A Hybrid Brain-Computer Interface based Wearable Exoskeleton System for Fine-Grained Hand Rehabilitation

Authors: Ma, Yueqi, Huang, Yong, Li, Cheng, Chen, Siyi, Yang, Shuo, Zheng, Yingying, Zheng, Lirong, Li, Jianqing, Huan, Yuxiang

Source: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) Biomedical Circuits and Systems Conference (BioCAS), 2024 IEEE. :1-6 Oct, 2024

Relation: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS)

Opposition Movement of the Little Finger Enhances the Grasping Function of Robotic Hands

Authors: Liang, R., Zhang, Q., Yang, W., Li, L., He, B.

Source: IEEE Robotics and Automation Letters IEEE Robot. Autom. Lett. Robotics and Automation Letters, IEEE. 9(4):3743-3750 Apr, 2024

Hand Function Rehabilitation Training Robot Based on Ycbcr and CNN

Authors: Shan, S., Zhou, J.

Source: IEEE Access Access, IEEE. 12:68999-69008 2024

Feasibility of Wearable PPG for Simultaneous Hand Gesture and Force Level Classification

Authors: Li, D., Kang, P., Zhu, K., Li, J., Shull, P.B.

Source: IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 23(6):6008-6017 Mar, 2023

Effects of task-based mirror therapy on upper limb motor function in hemiplegia: study protocol for a randomized controlled clinical trial

Authors: Hongzhen Liu, Yangjie Xu, Wei Jiang, Fangchao Hu, Yi Zhou, Lu Pan, Feng Zhou, Ying Yin, Botao Tan

Source: Trials, Vol 25, Iss 1, Pp 1-12 (2024)

Subject Terms: Task-based mirror therapy, Stroke, Hand function rehabilitation, Diffusion tensor imaging, Medicine (General), R5-920

File Description: electronic resource

Relation: https://doaj.org/toc/1745-6215

Access URL: https://doaj.org/article/06c7274062c141bf82a9f7124093c051

An evaluation model of hand function rehabilitation based on cloud model

Authors: Sun, Wei, Liu, Qin, Peng, Haining, Kang, Gu, Li, Li

Source: 2019 6th International Conference on Systems and Informatics (ICSAI) Systems and Informatics (ICSAI), 2019 6th International Conference on. :1428-1432 Nov, 2019

Relation: 2019 6th International Conference on Systems and Informatics (ICSAI)

Explainable Artificial Intelligence in Stroke from the Clinical, Rehabilitation and Nursing Perspectives

Contributors: Jia, Jie, Hu, Yan, Zhang, Dingguo

Subject Terms: non-invasive brain stimulation, stroke, spasticity, meta-analysis, hemiplegia, electromyographic bridge, upper limb rehabilitation, randomized controlled trial, hypoxic ischemic encephalopathy, disorders of consciousness, metabolic connectivity, positron emission tomography, 18F-fluorodeoxyglucose, hand function rehabilitation, hand rehabilitation robot, computer vision technology, wearable devices, sensors, artificial intelligence, brain–computer interface, active rehabilitation training, motor function, brain function, executive function, postural control, gait, repetitive transcranial stimulation, facial paralysis, peripheral magnetic stimulation, blood flows, laser speckle, stroke rehabilitation, upper limb, automated system, motor function assessment, Fugl-Meyer Assessment, motor attempt (MA), EEG, deep learning method, overlapping time window, facial expression recognition (FER), vision transformer (ViT), convolutional neural networks (CNNs), rehabilitation, assessment, upper extremity, hand, brain–computer interfaces, motor task, sensorimotor rhythm, hand rehabilitation, motor imagery, virtual reality, rTMS, DTI, immersive virtual reality, post-stroke cognitive impairment, aging, Medicine and Nursing, Neurology and clinical neurophysiology

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/98836
https://mdpi.com/books/pdfview/book/6889

Stretchable, Flexible, Breathable, Self-Adhesive Epidermal Hand sEMG Sensor System

Authors: Kerong Yang, Senhao Zhang, Xuhui Hu, Jiuqiang Li, Yingying Zhang, Yao Tong, Hongbo Yang, Kai Guo

Source: Bioengineering, Vol 11, Iss 2, p 146 (2024)

Subject Terms: epidermal sEMG sensor, stretchable structure design, sensor fabrication design, hand function rehabilitation, Technology, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://www.mdpi.com/2306-5354/11/2/146; https://doaj.org/toc/2306-5354

Access URL: https://doaj.org/article/36808bed19ad4ac69ed150372537d113

A Review of Hand Function Rehabilitation Systems Based on Hand Motion Recognition Devices and Artificial Intelligence

Authors: Yuexing Gu, Yuanjing Xu, Yuling Shen, Hanyu Huang, Tongyou Liu, Lei Jin, Hang Ren, Jinwu Wang

Source: Brain Sciences, Vol 12, Iss 8, p 1079 (2022)

Subject Terms: hand function rehabilitation, hand rehabilitation robot, computer vision technology, wearable devices, sensors, artificial intelligence, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3425/12/8/1079; https://doaj.org/toc/2076-3425

Access URL: https://doaj.org/article/5e1e7ab6934142899ea3b56f3470635c