Abstract:
:Functional electrical stimulation (FES) involves artificial activation of muscles with surface or implanted electrodes to restore motor function in paralyzed individuals. Currently, FES-based prostheses produce only a limited range of movements due to the difficulty associated with identifying patterns of muscle activity needed to evoke more complex behaviour. Here we test three probability-based models (Bayesian density estimation, polynomial curve fitting and dynamic neural network) that use the trajectory of the hand to predict the electromyographic (EMG) activities of 12 arm muscles during complex two- and three-dimensional movements. Across most conditions, the neural network model yielded the best predictions of muscle activity. For three-dimensional movements, the predicted patterns of muscle activity using the neural network accounted for 40% of the variance in the actual EMG signals and were associated with an average root-mean-squared error of 6%. These results suggest that such probabilistic models could be used effectively to predict patterns of muscle stimulation needed to produce complex movements with an FES-based neuroprosthetic.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Johnson LA,Fuglevand AJdoi
10.1088/1741-2560/6/5/055008subject
Has Abstractpub_date
2009-10-01 00:00:00pages
055008issue
5eissn
1741-2560issn
1741-2552pii
S1741-2560(09)10785-1journal_volume
6pub_type
杂志文章abstract:OBJECTIVE:Brain-computer interfaces (BCIs) have the potential to be valuable clinical tools. However, the varied nature of BCIs, combined with the large number of laboratories participating in BCI research, makes uniform performance reporting difficult. To address this situation, we present a tutorial on performance me...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/3/035001
更新日期:2014-06-01 00:00:00
abstract::We present a micromachined 252-channel ECoG (electrocorticogram)-electrode array, which is made of a thin polyimide foil substrate enclosing sputtered platinum electrode sites and conductor paths. The array subtends an area of approximately 35 mm by 60 mm and is designed to cover large parts of a hemisphere of a macaq...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/3/036003
更新日期:2009-06-01 00:00:00
abstract:OBJECTIVE:Brain-computer interfaces (BCIs) can help patients who have lost control over most muscles but are still conscious and able to communicate or interact with the environment. One of the most popular types of BCI is the P300-based BCI. With this BCI, users are asked to count the number of appearances of target s...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa6213
更新日期:2017-06-01 00:00:00
abstract:OBJECTIVE:In electroencephalographic (EEG) data, signals from distinct sources within the brain are widely spread by volume conduction and superimposed such that sensors receive mixtures of a multitude of signals. This reduction of spatial information strongly hampers single-trial analysis of EEG data as, for example, ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/4/046003
更新日期:2016-08-01 00:00:00
abstract:OBJECTIVE:The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct line-of-view is necessary to identify objects, in the environment recog...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/1/016012
更新日期:2015-02-01 00:00:00
abstract:OBJECTIVE:The use of natural sounds in auditory Brain-Computer Interfaces (BCI) has been shown to improve classification results and usability. Some auditory BCIs are based on stream segregation, in which the subjects must attend one audio stream and ignore the other(s); these streams include some kind of stimuli to be...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abdd44
更新日期:2021-01-19 00:00:00
abstract:OBJECTIVE:Brain-computer interfaces (BCIs) are confronted with two fundamental challenges: (a) the uncertainty associated with decoding noisy brain signals, and (b) the need for co-adaptation between the brain and the interface so as to cooperatively achieve a common goal in a task. We seek to mitigate these challenges...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/6/066008
更新日期:2013-12-01 00:00:00
abstract::A motor imagery based brain-computer interface (BCI) provides a non-muscular communication channel that enables people with paralysis to control external devices using their motor imagination. Reducing the number of electrodes is critical to improving the portability and practicability of the BCI system. A novel metho...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/5/3/007
更新日期:2008-09-01 00:00:00
abstract::In models of electrical stimulation of the nervous system, the electric potential is typically calculated using the quasi-static approximation. The quasi-static approximation allows Maxwell's equations to be simplified by ignoring capacitive, inductive and wave propagation contributions to the potential. While this si...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/5/1/005
更新日期:2008-03-01 00:00:00
abstract:OBJECTIVE:The clinical use of microsignals recorded over broad cortical regions is largely limited by the chronic reliability of the implanted interfaces. APPROACH:We evaluated the chronic reliability of novel 61-channel micro-electrocorticographic (µECoG) arrays in rats chronically implanted for over one year and usi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae39d
更新日期:2018-12-01 00:00:00
abstract::This paper describes the technological developments underlying the realization of a reliable and reproducible microchip-based stimulator with a large number of stimulus electrodes. A microchip-based stimulator with over 500 electrodes for suprachoroidal transretinal stimulation (STS) is proposed in this paper, and an ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/4/1/S10
更新日期:2007-03-01 00:00:00
abstract::In this work the application of different machine learning techniques for classification of mental tasks from electroencephalograph (EEG) signals is investigated. The main application for this research is the improvement of brain computer interface (BCI) systems. For this purpose, Bayesian graphical network, neural ne...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/3/2/008
更新日期:2006-06-01 00:00:00
abstract::Extracellular metal microelectrodes are widely used to record single neuron activity in vivo. However, their signal-to-noise ratio (SNR) is often far from optimal due to their high impedance value. It has been recently reported that carbon nanotube (CNT) coatings may decrease microelectrode impedance, thus improving t...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/6/066013
更新日期:2011-12-01 00:00:00
abstract:OBJECTIVE:The objective of this work is to present gumpy, a new free and open source Python toolbox designed for hybrid brain-computer interface (BCI). APPROACH:Gumpy provides state-of-the-art algorithms and includes a rich selection of signal processing methods that have been employed by the BCI community over the la...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae186
