A Comparison of Vertical Jump Performance between Mesomorphic and Ectomorphic Dominant Somatotypes

Authors: Ankur Jyoti Phukon, Krishnendu Dhar

Source: International Journal of Kinanthropometry. 4:1-8

Subject Terms: Cognitive Neuroscience, Biomedical Engineering, Social Sciences, FOS: Medical engineering, Quantum mechanics, 03 medical and health sciences, Engineering, 0302 clinical medicine, Developmental and Educational Psychology, FOS: Mathematics, Psychology, 10. No inequality, 2. Zero hunger, Jump, Geography, Anthropometry, Somatotypes, Physics, 4. Education, Life Sciences, Developmental Perspective on Motor Skill Competence, 16. Peace & justice, FOS: Psychology, Musculoskeletal Modeling, Computational Principles of Motor Control and Learning, Archaeology, Analysis of Electromyography Signal Processing, Physical Sciences, Mathematics, Neuroscience

Effect of self-movement on visually directed throwing: Implications for distance perception

Authors: J. Barraza, Javier Santillán, J Ruffino

Source: Visual Cognition. 32:290-299

Subject Terms: Artificial intelligence, Cognitive Neuroscience, Social Sciences, FOS: Mechanical engineering, Visually directed throwing, Systems engineering, Task (project management), Engineering, Coaching Effectiveness, Cognitive psychology, Development of Expert Performance in Sports Psychology, Health Sciences, Multisensory integration, Developmental and Educational Psychology, Psychology, Orthopedics and Sports Medicine, Throwing, Self-movement, Treadmill, Visual perception, Communication, Life Sciences, Proprioception, 16. Peace & justice, Computer science, Mechanical engineering, FOS: Psychology, Computational Principles of Motor Control and Learning, Physical medicine and rehabilitation, Medicine, Sports Science and Performance Analysis, Perception, Computer vision, Distance preception, Physical therapy, Simulation, Neuroscience

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Access URL: http://hdl.handle.net/11336/248829

Effect of Different Jab Techniques on Peak Activation of Upper-Body Muscles in Youth Boxers

Authors: S. Sendil Kumar, Rodrigo Ramírez‐Campillo, Joseph Singh, Sanjeev Kumar, Hemantajit Gogoi

Source: Physical Education Theory and Methodology, Vol 22, Iss 4, Pp 583-588 (2022)

Subject Terms: electromyography, Cognitive Neuroscience, Biomedical Engineering, Deltoid curve, Surface EMG, FOS: Medical engineering, 03 medical and health sciences, Engineering, 0302 clinical medicine, youth sports, Health Sciences, 2. Zero hunger, Electromyography, Physical strength, boxing, Life Sciences, Upper body, musculoskeletal and neural physiological phenomena, Computational Principles of Motor Control and Learning, human physical conditioning, Physical medicine and rehabilitation, Analysis of Electromyography Signal Processing, Shoulder Pathology and Treatment Outcomes, GV557-1198.995, Physical Sciences, Medicine, Biceps, Surgery, muscles, Anatomy, Sports, Neuroscience

Access URL: https://doaj.org/article/eeadc0704055426992dfae390ac9595d

A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm

Authors: Verônica de Lima Gonçalves, Caio Tonus Ribeiro, Guilherme Cavalheiro, Maria José Ferreira Zaruz, Daniel Hilário da Silva, Selma Terezinha Milagre, Adriano de Oliveira Andrade, Adriano Alves Pereira

Source: Biomed Eng
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-27 (2023)

