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
Geriatrics & Gerontology
Giorgio Varesco, Cecile Coudy-Gandilhon, Thomas Lapole, Alice Decourt, Marine Gueugneau, Jean-Claude Barthelemy, Frederic Roche, Daniel Bechet, Leonard Feasson, Vianney Rozand
Summary: The study found that physical activity level was positively associated with the capacity of very old women to perform a fatiguing test, while the physical activity of very old men was not correlated with muscle performance. Increasing steps per day count could provide a sufficient stimulus for adaptations in less active very old women.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2022)
Article
Engineering, Biomedical
Jinbiao Liu, Gansheng Tan, Yixuan Sheng, Yina Wei, Honghai Liu
Summary: This study developed a novel delay estimation method, RVC, to detect time delay between coupled neurophysiological signals. The results showed that RVC method was superior in estimating different time delays and had better optimization effect on MSC image compared to the CMCTL method. The RVC-based delay compensation also significantly optimized the MSC of specific regions.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Jingyao Sun, Tianyu Jia, Zhibin Li, Chong Li, Linhong Ji
Summary: In this study, the concept of spatial-temporal CMC (STCMC) is proposed to improve the accuracy of corticomuscular coupling analysis. By combining delay compensation and spatial optimization, STCMC enhances the coherence significantly between brain and muscle signals and produces higher classification accuracy. Furthermore, STCMC provides more detailed brain topographical patterns, emphasizing the different roles between the contralateral and ipsilateral hemisphere.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Neurosciences
Xugang Xi, Shaojun Pi, Yun-Bo Zhao, Huijiao Wang, Zhizeng Luo
Summary: This study reveals the interaction between the cortex and muscle during muscle fatigue through EEG and EMG signals, establishing an effective cortical-muscle network using graph theory and symbolic transfer entropy. Results show a series of dynamic changes in the cortical-muscle system during muscle fatigue.
Article
Materials Science, Multidisciplinary
Shanshan Yao, Weixin Zhou, Robert Hinson, Penghao Dong, Shuang Wu, Jasmine Ives, Xiaogang Hu, He Huang, Yong Zhu
Summary: This article reports the fabrication and applications of ultrasoft breathable dry electrodes that can address several challenges for their long-term wearable applications. The proposed electrodes rely on porous and conductive silver nanowire-based nanocomposites, eliminating the necessity of conductive gel while establishing a low electrode-skin impedance. These electrodes allow for efficient monitoring of heart, muscle, and brain activities, and they have the potential for prosthesis control, neurorehabilitation, and virtual reality.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Review
Clinical Neurology
Jonathan J. Halford, David A. Clunie, Benjamin H. Brinkmann, Dagmar Krefting, Jan Remi, Felix Rosenow, Aatif Husain, Franz Furbass, J. Andrew Ehrenberg, Silvia Winkler
Summary: The urgent need for a standard format for neurophysiology data to improve clinical care and promote research data exchange is highlighted. The widely adopted DICOM standard in medical imaging offers a unique environment for neurophysiology format standardization, with the support of the IFCN and industry partners.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Chemistry, Analytical
Nyi Nyi Tun, Fumiya Sanuki, Keiji Iramina
Summary: Functional coupling refers to the synchronization of brain and muscle oscillations during motor task execution. The directionality of information flow can be inferred from the delay time between two signals. The type of muscle contraction and motor task performance influence the functional coupling between brain and muscle.
Article
Mathematical & Computational Biology
Xian Hua, Jing Li, Ting Wang, Junhong Wang, Shaojun Pi, Hangcheng Li, Xugang Xi
Summary: This study used dynamic time warped (DTW) distances combined with graph theory to quantify the changes in functional connections between the cerebral cortex and muscles, and evaluate motor function in stroke rehabilitation. By calculating the feature importance of biological indicators such as DTW-EEG, DTW-EMG, BNDSI, and CMCSI, and combining these features for classification validation, the results showed that the feature combination achieved better results in predicting motor function rehabilitation at different levels of stroke.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Review
Engineering, Electrical & Electronic
Hideaki Hayashi, Toshio Tsuji
Summary: This paper reviews recent studies on human-machine interfaces based on bioelectric signals, including electromyogram (EMG) and electroencephalogram (EEG). The paper also introduces a brain-machine interface project for controlling domestic appliances.
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
(2022)
Article
Biology
Binish Fatimah, Amit Singhal, Pushpendra Singh
Summary: Healthy sleep is crucial for the body's rejuvenation and overall health. Automated assessment of sleep disorders using EEG and other signals can improve classification accuracy. The proposed method allows for real-time and cost-effective continuous patient monitoring and feedback.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Neurosciences
Emily Mear, Valerie Gladwell, Jamie Pethick
Summary: Previous research has shown that force control in lower limb muscles explains variance in static balance. This study aimed to determine if muscle force control also explains variance in dynamic balance, as measured using the Y balance test (YBT).