更新日期:2018-12-01 00:00:00
abstract:OBJECTIVE:The fact that all human action is preceded by brain processes partially observable through neuroimaging devices such as electroencephalography (EEG) is currently being explored in a number of applications. A recent study by Haufe et al (2011 J. Neural Eng. 8 056001) demonstrates the possibility of performing ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/5/056011
更新日期:2014-10-01 00:00:00
abstract:OBJECTIVE:Given the rapid expansion of the field of neural stimulation and the rigorous regulatory approval requirements required before these devices can be applied clinically, it is important that there is clarity around conducting preclinical safety and efficacy studies required for the development of this technolog...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aac43c
更新日期:2018-08-01 00:00:00
abstract:OBJECTIVE:It is known that multi-site interleaved stimulation generates less muscle fatigue compared to single-site synchronous stimulation. However, in the limited number of studies in which intramuscular electrodes were used, the fatigue reduction associated with interleaved stimulation could not consistently be achi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aba99e
更新日期:2020-08-25 00:00:00
abstract:OBJECTIVE:Despite their increasing use and public health importance, little is known about the consistency and variability of the quantitative features of baseline electroencephalography (EEG) measurements in healthy individuals and populations. This study aims to investigate population consistency of EEG features. AP...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab4af3
更新日期:2019-11-12 00:00:00
abstract::In this work, we proposed a novel architecture for real-time quantitative characterization of functional brain connectivity networks derived from Electroencephalogram (EEG). It consists of two main parts - calculation of Phase Lag Index (PLI) to form the functional connectivity networks and the extraction of a set of ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd462
更新日期:2020-12-16 00:00:00
abstract::We investigated the relationships of the firing rate and maximal recruitment threshold of motoneurons recorded during isometric contraction with the number of spindles in individual muscles. At force levels above 10% of maximal voluntary contraction, the firing rate was inversely related to the number of spindles in a...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/9/1/016007
更新日期:2012-02-01 00:00:00
abstract:OBJECTIVE:The majority of near-infrared spectroscopy (NIRS) brain-computer interface (BCI) studies have investigated binary classification problems. Limited work has considered differentiation of more than two mental states, or multi-class differentiation of higher-level cognitive tasks using measurements outside of th...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/6/066008
更新日期:2015-12-01 00:00:00
abstract:OBJECTIVE:Reliable chronic recordings from implanted neural probes remain a significant challenge; current silicon-based and microwire technologies experience a wide range of biotic and abiotic failure modes contributing to loss of signal quality. APPROACH:A multi-prong alternative strategy with potential to overcome ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/4/045002
更新日期:2013-08-01 00:00:00
abstract::The objective of this work is to develop and test a photovoltaic retinal prosthesis for restoring sight to patients blinded by degenerative retinal diseases. A silicon photodiode array for subretinal stimulation has been fabricated by a silicon-integrated-circuit/MEMS process. Each pixel in the two-dimensional array c...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/9/4/046014
更新日期:2012-08-01 00:00:00
abstract:OBJECTIVE:Patients with amyotrophic lateral sclerosis (ALS) may benefit from brain-computer interfaces (BCI), but the utility of such devices likely will have to account for the functional, cognitive, and behavioral heterogeneity of this neurodegenerative disorder. APPROACH:In this study, a heterogeneous group of pati...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/2/026002
更新日期:2016-04-01 00:00:00
abstract:OBJECTIVE:State of the art brain-computer interface (BCI) research focuses on improving individual components such as the application or the decoder that converts the user's brain activity to control signals. In this study, we investigate the interaction between these components in the P300 speller, a BCI for communica...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/6/066027
更新日期:2015-12-01 00:00:00
abstract::This paper presents a wheelchair navigation system based on a hidden Markov model (HMM), which we developed to assist those with restricted mobility. The semi-autonomous system is equipped with obstacle/collision avoidance sensors and it takes the electrooculography (EOG) signal traces from the user as commands to man...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/5/056018
更新日期:2014-10-01 00:00:00
abstract:OBJECTIVE:Damage to the brain, as a result of various medical conditions, impacts the everyday life of patients and there is still no complete cure to neurological disorders. Neuroprostheses that can functionally replace the damaged neural circuit have recently emerged as a possible solution to these problems. Here we ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa98e9
更新日期:2018-02-01 00:00:00
abstract:OBJECTIVE:The various parameters that define a hand movement such as its trajectory, speed, etc, are encoded in distinct brain activities. Decoding this information from neurophysiological recordings is a less explored area of brain-computer interface (BCI) research. Applying non-invasive recordings such as electroence...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/6/066019
更新日期:2015-12-01 00:00:00
abstract:OBJECTIVE:The generalization and robustness of an electroencephalogram (EEG)-based system are crucial requirements in actual practices. APPROACH:To reach these goals, we propose a new EEG representation that provides a more realistic view of brain functionality by applying multi-instance (MI) framework to consider the...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab0dad
更新日期:2019-06-01 00:00:00
abstract:OBJECTIVE:Two-dimensional (2D) movement control is an important issue in brain-computer interfaces (BCIs) research because being able to move, for example, a cursor with the brain will enable patients with motor disabilities to control their environment. However, it is still a challenge to continuously control 2D movem...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/4/046021
更新日期:2015-08-01 00:00:00