Computer Aids for Visual Neuroprosthetic Devices

2008 ◽  
pp. 96-108 ◽  
Author(s):  
Samuel Romero ◽  
Christian Morillas ◽  
Juan Pedro Cobos ◽  
Francisco Pelayo ◽  
Alberto Prieto ◽  
...  
Keyword(s):  
Neuroprosthetic Devices

scholarly journals Enhancing the smoothness of joint motion induced by functional electrical stimulation using co-activation strategies

2017 ◽  
Vol 3 (2) ◽  
pp. 155-159
Author(s):  
Mirjana Ruppel ◽  
Christian Klauer ◽  
Thomas Schauer
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Joint Stiffness ◽  
Joint Motion ◽  
Activation Level ◽  
Pendulum Test ◽  
Co Activation ◽  
Antagonistic Muscle ◽  
Induced Motion ◽  
Neuroprosthetic Devices

AbstractThe motor precision of today’s neuroprosthetic devices that use artificial generation of limb motion using Functional Electrical Stimulation (FES) is generally low. We investigate the adoption of natural co-activation strategies as present in antagonistic muscle pairs aiming to improve motor precision produced by FES. In a test in which artificial knee-joint movements were generated, we could improve the smoothness of FES-induced motion by 513% when applying co-activation during the phases in which torque production is switched between muscles – compared to no co-activation. We further demonstrated how the co-activation level influences the joint stiffness in a pendulum test.

scholarly journals Neuroprosthetic devices: how far are we from recovering movement in paralyzed patients?

2009 ◽  
Vol 9 (4) ◽  
pp. 427-430 ◽  
Author(s):  
Joseph J Pancrazio ◽  
P Hunter Peckham
Keyword(s):  
Neuroprosthetic Devices

Dexamethasone treatment reduces astroglia responses to inserted neuroprosthetic devices in rat neocortex

2005 ◽  
Vol 194 (2) ◽  
pp. 289-300 ◽  
Author(s):  
L. Spataro ◽  
J. Dilgen ◽  
S. Retterer ◽  
A.J. Spence ◽  
M. Isaacson ◽  
...  
Keyword(s):  
Dexamethasone Treatment ◽  
Rat Neocortex ◽  
Neuroprosthetic Devices

scholarly journals Electroencephalogram (EEG) Based Imagined Speech Decoding and Recognition

2021 ◽  
Vol 2 (2) ◽  
pp. 74-84
Author(s):  
Sani Saminu ◽  
Guizhi Xu ◽  
Zhang Shuai ◽  
Abd El Kader Isselmou ◽  
Adamu Halilu Jabire ◽  
...  
Keyword(s):  
Neurological Disorders ◽  
Brain Activity ◽  
Low Cost ◽  
High Temporal Resolution ◽  
Human Cortex ◽  
Prosthetic Devices ◽  
Neurological Processes ◽  
Electroencephalogram Eeg ◽  
Neuroprosthetic Devices ◽  
Neuroimaging Techniques

The recent investigations and advances in imagined speech decoding and recognition has tremendously improved the decoding of speech directly from brain activity with the help of several neuroimaging techniques that assist us in exploring the neurological processes of imagined speech. This development leads to assist people with disabilities to benefit from neuroprosthetic devices that improve the life of those suffering from neurological disorders. This paper presents the summary of recent progress in decoding imagined speech using Electroenceplography (EEG) signal, as this neuroimaging method enable us to monitor brain activity with high temporal resolution, it is very portable, low cost, and safer as compared to other methods. Therefore, it is a good candidate in investigating an imagined speech decoding from the human cortex which remains a challenging task. The paper also reviews some recent techniques, challenges, future recommendations and possible solutions to improve prosthetic devices and the development of brain computer interface system (BCI).

scholarly journals The Reconnecting the Hand and Arm with Brain (ReHAB) Commentary on “An Integrated Brain-Machine Interface Platform With Thousands of Channels” (Preprint)

2019 ◽  
Author(s):  
Robert F Kirsch ◽  
A Bolu Ajiboye ◽  
Jonathan P Miller
Keyword(s):  
Neurological Disorders ◽  
Brain Machine Interface ◽  
Loss Of Function ◽  
Brain Machine Interfaces ◽  
Electrode Interface ◽  
Machine Interface ◽  
Almost All ◽  
Neuroprosthetic Devices ◽  
The Brain

UNSTRUCTURED Intracortical brain-machine interfaces are a promising technology for allowing people with chronic and severe neurological disorders that resulted in loss of function to potentially regain those functions through neuroprosthetic devices. The penetrating microelectrode arrays used in almost all previous studies of intracortical brain-machine interfaces in people had a limited recording life (potentially due to issues with long-term biocompatibility), as well as a limited number of recording electrodes with limited distribution in the brain. Significant advances are required in this array interface to deal with the issues of long-term biocompatibility and lack of distributed recordings. The Musk and Neuralink manuscript proposes a novel and potentially disruptive approach to advancing the brain-electrode interface technology, with the potential of addressing many of these hurdles. Our commentary addresses the potential advantages of the proposed approach, as well as the remaining challenges to be addressed.

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