Abstract:
:One of the most important stages in a brain-computer interface (BCI) system is that of extracting features that can reliably discriminate data recorded during different user states. A popular technique used for feature extraction in BCIs is the common spatial patterns (CSP) method, which provides a set of spatial filters that optimally discriminate between two classes of data in the least-squares sense. The method also yields a set of spatial patterns that are associated with the most relevant activity for distinguishing between the two classes. The high recognition rates that have been achieved with the method have led to its widespread adoption in the field. Here, a variant of the CSP method that considers EEG data in its complex form is described. By explicitly considering the amplitude and phase information in the data, the analytic CSP (ACSP) technique can provide a more comprehensive picture of the underlying activity, resulting in improved classification accuracies and more informative spatial patterns than the conventional CSP method. In this paper, we elaborate on the theoretical aspects of the ACSP algorithm and demonstrate the advantages of the method through a number of simulations and through tests on EEG data.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Falzon O,Camilleri KP,Muscat Jdoi
10.1088/1741-2560/9/4/045009subject
Has Abstractpub_date
2012-08-01 00:00:00pages
045009issue
4eissn
1741-2560issn
1741-2552journal_volume
9pub_type
杂志文章abstract:OBJECTIVE:Artificial proprioceptive feedback from a myoelectric prosthesis is an important aspect in enhancing embodiment and user satisfaction, possibly lowering the demand for visual attention while controlling a prosthesis in everyday tasks. Contemporary myoelectric prostheses are advanced mechatronic systems with m...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aba4fd
更新日期:2020-08-14 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:When developing approaches for automatic preprocessing of electroencephalogram (EEG) signals in non-isolated demanding environment such as intensive care unit (ICU) or even outdoor environment, one of the major concerns is varying nature of characteristics of different artifacts in time, frequency and spatial...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abb5bd
更新日期:2020-10-15 00:00:00
abstract:OBJECTIVE:Implantable retinal prostheses aim to provide artificial vision to those suffering from retinal degenerative diseases by electrically stimulating the remaining retinal neurons using a multi-electrode array. The spatial resolution of these devices can be improved by creation of so-called virtual channels (VCs)...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abc3a9
更新日期:2020-10-21 00:00:00
abstract::Functional electrical stimulation (FES), the coordinated electrical activation of multiple muscles, has been used to restore arm and hand function in people with paralysis. User interfaces for such systems typically derive commands from mechanically unrelated parts of the body with retained volitional control, and are...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/3/034003
更新日期:2011-06-01 00:00:00
abstract:OBJECTIVE:The vision of bioelectronic medicine is to treat disease by modulating the signaling of visceral nerves near various end organs. In small animal models, the nerves of interest can have small diameters and limited surgical access. New high-resolution methods for building nerve interfaces are desirable. In this...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa5a5b
更新日期:2017-06-01 00:00:00
abstract:OBJECTIVE:We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applications in neural mapping and neural connectivity estimation. APPROACH:We...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/6/066011
更新日期:2015-12-01 00:00:00
abstract::Repositioning microelectrodes post-implantation is emerging as a promising approach to achieve long-term reliability in single neuronal recordings. The main goal of this study was to (a) assess glial reaction in response to movement of microelectrodes in the brain post-implantation and (b) determine an optimal window ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/4/046004
更新日期:2009-08-01 00:00:00
abstract::Adaptive model theory (AMT) is a computational theory that addresses the difficult control problem posed by the musculoskeletal system in interaction with the environment. It proposes that the nervous system creates motor maps and task-dependent synergies to solve the problems of redundancy and limited central resourc...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2560/2/3/S10
更新日期:2005-09-01 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:Brains, like other physical devices, are inherently noisy. This source of variability is large, to the extent that internal noise often impacts human sensory processing more than externally induced (stimulus-driven) perturbations. Despite the fundamental nature of this phenomenon, its statistical distribution...
