Toward higher-performance bionic limbs for wider clinical use

D Farina, I Vujaklija, R Brånemark, AMJ Bull… - Nature biomedical …, 2023 - nature.com
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 …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
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 …

Myoelectric control for upper limb prostheses

C Igual, LA Pardo Jr, JM Hahne, J Igual - Electronics, 2019 - mdpi.com
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 …

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 …

Co-adaptive control of bionic limbs via unsupervised adaptation of muscle synergies

D Yeung, IM Guerra… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Optimal Motor Unit Subset Selection for Accurate Motor Intention Decoding: Towards Dexterous Real-Time Interfacing

D Yeung, F Negro, I Vujaklija - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

User Training with Error Augmentation for Electromyogram-based Gesture Classification

Y Bicer, N Smedemark-Margulies, B Celik… - arXiv preprint arXiv …, 2023 - arxiv.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 wrist-band …

Progressive unsupervised control of myoelectric upper limbs

A Gigli, A Gijsberts, M Nowak, I Vujaklija… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Unsupervised myocontrol methods aim to create control models for myoelectric
prostheses while avoiding the complications of acquiring reliable, regular, and sufficient …