Subject Terms: Aging, Artificial intelligence, Health Professions, FOS: Mechanical engineering, Pattern recognition (psychology), Bayesian multivariate linear regression, Engineering, Cognition, Sociology, Pathology, Psychology, Linear regression, Statistics, Discriminant Analysis, Life Sciences, Mechanical engineering, Correlation, FOS: Sociology, FOS: Psychology, Algorithm, Forearm, Analysis of Electromyography Signal Processing, Physical Sciences, Medicine, Algorithms, Linear discriminant analysis, LDA, Cognitive Neuroscience, Linear model, Biomedical Engineering, Geometry, Physical Therapy, Sports Therapy and Rehabilitation, Inertial sensors, FOS: Medical engineering, Health Sciences, Medical technology, FOS: Mathematics, Humans, R855-855.5, Aged, Demography, Sensory Feedback, Gait Analysis and Fall Prevention in Elderly, Research, General linear model, Sensorimotor Learning, Computer science, Musculoskeletal Modeling, Linear motor, Computational Principles of Motor Control and Learning, Physical medicine and rehabilitation, Linear Models, Age groups, Mathematics, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/37845723
https://doaj.org/article/778c6821bf2a44928a88a12970bb9d18

Throwing is affected by self-movement

Authors: J. Barraza, Javier Santillán, J Ruffino

Subject Terms: Neural Mechanisms of Visual Perception and Processing, Cognitive Neuroscience, Social Sciences, FOS: Mechanical engineering, 7. Clean energy, Systems engineering, Task (project management), Engineering, Coaching Effectiveness, Cognitive psychology, Development of Expert Performance in Sports Psychology, Developmental and Educational Psychology, Psychology, Sport Psychology, Throwing, Treadmill, Communication, Life Sciences, Proprioception, 16. Peace & justice, Computer science, Mechanical engineering, FOS: Psychology, Computational Principles of Motor Control and Learning, Physical medicine and rehabilitation, Visual Perception, Medicine, Perception, Computer vision, Perceptual Learning, Physical therapy, Simulation, Neuroscience

Directional Dependence of Experimental Trunk Stiffness: Role of Muscle-Stiffness Variation of Nonneural Origin

Authors: Sadok Mehrez, Hichem Smaoui

Source: Appl Bionics Biomech
Applied Bionics and Biomechanics, Vol 2020 (2020)

Subject Terms: Muscle stiffness, QH301-705.5, Cognitive Neuroscience, 0206 medical engineering, Biomedical Engineering, Cardiology, Health Professions, Structural engineering, Physical Therapy, Sports Therapy and Rehabilitation, 02 engineering and technology, FOS: Medical engineering, Mechanics, Stiffness, Preload, 03 medical and health sciences, Engineering, 0302 clinical medicine, Health Sciences, FOS: Mathematics, Biology (General), Sagittal plane, Biology, Ecology, Gait Analysis and Fall Prevention in Elderly, Physics, Hemodynamics, Life Sciences, Trunk, Computational Principles of Motor Control and Learning, Analysis of Electromyography Signal Processing, FOS: Biological sciences, Physical Sciences, Medicine, Anatomy, TP248.13-248.65, Postural Stability, Mathematics, Biotechnology, Research Article, Neuroscience

File Description: text/xhtml

Access URL: https://downloads.hindawi.com/journals/abb/2020/8837147.pdf
https://pubmed.ncbi.nlm.nih.gov/33488765
https://doaj.org/article/c0a203b2e96d4e44b3bfa83b36b9893d
https://europepmc.org/article/MED/33488765
https://downloads.hindawi.com/journals/abb/2020/8837147.pdf
https://www.hindawi.com/journals/abb/2020/8837147/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787782
http://downloads.hindawi.com/journals/abb/2020/8837147.pdf

Nonlinear robust compensator design for postural control of a biomechanical model with delayed feedback

Authors: Nadia Sultan, Muhammad N. Islam, Asif Mahmood Mughal

Source: Measurement + Control, Vol 53 (2020)