journal_title:Journal of neural engineering
pub_type: 杂志文章,随机对照试验
doi:10.1088/1741-2560/10/1/016014
更新日期:2013-02-01 00:00:00
abstract::We conducted an experiment to determine whether the rhythm with which imagined syllables are produced may be decoded from EEG recordings. High density EEG data were recorded for seven subjects while they produced in imagination one of two syllables in one of three different rhythms. We used a modified second-order bli...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/7/4/046006
更新日期:2010-08-01 00:00:00
abstract::To properly observe induced connectivity changes after training sessions, one needs a network model that describes individual relationships in sufficient detail to enable observation of induced changes and yet reveals some kind of stability in these relationships. We analyzed spontaneous firing activity in dissociated...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/4/2/006
更新日期:2007-06-01 00:00:00
abstract:OBJECTIVE:Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aaee9c
更新日期:2019-02-01 00:00:00
abstract:OBJECTIVE:Multimodal neuroimaging approaches are beneficial to discover brain functionalities at high spatial and temporal resolution. In our work, a novel material composition of a microECoG device relying on Parylene HT and indium-tin-oxide (ITO) is presented, which facilitates two-photon imaging of Ca2+ signals and ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab603f
更新日期:2020-02-18 00:00:00
abstract:OBJECTIVE:Among electrophysiological signals, local field potentials (LFPs) are extensively used to study brain activity, either in vivo or in vitro. LFPs are recorded with extracellular electrodes implanted in brain tissue. They reflect intermingled excitatory and inhibitory processes in neuronal assemblies. In cortic...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aafbfb
更新日期:2019-04-01 00:00:00
abstract::Alzheimer's disease (AD) is the most common cause of dementia. Over the last few years, a considerable effort has been devoted to exploring new biomarkers. Nevertheless, a better understanding of brain dynamics is still required to optimize therapeutic strategies. In this regard, the characterization of mild cognitive...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/9/3/036007
更新日期:2012-06-01 00:00:00
abstract:OBJECTIVE:Powered robotic prostheses create a need for natural-feeling user interfaces and robust control schemes. Here, we examined the ability of a nonlinear autoregressive model to continuously map the kinematics of a transtibial prosthesis and electromyographic (EMG) activity recorded within socket to the future es...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/11/5/056027
更新日期:2014-10-01 00:00:00
abstract:OBJECTIVE:Recent advances in neural engineering have restored mobility to people with paralysis, relieved symptoms of movement disorders, reduced chronic pain, restored the sense of hearing, and provided sensory perception to individuals with sensory deficits. APPROACH:This progress was enabled by the team-based, inte...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/ab4869
更新日期:2019-11-12 00:00:00
abstract:OBJECTIVE:We implemented computational models of human and rat cortical neurons for simulating the neural response to cortical stimulation with electromagnetic fields. APPROACH:We adapted model neurons from the library of Blue Brain models to reflect biophysical and geometric properties of both adult rat and human cor...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aadbb1
更新日期:2018-12-01 00:00:00
abstract:OBJECTIVE:Electrocorticography (ECoG) based studies generally analyze features from specific frequency bands selected by manual evaluation of spectral power. However, the definition of these features can vary across subjects, cortical areas, tasks and across time for a given subject. We propose an autoencoder based app...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aaf13f
更新日期:2019-02-01 00:00:00
abstract:OBJECTIVE:Most brain-computer interfaces (BCIs) based on functional near-infrared spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental arithmetic, or music imagery to convey a message or to answer simple yes or no questions. These cognitive tasks usually have no direct association ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae4b9
更新日期:2019-02-01 00:00:00
abstract::Spastic hypertonus (muscle over-activity due to exaggerated stretch reflexes) often develops in people with stroke, cerebral palsy, multiple sclerosis and spinal cord injury. Lesioning of nerves, e.g. with phenol or botulinum toxin is widely performed to reduce spastic hypertonus. We have explored the use of direct el...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/1/016005
更新日期:2011-02-01 00:00:00
abstract::In the study of the spreading depression (SD) wave phenomenon and its dynamics, it is necessary to describe the ionic movements along the extracellular space, as well as between this and the intracellular space. In both cases, the ionic movement includes a double coupling involving the concentration and the potential ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/1/2/007
更新日期:2004-06-01 00:00:00
abstract::Brain-computer interfaces (BCIs) can use brain signals from the scalp (EEG), the cortical surface (ECoG), or within the cortex to restore movement control to people who are paralyzed. Like muscle-based skills, BCIs' use requires activity-dependent adaptations in the brain that maintain stable relationships between the...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/7/3/036007
更新日期:2010-06-01 00:00:00
abstract:OBJECTIVE:Signal attenuation is a major problem facing intracortical sensors for chronic neuroprosthetic applications. Many studies suggest that failure is due to gliosis around the electrode tips, however, mechanical and material causes of failure are often overlooked. The purpose of this study was to investigate the ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/2/026003
更新日期:2016-04-01 00:00:00
abstract::Brain-computer interface (BCI) systems allow people with severe motor disabilities to communicate and interact with the external world. The P300 potential is one of the most used control signals for EEG-based BCIs. Classic P300-based BCIs work in a synchronous mode; the synchronous control assumes that the user is con...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/2/025025
更新日期:2011-04-01 00:00:00
abstract::Neural activity can be modulated by applying a polarizing low-frequency (<100 Hz) electric field (PLEF). Unlike conventional pulsed stimulation, PLEF stimulation has a graded, modulatory effect on neuronal excitability, and permits the simultaneous recording of neuronal activity during stimulation suitable for continu...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/4/046009
更新日期:2009-08-01 00:00:00
abstract:OBJECTIVE:Brain-computer interfaces (BCI) are becoming important tools for assistive technology, particularly through the use of motor imagery (MI) for aiding task completion. However, most existing methods of MI classification have been applied in a trial-wise fashion, with window sizes of approximately 2 s or more. A...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab57c0
更新日期:2020-01-31 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