Controlling upper limb prostheses using sonomyography (SMG): A review

V Nazari, YP Zheng - Sensors, 2023 - mdpi.com
This paper presents a critical review and comparison of the results of recently published
studies in the fields of human–machine interface and the use of sonomyography (SMG) for …

PlayBionic: game-based interventions to encourage patient engagement and performance in prosthetic motor rehabilitation

C Prahm, F Kayali, A Sturma, O Aszmann - PM&R, 2018 - Elsevier
Background Prosthetic motor rehabilitation usually relies on the highly repetitive training of
movements. Patients might drop out of training because the rehabilitation process is long …

[图书][B] Introduction to ecological psychology: A lawful approach to perceiving, acting, and cognizing

JJC Blau, JB Wagman - 2022 - taylorfrancis.com
Introduction to Ecological Psychology is a highly accessible book that offers an overview of
the fundamental theoretical foundations of Ecological Psychology. The authors, Julia JC …

Proprioceptive sonomyographic control: A novel method for intuitive and proportional control of multiple degrees-of-freedom for individuals with upper extremity limb …

AS Dhawan, B Mukherjee, S Patwardhan, N Akhlaghi… - Scientific reports, 2019 - nature.com
Technological advances in multi-articulated prosthetic hands have outpaced the
development of methods to intuitively control these devices. In fact, prosthetic users often …

Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements

L Pan, DL Crouch, H Huang - IEEE transactions on neural …, 2019 - ieeexplore.ieee.org
Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous
control with multiple degrees of freedom. Emerging methods range from data-driven …

User training for machine learning controlled upper limb prostheses: a serious game approach

MB Kristoffersen, AW Franzke, RM Bongers… - … of neuroengineering and …, 2021 - Springer
Background Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly
operated through the clinical standard Direct Control scheme. Machine learning control, on …

SEMG-based upper limb movement classifier: Current scenario and upcoming challenges

MC Tosin, JC Machado, A Balbinot - Journal of Artificial Intelligence …, 2022 - jair.org
Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …

Extended reality “x-reality” for prosthesis training of upper-limb amputees: A review on current and future clinical potential

A Gaballa, RS Cavalcante, E Lamounier… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
The rejection rates of upper-limb prosthetic devices in adults are high, currently averaging
26% and 23% for body-powered and electric devices, respectively. While many factors …

Clinical perspectives in upper limb prostheses: An update

AD Roche, B Lakey, I Mendez, I Vujaklija… - Current Surgery …, 2019 - Springer
Abstract Purpose of Review This paper aims to summarise the development trends in upper
limb bionics over the past 5 years. Recent Findings Increasingly pattern recognition and …

[HTML][HTML] Serious games are not serious enough for myoelectric prosthetics

CA Garske, M Dyson, S Dupan, G Morgan… - JMIR serious …, 2021 - games.jmir.org
Serious games show a lot of potential for use in movement rehabilitation (eg, after a stroke,
injury to the spinal cord, or limb loss). However, the nature of this research leads to diversity …