Toward higher-performance bionic limbs for wider clinical use
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by
the user as belonging to their own body. Robotic limbs can convey information about the …
the user as belonging to their own body. Robotic limbs can convey information about the …
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 …
Myoelectric control for upper limb prostheses
State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
A framework for optimizing co-adaptation in body-machine interfaces
D De Santis - Frontiers in Neurorobotics, 2021 - frontiersin.org
The operation of a human-machine interface is increasingly often referred to as a two-
learners problem, where both the human and the interface independently adapt their …
learners problem, where both the human and the interface independently adapt their …
Co-adaptive control of bionic limbs via unsupervised adaptation of muscle synergies
Objective: In this work, we present a myoelectric interface that extracts natural motor
synergies from multi-muscle signals and adapts in real-time with new user inputs. With this …
synergies from multi-muscle signals and adapts in real-time with new user inputs. With this …
Optimal Motor Unit Subset Selection for Accurate Motor Intention Decoding: Towards Dexterous Real-Time Interfacing
Objective: Motor unit (MU) discharge timings encode human motor intentions to the finest
degree. Whilst tapping into such information can bring significant gains to a range of …
degree. Whilst tapping into such information can bring significant gains to a range of …
User Training With Error Augmentation for sEMG-Based Gesture Classification
Y Bicer, N Smedemark-Margulies… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
We designed and tested a system for real-time control of a user interface by extracting
surface electromyographic (sEMG) activity from eight electrodes in a wristband …
surface electromyographic (sEMG) activity from eight electrodes in a wristband …
Prosthetics and innovation
I Vujaklija, D Farina - Blast Injury Science and Engineering: A Guide for …, 2023 - Springer
Primary and secondary limb amputations are a common consequence of blast-induced
extremity injuries. The resulting limb loss can lead to a severe decrease in quality of life …
extremity injuries. The resulting limb loss can lead to a severe decrease in quality of life …
User Training with Error Augmentation for Electromyogram-based Gesture Classification
We designed and tested a system for real-time control of a user interface by extracting
surface electromyographic (sEMG) activity from eight electrodes in a wrist-band …
surface electromyographic (sEMG) activity from eight electrodes in a wrist-band …
Progressive unsupervised control of myoelectric upper limbs
Objective. Unsupervised myocontrol methods aim to create control models for myoelectric
prostheses while avoiding the complications of acquiring reliable, regular, and sufficient …
prostheses while avoiding the complications of acquiring reliable, regular, and sufficient …