Article
Multidisciplinary Sciences
Rafal Szafraniec, Tadeusz Stefaniak, Dariusz Harmacinski, Michal Kuczynski
Summary: The study found that strength training can improve the accuracy and consistency of force in lower limbs during a force reproduction task, with a more pronounced improvement in the dominant limb. This asymmetry in force application ability changes between dominant and non-dominant limbs may be due to different mechanisms responsible for voluntary movement control.
Article
Engineering, Biomedical
Na Zhang, Ke Li, Guanglin Li, Raviraj Nataraj, Na Wei
Summary: Production of functional forces by human motor systems requires coordination across multiple muscles. This study investigated intermuscular coordination for grip and pinch at different force levels using a novel method called multiplex recurrence networks (MRN). The results showed differences in network parameters between grasp types and force levels, with extrinsic muscles exhibiting higher muscle coupling than intrinsic muscles.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
Mahdie Khaliq Fard, Ali Fallah, Ali Maleki
Summary: This paper investigates the brain activity and muscle synergy map of upper extremity in daily living movements, and proposes a synergy-based neural decoding method. By acquiring simultaneous electroencephalogram and electromyogram signals, the maximum correlation of neural commands with muscle synergies is extracted using a combined partial least squares and canonical correlation analysis method, and the relationship between extracted motor commands and muscle synergies is decoded using an Elman neural network. The experimental results demonstrate the high accuracy of the proposed method.
COGNITIVE NEURODYNAMICS
(2022)
Article
Neurosciences
Shoko Kasuga, Natsumi Momose, Junichi Ushiyama, Junichi Ushiba
NEUROSCIENCE RESEARCH
(2018)
Editorial Material
Clinical Neurology
Junichi Ushiyama, Junichi Ushiba
CLINICAL NEUROPHYSIOLOGY
(2013)
Article
Neurosciences
Hisato Toriyama, Junichi Ushiba, Junichi Ushiyama
FRONTIERS IN HUMAN NEUROSCIENCE
(2018)
Article
Physiology
Junichi Ushiyama, Yuji Takahashi, Junichi Ushiba
JOURNAL OF APPLIED PHYSIOLOGY
(2010)
Article
Physiology
Junichi Ushiyama, Yoshihisa Masakado, Toshiyuki Fujiwara, Tetsuya Tsuji, Kimitaka Hase, Akio Kimura, Meigen Liu, Junichi Ushiba
JOURNAL OF APPLIED PHYSIOLOGY
(2012)
Article
Physiology
Ryosuke Matsuya, Junichi Ushiyama, Junichi Ushiba
JOURNAL OF APPLIED PHYSIOLOGY
(2013)
Article
Neurosciences
Junichi Ushiyama, Taku Wakahara, Kei Masani, Motoki Kouzaki, Tetsuro Muraoka, Tetsuo Fukunaga, Hiroaki Kanehisa
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2010)
Article
Neurosciences
Junichi Ushiyama, Tatsuya Suzuki, Yoshihisa Masakado, Kimitaka Hase, Akio Kimura, Meigen Liu, Junichi Ushiba
JOURNAL OF NEUROPHYSIOLOGY
(2011)
Article
Sport Sciences
Junichi Ushiyama, Kei Masani
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2011)
Article
Neurosciences
Shun Sasagawa, Junichi Ushiyama, Motoki Kouzaki, Hiroaki Kanehisa
NEUROSCIENCE LETTERS
(2009)
Article
Multidisciplinary Sciences
Ryosuke Matsuya, Junichi Ushiyama, Junichi Ushiba
SCIENTIFIC REPORTS
(2017)
Article
Neurosciences
Yuko Kasashima, Toshiyuki Fujiwara, Yayoi Matsushika, Tetsuya Tsuji, Kimitaka Hase, Junichi Ushiyama, Junichi Ushiba, Meigen Liu
EXPERIMENTAL BRAIN RESEARCH
(2012)
Article
Sport Sciences
Hirotaka Sugino, Junichi Ushiyama
Summary: The study compared the kinesthetic motor imagery of sports non-specific movements between gymnasts and non-gymnasts from both physiological and psychological perspectives. Gymnasts showed more desynchronized EEG sensorimotor rhythms during kinesthetic motor imagery, and subjectively perceived their own movements to be more vivid. These findings suggest gymnasts possess a novel ability to flexibly control their sensorimotor rhythms without actual movements, contributing to their superior motor imagery skills.
FRONTIERS IN SPORTS AND ACTIVE LIVING
(2021)
Article
Clinical Neurology
Junichi Ushiyama, Junya Yamada, Meigen Liu, Junichi Ushiba
CLINICAL NEUROPHYSIOLOGY
(2017)