Subject Terms: 0301 basic medicine, Artificial intelligence, Kinematics, Inertia, Health Professions, Systems engineering, Task (project management), Engineering, Balance Control, 0302 clinical medicine, Psychology, Classical mechanics, Physics, Life Sciences, 3. Good health, FOS: Psychology, Feedback Control, Analysis of Electromyography Signal Processing, TJ212-225, Physical Sciences, Telecommunications, Thermodynamics, Postural Stability, Simulation, Cognitive Neuroscience, Biomedical Engineering, Neurophysiology, Physical Therapy, Sports Therapy and Rehabilitation, Control (management), FOS: Medical engineering, Quantum mechanics, 03 medical and health sciences, Health Sciences, Control theory (sociology), T1-995, Feedback linearization, Technology (General), Sensory Feedback, Control engineering systems. Automatic machinery (General), Gait Analysis and Fall Prevention in Elderly, Inverse dynamics, Proprioception, Computer science, Musculoskeletal Modeling, Computational Principles of Motor Control and Learning, Torque, Nonlinear system, Sensory system, Overshoot (microwave communication), Neuroscience

Access URL: https://journals.sagepub.com/doi/pdf/10.1177/0020294019900285
https://doaj.org/article/58e935b1fdfd4864a0d4860a5ffa26bd
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002243583152066
https://journals.sagepub.com/doi/full/10.1177/0020294019900285
https://journals.sagepub.com/doi/pdf/10.1177/0020294019900285

Muscle fatigue analysis during dynamic contractions based on biomechanical features and Permutation Entropy

Authors: J. Murillo-Escobar, Yomin Jaramillo-Munera, D. A. Orrego-Metaute, Edilson Delgado‐Trejos, David Cuesta–Frau

Contributors: Departamento de Informática de Sistemas y Computadores, Escuela Politécnica Superior de Alcoy, Repositorio Institucional de la Universitat Politècnica de València Riunet

Source: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Universitat Politècnica de València (UPV)
instname
Mathematical Biosciences and Engineering, Vol 17, Iss 3, Pp 2592-2615 (2020)

Subject Terms: Artificial intelligence, Entropy, 02 engineering and technology, Pattern recognition (psychology), Hierarchical clustering, Engineering, permutation entropy, 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Biomechanics, Orthopedics and Sports Medicine, Muscle Synergies, Life Sciences, Neuromuscular Fatigue, Analysis of Electromyography Signal Processing, Physical Sciences, Muscle Fatigue, Medicine, muscle fatigue, hierarchical clustering, Biotechnology, Linear discriminant analysis, Cognitive Neuroscience, 0206 medical engineering, Biomedical Engineering, Permutation Entropy, unsupervised learning, FOS: Medical engineering, Unsupervised learning, SEMG, biomechanics, Isometric exercise, Health Sciences, QA1-939, FOS: Mathematics, Muscle, Skeletal, Muscle fatigue, Electromyography, Muscle Adaptations, Computer science, ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, Musculoskeletal Modeling, semg, Computational Principles of Motor Control and Learning, Physical medicine and rehabilitation, Sports Science and Performance Analysis, Physical therapy, TP248.13-248.65, Mathematics, Neuroscience

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Access URL: https://pubmed.ncbi.nlm.nih.gov/32233556
https://riunet.upv.es/handle/10251/171414
https://doaj.org/article/00ce92f5e4614fffad4a10785d03277a
https://repositorio.itm.edu.co/handle/20.500.12622/3060
https://riunet.upv.es/handle/10251/171414
https://www.aimspress.com/article/doi/10.3934/mbe.2020142?viewType=HTML
https://www.ncbi.nlm.nih.gov/pubmed/32233556
https://pubmed.ncbi.nlm.nih.gov/32233556/
http://europepmc.org/article/MED/32233556

The spectral profile of cortical activation during a visuospatial mental rotation task and its correlation with working memory

Authors: Renata Figueiredo Anomal, Daniel Soares Brandão, Rafaela Faustino Lacerda de Souza, Sóstenes Silva de Oliveira, Silvia Beltrame Porto, Izabel Augusta Hazin Pires, Antonio Pereira

