Sensory feedback add-on for upper-limb prostheses

2016 ◽  
Vol 41 (3) ◽  
pp. 314-317 ◽  
Author(s):  
Nader Fallahian ◽  
Hassan Saeedi ◽  
Hamidreza Mokhtarinia ◽  
Farhad Tabatabai Ghomshe
Keyword(s):  
Upper Limb ◽  
Sensory Feedback ◽  
Feedback System ◽  
Technical Note ◽  
High Tech ◽  
Feedback Systems ◽  
Myoelectric Prosthesis ◽  
Upper Limb Prostheses ◽  
Direct Feedback ◽  
A Current

Background and aim:Sensory feedback systems have been of great interest in upper-limb prosthetics. Despite tremendous research, there are no commercial modality-matched feedback systems. This article aims to introduce the first detachable and feedback add-on option that can be attached to in-use prostheses.Technique:A sensory feedback system was tested on a below-elbow myoelectric prosthesis. The aim was to have the amputee grasp fragile objects without crushing while other accidental feedback sources were blocked.Discussion:A total of 8 successful trials (out of 10) showed that sensory feedback system decreased the amputee’s visual dependency by improving awareness of his prosthesis. Sensory feedback system can be used either as post-fabrication (prosthetic add-on option) or para-fabrication (incorporated into prosthetic design). The use of these direct feedback systems can be explored with a current prosthesis before ordering new high-tech prosthesis.Clinical relevanceThis technical note introduces the first attach/detach-able sensory feedback system that can simply be added to in-use (myo)electric prosthesis, with no obligation to change prosthesis design or components.

scholarly journals Joint speed feedback improves myoelectric prosthesis adaptation after perturbed reaches in non amputees

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric J. Earley ◽  
Reva E. Johnson ◽  
Jonathon W. Sensinger ◽  
Levi J. Hargrove
Keyword(s):  
Sensory Feedback ◽  
Feedforward Control ◽  
Feedback System ◽  
Augmented Feedback ◽  
Myoelectric Prosthesis ◽  
Reaching Task ◽  
Prosthesis Control ◽  
High Uncertainty ◽  
Relevant Factors ◽  
Positional Control

AbstractAccurate control of human limbs involves both feedforward and feedback signals. For prosthetic arms, feedforward control is commonly accomplished by recording myoelectric signals from the residual limb to predict the user’s intent, but augmented feedback signals are not explicitly provided in commercial devices. Previous studies have demonstrated inconsistent results when artificial feedback was provided in the presence of vision; some studies showed benefits, while others did not. We hypothesized that negligible benefits in past studies may have been due to artificial feedback with low precision compared to vision, which results in heavy reliance on vision during reaching tasks. Furthermore, we anticipated more reliable benefits from artificial feedback when providing information that vision estimates with high uncertainty (e.g. joint speed). In this study, we test an artificial sensory feedback system providing joint speed information and how it impacts performance and adaptation during a hybrid positional-and-myoelectric ballistic reaching task. We found that overall reaching errors were reduced after perturbed control, but did not significantly improve steady-state reaches. Furthermore, we found that feedback about the joint speed of the myoelectric prosthesis control improved the adaptation rate of biological limb movements, which may have resulted from high prosthesis control noise and strategic overreaching with the positional control and underreaching with the myoelectric control. These results provide insights into the relevant factors influencing the improvements conferred by artificial sensory feedback.

A review of invasive and non-invasive sensory feedback in upper limb prostheses

2017 ◽  
Vol 14 (6) ◽  
pp. 439-447 ◽  
Author(s):  
Pamela Svensson ◽  
Ulrika Wijk ◽  
Anders Björkman ◽  
Christian Antfolk
Keyword(s):  
Upper Limb ◽  
Sensory Feedback ◽  
Non Invasive ◽  
Upper Limb Prostheses

scholarly journals Artificial Joint Speed Feedback for Myoelectric Prosthesis Controls

2020 ◽  
Author(s):  
Eric J. Earley ◽  
Reva E. Johnson ◽  
Jonathon W. Sensinger ◽  
Levi J. Hargrove
Keyword(s):  
Sensory Feedback ◽  
Feedforward Control ◽  
Feedback System ◽  
Modest Improvement ◽  
Myoelectric Prosthesis ◽  
Reaching Task ◽  
Prosthesis Control ◽  
High Uncertainty ◽  
Relevant Factors ◽  
Positional Control

I.AbstractAccurate control of human limbs involves both feedforward and feedback signals. For prosthetic arms, feedforward control is commonly accomplished by recording myoelectric signals from the residual limb to predict the user’s intent, but augmented feedback signals are not explicitly provided in commercial devices. Previous studies have demonstrated inconsistent results when artificial feedback was provided in the presence of vision. We hypothesized that negligible benefits in past studies may have been due to artificial feedback with low precision compared to vision, which results in heavy reliance on vision during reaching tasks. Furthermore, we anticipated more reliable benefits from artificial feedback when providing information that vision estimates with high uncertainty – joint speed. In this study, we test an artificial sensory feedback system providing joint speed information and how it impacts performance and adaptation during a hybrid positional-and-myoelectric ballistic reaching task. We found modest improvement in overall reaching errors after perturbed control, and that high prosthesis control noise was compensated for by strategic overreaching with the positional control and underreaching with the myoelectric control. These results provide insights into the relevant factors influencing the improvements conferred by artificial sensory feedback.

scholarly journals Sensory Feedback in Upper Limb Prostheses

2020 ◽  
Vol 74 (5) ◽  
pp. 308-317
Author(s):  
Dace Dimante ◽  
Ināra Logina ◽  
Marco Sinisi ◽  
Angelika Krūmiņa
Keyword(s):  
Upper Limb ◽  
Visual Cues ◽  
Sensory Feedback ◽  
Movement Control ◽  
Major Step ◽  
Robotic Arms ◽  
Socioeconomic Groups ◽  
Myoelectric Prostheses ◽  
Non Invasive ◽  
Upper Limb Prostheses

Abstract Loss of an arm is a devastating condition that can cross all socioeconomic groups. A major step forward in rehabilitation of amputees has been the development of myoelectric prostheses. Current robotic arms allow voluntary movements by using residual muscle contraction. However, a significant issue is lack of movement control and sensory feedback. These factors play an important role in integration and embodiment of a robotic arm. Without feedback, users rely on visual cues and experience overwhelming cognitive demand that results in poorer use of a prosthesis. The complexity of the afferent system presents a great challenge of creating a closed-loop hand prosthesis. Several groups have shown progress providing sensory feedback for upper limb amputees using robotic arms. Feedback, although still limited, is achieved through direct implantation of intraneural electrodes as well as through non-invasive methods. Moreover, evidence shows that over time some amputees develop a phantom sensation of the missing limb on their stump. This phenomenon can occur spontaneously as well as after non-invasive nerve stimulation, suggesting the possibility of recreating a sensory homunculus of the hand on the stump. Furthermore, virtual reality simulation in combination with mechanical stimulation of skin could augment the sensation phenomenon, leading to better interface between human and robotic arms.

Sign in / Sign up

Export Citation Format

Share Document