Active upper limb prostheses: A review on current state and upcoming breakthroughs
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
Current solutions and future trends for robotic prosthetic hands
The desire for functional replacement of a missing hand is an ancient one. Historically,
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …
Motor control and sensory feedback enhance prosthesis embodiment and reduce phantom pain after long-term hand amputation
DM Page, JA George, DT Kluger, C Duncan… - Frontiers in human …, 2018 - frontiersin.org
We quantified prosthesis embodiment and phantom pain reduction associated with motor
control and sensory feedback from a prosthetic hand in one human with a long-term …
control and sensory feedback from a prosthetic hand in one human with a long-term …
Control capabilities of myoelectric robotic prostheses by hand amputees: a scientific research and market overview
Hand amputation can dramatically affect the capabilities of a person. Cortical reorganization
occurs in the brain, but the motor and somatosensorial cortex can interact with the remnant …
occurs in the brain, but the motor and somatosensorial cortex can interact with the remnant …
Toward robust, adaptiveand reliable upper-limb motion estimation using machine learning and deep learning–A survey in myoelectric control
To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …
Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition
Myoelectric control, the use of electromyogram (EMG) signals generated during muscle
contractions to control a system or device, is a promising input, enabling always-available …
contractions to control a system or device, is a promising input, enabling always-available …
Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …
establish human-machine interfacing (HMI), but most investigations are implemented offline …
Finger joint angle estimation based on motoneuron discharge activities
Estimation of joint kinematics plays an important role in intuitive human-machine
interactions. However, continuous and reliable estimation of small (eg, the finger) joint …
interactions. However, continuous and reliable estimation of small (eg, the finger) joint …
Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis
Objective. Myoelectric activity volitionally generated by the user is often used for controlling
hand prostheses in order to replicate the synergistic actions of muscles in healthy humans …
hand prostheses in order to replicate the synergistic actions of muscles in healthy humans …