Source: Front Neurosci
Frontiers in Neuroscience, Vol 17 (2023)

Subject Terms: alpha rhythm, Economics, Cognitive Neuroscience, FOS: Mechanical engineering, Geometry, Neurosciences. Biological psychiatry. Neuropsychiatry, working memory, Spatial Ability for STEM Domains, Task (project management), Engineering, Cognition, Artificial Intelligence, Cognitive psychology, Fuzzy Cognitive Maps, FOS: Mathematics, Psychology, EEG, Working memory, Life Sciences, Mental rotation, Application of Fuzzy Cognitive Maps in Modeling, intelligence, Mental Rotation, Cognitive Maps, Correlation, Management, FOS: Psychology, Computational Principles of Motor Control and Learning, Spatial Ability, Automotive Engineering, Physical Sciences, Computer Science, Mathematics, mental rotation, RC321-571, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/37008234
https://doaj.org/article/9c01603802cb4d5dbb29882d92d988a4

Effects of guided exploration on reaching measures of auditory peripersonal space

Authors: Mercedes X. Hüg, Fernando Bermejo, Fabián C. Tommasini, Ezequiel A. Di Paolo

Source: Front Psychol
Frontiers in Psychology, Vol 13 (2022)

Subject Terms: Artificial intelligence, Social Psychology, Action (physics), Cognitive Neuroscience, Social Sciences, Control (management), Space (punctuation), Quantum mechanics, Embodied Cognition and Social Interaction, Cognitive psychology, Psychology, 0501 psychology and cognitive sciences, tactile training, Implicit Learning, Communication, Physics, 05 social sciences, Life Sciences, Audiology, Auditory Localization, passive movements, Proprioception, 16. Peace & justice, Computer science, reaching, Tactile Perception and Cross-modal Plasticity, BF1-990, FOS: Psychology, Operating system, Computational Principles of Motor Control and Learning, self-generated movements, Tactile Perception, Medicine, Perception, auditory distance perception, Auditory feedback, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/36337523
https://doaj.org/article/16d60f40604c4abfb3bea080d7b9cdea

Affordance-based control of braking in cycling: Experience reveals differences in the style of control: Experience reveals differences in the style of control

Authors: Gisele Chiozi Gotardi, John van der Kamp, Martina Navarro, Geert J.P. Savelsbergh, Sérgio Tosi Rodrigues

Source: Human Movement Science. 95:103225

Subject Terms: Male, Adult, Artificial intelligence, History, Visually guided braking, Deceleration, Cognitive Neuroscience, Acceleration, FOS: Mechanical engineering, Control (management), Athletic Performance, Scaling, Young Adult, Engineering, Affordance-based, Style (visual arts), Cognitive psychology, Health Sciences, Humans, Psychology, Orthopedics and Sports Medicine, Styles of control, Accidents, Traffic, Life Sciences, Active Steering, Cycling, 16. Peace & justice, Computer science, Bicycling, Biomechanical Phenomena, Tire-Road Friction Estimation, Affordance, FOS: Psychology, Computational Principles of Motor Control and Learning, Feedback Control, Archaeology, Literature, Advanced Vehicle Dynamics Control Systems, Automotive Engineering, Physical Sciences, Medicine, Female, Sports Science and Performance Analysis, Psychomotor Performance, Art, Neuroscience, Motor Control

Access URL: https://pubmed.ncbi.nlm.nih.gov/38705032
https://research.vu.nl/en/publications/7b401afe-3597-4055-bdac-4e1ad9262150
https://doi.org/10.1016/j.humov.2024.103225
https://hdl.handle.net/1871.1/7b401afe-3597-4055-bdac-4e1ad9262150

Bioinspired Implementation and Assessment of a Remote-Controlled Robot

Authors: Rybarczyk, Yves, Carvalho, D. G., Cordella, F.

