Review of sEMG for robot control: Techniques and applications
T Song, Z Yan, S Guo, Y Li, X Li, F Xi - Applied Sciences, 2023 - mdpi.com
Surface electromyography (sEMG) is a promising technology that can capture muscle
activation signals to control robots through novel human–machine interfaces (HMIs). This …
activation signals to control robots through novel human–machine interfaces (HMIs). This …
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …
impairs physical performance and increases the risks of injury. It is important to continuously …
A wearable ultrasound interface for prosthetic hand control
Z Yin, H Chen, X Yang, Y Liu, N Zhang… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Ultrasound can non-invasively detect muscle deformations and has great potential
applications in prosthetic hand control. Traditional ultrasound equipment was usually too …
applications in prosthetic hand control. Traditional ultrasound equipment was usually too …
A-mode ultrasound-based prediction of transfemoral amputee prosthesis walking kinematics via an artificial neural network
Lower-limb powered prostheses can provide users with volitional control of ambulation. To
accomplish this goal, they require a sensing modality that reliably interprets user intention to …
accomplish this goal, they require a sensing modality that reliably interprets user intention to …
Assessment of muscle fatigue based on motor unit firing, muscular vibration and oxygenation via hybrid mini-grid sEMG, MMG, and NIRS sensing
It is vital to measure muscular fatigue for human–machine interaction (HMI) and avoiding
muscle impairment. This article presents a novel approach to comprehensively evaluate …
muscle impairment. This article presents a novel approach to comprehensively evaluate …
Ultrasound as a Neurorobotic Interface: A Review
Neurorobotic devices, such as prostheses, exoskeletons, and muscle stimulators, can partly
restore motor functions in individuals with disabilities, such as stroke, spinal cord injury …
restore motor functions in individuals with disabilities, such as stroke, spinal cord injury …
Ambulation mode classification of individuals with transfemoral amputation through a-mode sonomyography and convolutional neural networks
Many people struggle with mobility impairments due to lower limb amputations. To
participate in society, they need to be able to walk on a wide variety of terrains, such as …
participate in society, they need to be able to walk on a wide variety of terrains, such as …
Cross modality knowledge distillation between A-mode ultrasound and surface electromyography
Surface electromyography (sEMG) and A-mode ultrasound (AUS) are two widely employed
sensing modalities to detect muscle activities. By comparison, the AUS modality shows the …
sensing modalities to detect muscle activities. By comparison, the AUS modality shows the …
Adaptive Learning against Muscle Fatigue for A-mode Ultrasound based Gesture Recognition
It is evident that the state-of-the-art in multisensory hand gesture recognition indicates the
superior performance of the A-mode ultrasound (AUS) modality over its counterparts …
superior performance of the A-mode ultrasound (AUS) modality over its counterparts …
Continuous A-mode ultrasound-based prediction of transfemoral amputee prosthesis kinematics across different ambulation tasks
Objective: Volitional control systems for powered prostheses require the detection of user
intent to operate in real life scenarios. Ambulation mode classification has been proposed to …
intent to operate in real life scenarios. Ambulation mode classification has been proposed to …