Cargando…

Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown

The brain-machine interface (BMI) used in neural prosthetics involves recording signals from neuron populations, decoding those signals using mathematical modeling algorithms, and translating the intended action into physical limb movement. Recently, somatosensory feedback has become the focus of ma...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vidal, Gabriel W. Vattendahl, Rynes, Mathew L., Kelliher, Zachary, Goodwin, Shikha Jain
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2016
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904116/ https://www.ncbi.nlm.nih.gov/pubmed/27313959 http://dx.doi.org/10.1155/2016/8956432

Ejemplares similares

Feedback and breakdown in parallel-plate chambers
por: Fonte, Paulo J R, et al.
Publicado: (1991)

Brain-computer interface with somatosensory feedback improves functional recovery from severe hemiplegia due to chronic stroke
por: Ono, Takashi, et al.
Publicado: (2014)

Somatosensory ECoG-based brain–machine interface with electrical stimulation on medial forebrain bundle
por: Cho, Yoon Kyung, et al.
Publicado: (2022)

Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup
por: Lienkämper, Robin, et al.
Publicado: (2021)

Optimal feedback control successfully explains changes in neural modulations during experiments with brain-machine interfaces
por: Benyamini, Miri, et al.
Publicado: (2015)

Cortex-wide neural interfacing via transparent polymer skulls
por: Ghanbari, Leila, et al.
Publicado: (2019)

Erratum: Optimal feedback control successfully explains changes in neural modulations during experiments with brain-machine interfaces
Publicado: (2015)

High-Accuracy Brain-Machine Interfaces Using Feedback Information
por: Yeom, Hong Gi, et al.
Publicado: (2014)

Strategies for neural control of prosthetic limbs: from electrode interfacing to 3D printing
por: Ngan, Catherine G.Y., et al.
Publicado: (2019)

Neural surprise in somatosensory Bayesian learning
por: Gijsen, Sam, et al.
Publicado: (2021)

57. Functional Reinnervation of Cutaneous Mechanoreceptors in a Biologic Patient-prosthetic Peripheral Nerve Interface for the Restoration of Sensory Feedback
por: Adidharma, Widya, et al.
Publicado: (2023)

Abstract 113: The Osseointegrated Neural Interface For Prosthetic Control: A Chronic, Percutaneous, Rabbit Model
por: Dingle, Aaron M., et al.
Publicado: (2020)

Phantom Sensations Influenced by Global and Local Modifications of the Prosthetic Socket as a Potential Solution for Natural Somatosensory Feedback During Walking: A Preliminary Study of a Single Case
por: Bachini, Lisa, et al.
Publicado: (2022)

Distributed task-specific processing of somatosensory feedback for voluntary motor control
por: Omrani, Mohsen, et al.
Publicado: (2016)

Human–robotic interfaces to shape the future of prosthetics
Publicado: (2019)

Multichannel haptic feedback unlocks prosthetic hand dexterity
por: Abd, Moaed A., et al.
Publicado: (2022)

Brain-machine interface to control a prosthetic arm with monkey ECoGs during periodic movements
por: Morishita, Soichiro, et al.
Publicado: (2014)

Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback
por: Abbasi, Aamir, et al.
Publicado: (2023)

Leg Prosthesis With Somatosensory Feedback Reduces Phantom Limb Pain and Increases Functionality
por: Dietrich, Caroline, et al.
Publicado: (2018)

A Non-canonical Feedback Circuit for Rapid Interactions between Somatosensory Cortices
por: Minamisawa, Genki, et al.
Publicado: (2018)

Audio Feedback Associated With Body Movement Enhances Audio and Somatosensory Spatial Representation
por: Cuppone, Anna Vera, et al.
Publicado: (2018)

Movement-Related Sensorimotor High-Gamma Activity Mainly Represents Somatosensory Feedback
por: Ryun, Seokyun, et al.
Publicado: (2017)

Aqueous ionic effect on electrochemical breakdown of Si-dielectric–electrolyte interface
por: Yun, Jeongse, et al.
Publicado: (2020)

Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review
por: Jiang, Ning, et al.
Publicado: (2023)

Substitutive proprioception feedback of a prosthetic wrist by electrotactile stimulation
por: Han, Yichen, et al.
Publicado: (2023)

Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder
por: Willsey, Matthew S., et al.
Publicado: (2022)

Categorical Vowel Perception Enhances the Effectiveness and Generalization of Auditory Feedback in Human-Machine-Interfaces
por: Larson, Eric, et al.
Publicado: (2013)

Steady-State Somatosensory Evoked Potential for Brain-Computer Interface—Present and Future
por: Ahn, Sangtae, et al.
Publicado: (2016)

Topographic Somatosensory Imagery for Real-Time fMRI Brain-Computer Interfacing
por: Kaas, Amanda, et al.
Publicado: (2019)

The effect of unpredicted visual feedback on activation in the secondary somatosensory cortex during movement execution
por: Wasaka, Toshiaki, et al.
Publicado: (2012)

Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex
por: Yu, Yinghua, et al.
Publicado: (2019)

Optimal integration of intraneural somatosensory feedback with visual information: a single-case study
por: Risso, G., et al.
Publicado: (2019)

Visual and somatosensory feedback mechanisms of precision manual motor control in autism spectrum disorder
por: Shafer, Robin L., et al.
Publicado: (2021)

Intrinsic somatosensory feedback supports motor control and learning to operate artificial body parts
por: Amoruso, E, et al.
Publicado: (2022)

Human-Machine Interface for the Control of Multi-Function Systems Based on Electrocutaneous Menu: Application to Multi-Grasp Prosthetic Hands
por: Gonzalez-Vargas, Jose, et al.
Publicado: (2015)

Turning Neural Prosthetics Into Viable Products
por: Loeb, Gerald E., et al.
Publicado: (2021)

Making brain–machine interfaces robust to future neural variability
por: Sussillo, David, et al.
Publicado: (2016)

A cross-modal feedback scheme for control of prosthetic grasp strength
por: Kaneris, Ioannis, et al.
Publicado: (2016)

Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions
por: Sun, Zhongda, et al.
Publicado: (2022)

Novel electrotactile brain-computer interface with somatosensory event-related potential based control
por: Savić, Andrej M., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_1j4t7pjpe0cj950ies04ld8vll