Source: Appl Bionics Biomech
Applied Bionics and Biomechanics, Vol 2019 (2019)

Subject Terms: Computer and Information Sciences, Artificial intelligence, Kinematics, Social Psychology, QH301-705.5, Robot, Cognitive Neuroscience, Social Sciences, Control (management), Epistemology, Quantum mechanics, Embodied Cognition and Social Interaction, 03 medical and health sciences, Engineering, 0302 clinical medicine, Psychology, 0501 psychology and cognitive sciences, Classical mechanics, Biology (General), Naturalness, Robotic Grasping and Learning from Demonstration, Software engineering, Human–computer interaction, Control engineering, Physics, 05 social sciences, Life Sciences, Data- och informationsvetenskap, Safe Human-Robot Interaction, Power (physics), 16. Peace & justice, Computer science, 6. Clean water, FOS: Philosophy, ethics and religion, FOS: Psychology, Human-Robot Collaboration, Operability, Philosophy, Computational Principles of Motor Control and Learning, Control and Systems Engineering, Physical Sciences, Quality (philosophy), TP248.13-248.65, Simulation, Biotechnology, Research Article, Neuroscience

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Access URL: https://downloads.hindawi.com/journals/abb/2019/8575607.pdf
https://pubmed.ncbi.nlm.nih.gov/31611928
https://doaj.org/article/9c1f6e34685242a88801b705bd54727c
http://downloads.hindawi.com/journals/abb/2019/8575607.pdf
https://www.hindawi.com/journals/abb/2019/8575607/
http://www.diva-portal.org/smash/record.jsf?pid=diva2:1361333
https://downloads.hindawi.com/journals/abb/2019/8575607.pdf
https://pubmed.ncbi.nlm.nih.gov/31611928/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755284
http://urn.kb.se/resolve?urn=urn:nbn:se:du-30959

Analysis of Anthropometrics and Mechanomyography Signals as Forearm Flexion, Pronation and Supination Torque Predictors

Authors: Irsa Talib, Kenneth Sundaraj, Jawad Hussain, Chee Kiang Lam, Zeshan Ahmad

Source: Sci Rep
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)

Subject Terms: Male, Science, Cognitive Neuroscience, Biomedical Engineering, Orthodontics, FOS: Medical engineering, Supination, Article, Isometric exercise, 03 medical and health sciences, Engineering, 0302 clinical medicine, Isometric Contraction, Health Sciences, Elbow, Humans, Pronation, Orthopedics and Sports Medicine, Muscle, Skeletal, Brachialis, Internal medicine, Muscle Synergies, Elbow flexion, Anthropometry, Electromyography, Life Sciences, Muscle Adaptations, Musculoskeletal Modeling, Forearm, Computational Principles of Motor Control and Learning, Brachioradialis, Torque, Physical medicine and rehabilitation, Analysis of Electromyography Signal Processing, Physical Sciences, Medicine, Biceps, Sports Science and Performance Analysis, Training Load, Anatomy, Physical therapy, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/36168025
https://doaj.org/article/a9076ec8193541a2b1de456a6d791769

Competition between parallel sensorimotor learning systems

Authors: Scott T. Albert, Jihoon Jang, Shanaathanan Modchalingam, Marius 't Hart, Denise Y. P. Henriques, Gonzalo Lerner, Valeria Della‐Maggiore, Adrian M. Haith, John W. Krakauer, Reza Shadmehr

Source: eLife
eLife, Vol 11 (2022)

Subject Terms: Artificial intelligence, Alternative medicine, Implicit learning, QH301-705.5, Neural Mechanisms of Visual Perception and Processing, Science, Acclimatization, Cognitive Neuroscience, Sensory Integration, Resource (disambiguation), interference, Subconscious, Sensory Processing, Cognition, Cognitive psychology, Machine learning, Pathology, Humans, Psychology, Biology (General), Implicit Learning, Neuronal Oscillations in Cortical Networks, Computer network, learning, Adaptation (eye), savings, Sensorimotor Learning, Life Sciences, explicit/implicit, explicit learning, Computer science, motor, Process (computing), FOS: Psychology, Operating system, Knowledge, Computational Principles of Motor Control and Learning, Medicine, Sensory system, Perceptual Learning, competition, motor learning, implicit learning, Neuroscience

