EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges

C Fang, B He, Y Wang, J Cao, S Gao - Biosensors, 2020 - mdpi.com
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

[PDF][PDF] Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: A 10-year perspective review

N Jiang, C Chen, J He, J Meng, L Pan… - National Science …, 2023 - academic.oup.com
ABSTRACT A decade ago, a group of researchers from academia and industry identified a
dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis …

Model-based online learning and adaptive control for a “human-wearable soft robot” integrated system

ZQ Tang, HL Heung, KY Tong… - The International Journal …, 2021 - journals.sagepub.com
Soft robots are considered intrinsically safe with regard to human–robot interaction. This has
motivated the development and investigation of soft medical robots, such as soft robotic …

An EMG-driven musculoskeletal model for estimating continuous wrist motion

Y Zhao, Z Zhang, Z Li, Z Yang… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
EMG-based continuous wrist joint motion estimation has been identified as a promising
technique with huge potential in assistive robots. Conventional data-driven model-free …

Multichannel haptic feedback unlocks prosthetic hand dexterity

MA Abd, J Ingicco, DT Hutchinson, E Tognoli… - Scientific reports, 2022 - nature.com
Loss of tactile sensations is a major roadblock preventing upper limb-absent people from
multitasking or using the full dexterity of their prosthetic hands. With current myoelectric …

Explainable and robust deep forests for EMG-force modeling

X Jiang, K Nazarpour, C Dai - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Machine and deep learning techniques have received increasing attentions in estimating
finger forces from high-density surface electromyography (HDsEMG), especially for neural …

Sensory feedback for upper-limb prostheses: opportunities and barriers

L Jabban, S Dupan, D Zhang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
The addition of sensory feedback to upper-limb prostheses has been shown to improve
control, increase embodiment, and reduce phantom limb pain. However, most commercial …

Computationally efficient personalized EMG-driven musculoskeletal model of wrist joint

Y Zhao, J Zhang, Z Li, K Qian, SQ Xie… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Myoelectric control has gained much attention which translates the human intentions into
control commands for exoskeletons. The electromyogram (EMG)-driven musculoskeletal …

Offline Evaluation Matters: Investigation of the Influence of Offline Performance of EMG-Based Neural-Machine Interfaces on User Adaptation, Cognitive Load, and …

RM Hinson, J Berman, IC Lee… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There has been controversy about the value of offline evaluation of EMG-based neural-
machine interfaces (NMIs) for their real-time application. Often, conclusions have been …

Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction

H Huang, LJ Hargrove, M Ortiz-Catalan… - Annual Review of …, 2024 - annualreviews.org
Significant advances in bionic prosthetics have occurred in the past two decades. The field's
rapid expansion has yielded many exciting technologies that can enhance the physical …