a reliable measurement of cardiovascular hemodynamics and, combined with advanced computing techniques, presents a promising solution for user-friendly pervasive healthcare.
Article
Neurosciences
Chenxi Chu, Jingjing Luo, Xiwei Tian, Xiangke Han, Shijie Guo
Summary: This study introduced a novel tactile-stimuli P300 paradigm for BCI targeting individuals with learning difficulties or attention deficits. The paradigm utilized a combination of spatial and frequency information to distinguish targets, achieving high classification accuracy.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Youhao Wang, Jingjing Luo, Yuzhu Guo, Qiang Du, Qiying Cheng, Hongbo Wang
Summary: The study demonstrated that for the neurofeedback group, ERP brain network parameters showed significant changes and trends, while for the non-feedback group, most network parameters did not change significantly. The short-term effects of MI-BCI training were not observed significantly in ERD analysis, but could be detected significantly by ERP-based network analysis.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
A. T. Abd, R. E. Singh, K. Iqbal, G. White
Summary: This study investigated muscle synergies during upper limb cycling motion across different power levels and found that the number and structure of synergies remained consistent while their activation coefficients were modulated. Three shared muscle synergies representing push and pull mechanisms during cyclic motion were identified.
JOURNAL OF MOTOR BEHAVIOR
(2022)
Review
Energy & Fuels
Sarah Ansari, Jing Zhang, Rajat Emanuel Singh
Summary: This paper reviews the instability caused by constant power loads (CPLs) in DC microgrids (DCMGs) and discusses the importance of stabilization techniques and CPLs parameters. The review is important for guiding further research on the stability of DCMGs.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2022)
Review
Engineering, Biomedical
Jingjing Luo, Zhengrong Yan, Shijie Guo, Wei Chen
Summary: Atherosclerosis screening plays an important role in the transformation of the medical model from therapeutic medicine to preventive medicine. This study introduces five cutting-edge pervasive technologies for atherosclerosis screening, including iPPG, laser Doppler, RF, TI, optical fiber sensing, and piezoelectric sensor. These noninvasive and mobile technologies can detect physiological parameters related to atherosclerosis.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2022)
Article
Robotics
Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Haoyang Yu, Hao Lu, Yu Dong, Xiaoxu Jia
Summary: This letter presents a flexible tendon-driven continuum surgical manipulator called FLORA, which aims to solve the problems of low flexibility, poor internal extension, and chopstick effect in most laparoscopic surgical robots. The manipulator is composed of three independent flexible segments in series, driven by twelve tendons, and has good flexibility and rigidity. It also features a compact actuation unit and a kinematic modeling method based on piecewise constant curvature model, which can accurately model and fast decouple the manipulator.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Qiliang Chen, Yulin Huang, Xing Zhu, Hong Lu, Zhongzhi Ji, Jiacheng Yang, Jingjing Luo
Summary: In this paper, a regression model using 3D convolution neural networks (CNN) for locating radial artery upon radius at the wrist using near-infrared picture sequences is proposed. Compared to previous 2D models, the 3D CNN model achieved superior performance accuracy and highlighted dynamic changes within image sequences.
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Yunjie Li, Min Wei, Qiliang Chen, Xing Zhu, Hui Li, Hongbo Wang, Jingjing Luo
Summary: Camera-based image sequences can be used to measure blood pressure continuously and noncontactly using a deep-learning approach called Hybrid D1DCnet. The model can predict systolic and diastolic blood pressure by analyzing forehead imaging photoplethysmography (iPPG) waveforms and personal information. The research demonstrates the feasibility and advantages of using this model to monitor circulatory health and contribute to the prevention and intervention of cardiovascular diseases.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Jingjing Luo, Min Wei, Moyi Shi, Yunjie Li, Xing Zhu, Yang Zhou
Summary: This study proposes a novel cardiovascular health state detection procedure based on camera-based iPPG monitoring. The method achieves high accuracy in predicting whether subjects are CVDs relevant patients. The study emphasizes the advantages of using noncontact and high-dimensional features for cardiovascular health assessment.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Rajat Emanuel Singh, Kamran Iqbal, Gannon White
ENGINEERING REPORTS
(2020)
Article
Computer Science, Artificial Intelligence
Rajat Emanuel Singh, Gannon White, Ioannis Delis, Kamran Iqbal
COGNITIVE COMPUTATION AND SYSTEMS
(2020)
Review
Neurosciences
Martina Maier, Belen Rubio Ballester, Paul F. M. J. Verschure
FRONTIERS IN SYSTEMS NEUROSCIENCE
(2019)