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Access URL: https://elifesciences.org/download/aHR0cHM6Ly9jZG4uZWxpZmVzY2llbmNlcy5vcmcvYXJ0aWNsZXMvNjUzNjEvZWxpZmUtNjUzNjEtdjEucGRmP2Nhbm9uaWNhbFVyaT1odHRwczovL2VsaWZlc2NpZW5jZXMub3JnL2FydGljbGVzLzY1MzYx/elife-65361-v1.pdf?_hash=w90DUxMFy4%2FyFi77VIQORx%2B2svYckDUDohwOXSSP7do%3D
https://pubmed.ncbi.nlm.nih.gov/35225229
https://doaj.org/article/4f57ac052fbd4389b7741bed6b0647ce
http://hdl.handle.net/11336/267539

Body, wrist, and hand anthropometric measurements as risk factors for carpal tunnel syndrome

Authors: Mohamed Imam, Marwa M. Hasan, Rehab Elnemr, Riham H. El-Sayed

Source: Egyptian Rheumatology and Rehabilitation, Vol 46, Iss 1, Pp 35-41 (2019)

Subject Terms: Radiology, Nuclear Medicine and Imaging, Wrist Arthroscopy, Cognitive Neuroscience, carpal tunnel syndrome, Geometry, Orthodontics, Diseases of the musculoskeletal system, Treatment and Outcomes of Hand Injuries, Circumference, 03 medical and health sciences, Waist, 0302 clinical medicine, Health Sciences, FOS: Mathematics, risk factors, Diagnosis and Management of Carpal Tunnel Syndrome, Internal medicine, Carpal tunnel syndrome, Body mass index, Anthropometry, Confidence interval, Life Sciences, Wrist, 3. Good health, Computational Principles of Motor Control and Learning, RC925-935, Medicine, Surgery, anthropometric measurements, Physical therapy, Mathematics, Neuroscience

Access URL: https://doaj.org/article/938814c625164a1890e87f8980b70785
https://www.err.eg.net/article.asp?issn=1110-161X;year=2019;volume=46;issue=1;spage=35;epage=41;aulast=Imam
http://www.err.eg.net/article.asp?issn=1110-161X;year=2019;volume=46;issue=1;spage=35;epage=41;aulast=Imam
https://link.springer.com/article/10.4103/err.err_21_18
https://erar.springeropen.com/articles/10.4103/err.err_21_18
https://link.springer.com/content/pdf/10.4103/err.err_21_18.pdf

Toward sensitive and specific electrodiagnostic techniques in early carpal tunnel syndrome

Authors: Sara E. Hegab, Eman Abdelrazek Hafez, Seif Elden Farag, Mohamed K. Senna

Source: Egyptian Rheumatology and Rehabilitation, Vol 45, Iss 2, Pp 57-64 (2018)

Subject Terms: diagnosis of idiopathic carpal tunnel syndrome, Radiology, Nuclear Medicine and Imaging, Digital subscriber line, Cognitive Neuroscience, Cutoff, Predictive value, Median nerve, Diseases of the musculoskeletal system, Latency (audio), Treatment and Outcomes of Hand Injuries, Quantum mechanics, 03 medical and health sciences, Engineering, 0302 clinical medicine, Health Sciences, Diagnosis and Management of Carpal Tunnel Syndrome, Internal medicine, Carpal tunnel syndrome, Gold standard (test), electrodiagnosis of median nerve, Physics, Life Sciences, Audiology, idiopathic carpal tunnel syndrome, Computer science, Computational Principles of Motor Control and Learning, RC925-935, Thumb, Physical medicine and rehabilitation, Electrical engineering, Telecommunications, Medicine, Surgery, Electrodiagnostic Studies, Physical therapy, Neuroscience

Access URL: https://doaj.org/article/a4a0b2ee52f84035bd696f4d69aa3602
https://www.err.eg.net/article.asp?issn=1110-161X;year=2018;volume=45;issue=2;spage=57;epage=64;aulast=Hegab
http://www.err.eg.net/article.asp?issn=1110-161X;year=2018;volume=45;issue=2;spage=57;epage=64;aulast=Hegab
https://erar.springeropen.com/articles/10.4103/err.err_41_17
https://link.springer.com/article/10.4103/err.err_41_17
https://core.ac.uk/display/153594585
https://link.springer.com/content/pdf/10.4103/err.err_41_17.pdf

Cortico-spinal modularity in the parieto-frontal system: A new perspective on action control

Authors: Rory Bufacchi, Alexandra Battaglia‐Mayer, Gian Domenico Iannetti, Roberto Caminiti

Source: Progress in Neurobiology. 231:102537

Subject Terms: Artificial intelligence, Social Psychology, Premotor cortex, Action (physics), Cognitive Neuroscience, Perspective (graphical), Social Sciences, Neurophysiology, Quantum mechanics, Embodied Cognition and Social Interaction, Cognition, Motor control, Parietal Lobe, Genetics, Humans, Psychology, Biology, Modular design, Physics, Cortical Control, action control, cortical lesions, cortico-cortical connections, cortico-spinal connections, cortico-spinal modules, parieto-frontal system, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Hand, Computer science, FOS: Psychology, Operating system, Computational Principles of Motor Control and Learning, FOS: Biological sciences, Anatomy, Modularity (biology), Neuroscience, Motor Control, Dorsum

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Access URL: https://pubmed.ncbi.nlm.nih.gov/37832714
https://hdl.handle.net/11573/1691698
https://doi.org/10.1016/j.pneurobio.2023.102537

Continuous Multi-DoF Wrist Kinematics Estimation Based on a Human–Machine Interface With Electrical-Impedance-Tomography

Authors: Hong Qiao, Qining Wang, Enhao Zheng, Jingzhi Zhang

Source: Front Neurorobot
Frontiers in Neurorobotics, Vol 15 (2021)

Subject Terms: Parallel computing, Interface (matter), Artificial intelligence, Kinematics, Cognitive Neuroscience, Biomedical Engineering, Neurosciences. Biological psychiatry. Neuropsychiatry, 02 engineering and technology, FOS: Medical engineering, multi-DoF, 03 medical and health sciences, Engineering, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Classical mechanics, Lower Limb Exoskeleton Robotics, Bubble, human-machine interface, Electromyography, Physics, wrist angle estimation, Life Sciences, Computer science, Computational Principles of Motor Control and Learning, Electrical impedance, electrical-impedance-tomography, Analysis of Electromyography Signal Processing, Electrical impedance tomography, Electrical engineering, Physical Sciences, Computer vision, Lasso, Maximum bubble pressure method, RC321-571, Neuroscience

Access URL: https://www.frontiersin.org/articles/10.3389/fnbot.2021.734525/pdf
https://pubmed.ncbi.nlm.nih.gov/34658831
https://doaj.org/article/9c1930b7b6854a4c88c2434081adbfaf
https://dblp.uni-trier.de/db/journals/finr/finr15.html#ZhengZWQ21
https://www.frontiersin.org/articles/10.3389/fnbot.2021.734525/full

Proprioception in Action: A Matter of Ecological and Social Interaction

Authors: Ximena González-Grandón, Andrea Falcón-Cortés, Gabriel Ramos-Fernández

Source: Front Psychol
Frontiers in Psychology, Vol 11 (2021)

Subject Terms: Conceptualization, Cognitive science, Artificial intelligence, Social Psychology, Action (physics), Developmental psychology, Cognitive Neuroscience, Intention Understanding, perception-action-coupling, Social Sciences, social cognition, Quantum mechanics, ecological self, Embodied Cognition and Social Interaction, 03 medical and health sciences, 0302 clinical medicine, Cognitive psychology, Predictive Brain Theory and Embodied Cognition, Psychology, 0501 psychology and cognitive sciences, Kinesthetic learning, Communication, Physics, 05 social sciences, Life Sciences, agent-based models, Proprioception, 16. Peace & justice, Computer science, BF1-990, Embodied cognition, 3. Good health, FOS: Psychology, Computational Principles of Motor Control and Learning, enactive cognition, Perception, sensorimotor theory, Neuroscience

Access URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.569403/pdf
https://pubmed.ncbi.nlm.nih.gov/33519581
https://doaj.org/article/8fadc631d126410181e70e5f5b18b834
https://sistemadeinvestigacion.ibero.mx/es/publications/proprioception-in-action-a-matter-of-ecological-and-social-intera-2
https://doaj.org/article/8fadc631d126410181e70e5f5b18b834
https://philpapers.org/rec/GONPIA-2
https://www.frontiersin.org/articles/10.3389/fpsyg.2020.569403/full
https://europepmc.org/article/MED/33519581

Spatio-temporal modulation of cortical activity during motor deadaptation depends on the feedback of task-related error

Authors: Christian Ariel Mista, Federico Arguissain, Alessandro Ranieri, Jørgen Feldbæk Nielsen, Henning Andersen, José Biurrun Manresa, Ole Kæseler Andersen

Source: Mista, C A, Arguissain, F G, Ranieri, A, Nielsen, J F, Andersen, H, Manresa, J A B & Andersen, O K 2024, 'Spatio-temporal modulation of cortical activity during motor deadaptation depends on the feedback of task-related error', Behavioural Brain Research, vol. 468, 115024. https://doi.org/10.1016/j.bbr.2024.115024
Mista, C A, Arguissain, F G, Ranieri, A, Nielsen, J F, Andersen, H, Biurrun Manresa, J A & Andersen, O K 2024, 'Spatio-temporal modulation of cortical activity during motor deadaptation depends on the feedback of task-related error', Behavioural Brain Research, vol. 468, 115024. https://doi.org/10.1016/j.bbr.2024.115024

Subject Terms: Male, Adult, Artificial intelligence, Motor learning, Economics, Movement, Cognitive Neuroscience, visuomotor rotation, Motor Activity, 7. Clean energy, deadaptation, Young Adult, Task (project management), Feedback, Sensory, Humans, Psychology, Event related potential, Cerebral Cortex, Adaptation (eye), Cortical Control, Visuomotor Integration, Sensorimotor Learning, Life Sciences, Neural Mechanisms of Cognitive Control and Decision Making, Electroencephalography, Deadaptation, Audiology, Visuomotor rotation, Brain-Computer Interfaces in Neuroscience and Medicine, Hand, 16. Peace & justice, Adaptation, Physiological, Visual feedback, Computer science, Management, FOS: Psychology, Computational Principles of Motor Control and Learning, Feedback Control, Medicine, Female, Sensory system, motor learning, Psychomotor Performance, Neuroscience

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https://vbn.aau.dk/da/publications/127b6af5-d17d-4c77-9388-fac04b58bfdf
https://doi.org/10.1016/j.bbr.2024.115024
https://vbn.aau.dk/ws/files/719513685/1-s2.0-S0166432824001803-main.pdf
http://www.scopus.com/inward/record.url?scp=85193004252&partnerID=8YFLogxK
https://pure.au.dk/portal/en/publications/82c659ce-6d09-4618-abc3-a32f26e16b2a
https://doi.org/10.1016/j.bbr.2024.115024