Abstract:
OBJECTIVE:Sleep spindles in the electroencephalogram (EEG) are significant in sleep analysis related to cognitive functions and neurological diseases, and thus are of great clinical interests. An automatic sleep spindle detection algorithm could help decrease the workload of visual inspection by sleep clinicians. APPROACH:We propose a robust two-stage approach for sleep spindle detection using single-channel EEG. In the pre-detection stage, a stable number of sleep spindle candidates are discovered using the Teager energy operator with adaptive parameters, where the number of true sleep spindles are ensured as many as possible to maximize the detection sensitivity. In the refinement stage, representative features are designed and a bagging classifier is exploited to further recognize the true spindles from all candidates, in order to remove the false detection in the first stage. MAIN RESULTS:Using the union of all experts' annotations as the ground truth, its performance outperforms state-of-the-art works in terms of F1-score on two public databases (F1-score: 0.814 for MASS dataset and 0.690 for DREAMS dataset). The annotation consistency between the proposed method and certain selected expert as the trainer could exceed the consistency between two human experts. SIGNIFICANCE:The proposed sleep spindle detection method is based on single-channel EEG thus introduces as less interference to the subjects as possible. It is robust to subject variations between databases and is capable of learning certain annotation rules, which is expected to help facilitate the manual labelling of certain experts. In addition, this method is fast enough for real-time applications.
journal_name
J Neural Engjournal_title
Journal of neural engineeringauthors
Jiang D,Ma Y,Wang Ydoi
10.1088/1741-2552/abd463subject
Has Abstractpub_date
2020-12-16 00:00:00eissn
1741-2560issn
1741-2552pub_type
杂志文章abstract::We consider the problem of desynchronizing a network of synchronized, globally (all-to-all) coupled neurons using an input to a single neuron. This is done by applying the discrete time dynamic programming method to reduced phase models for neural populations. This technique numerically minimizes a certain cost functi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/8/6/065008
更新日期:2011-12-01 00:00:00
abstract:OBJECTIVE:We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training. APPROACH:The CNN was trained...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab6a67
更新日期:2020-04-08 00:00:00
abstract:OBJECTIVE:The objective of this study was to compare the use of muscles appropriate for partial-hand prostheses with those typically used for complete hand devices and to determine whether differences in their underlying neural substrates translate to different levels of myoelectric control. APPROACH:We developed a no...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aacbfe
更新日期:2018-10-01 00:00:00
abstract:OBJECTIVE:Recording of neural signals from intact peripheral nerves in patients with spinal cord injury or stroke survivors offers the possibility for the development of closed-loop sensorimotor prostheses. Nerve cuffs have been found to provide stable recordings from peripheral nerves for prolonged periods of time. Ho...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aabca0
更新日期:2018-08-01 00:00:00
abstract:OBJECTIVE:Assessing an infant's brain development remains a challenge for neuroscientists and pediatricians despite great technological advances. As a non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has great advantages in monitoring an infant's brain activity. To explore the dynamic featu...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aae0c9
更新日期:2018-12-01 00:00:00
abstract::The gait outcome measures used in clinical trials of paraplegic locomotor training determine the effectiveness of improved walking function assisted by the functional electrical stimulation (FES) system. Focused on kinematic, kinetic or physiological changes of paraplegic patients, traditional methods cannot quantify ...
journal_title:Journal of neural engineering
pub_type: 临床试验,杂志文章
doi:10.1088/1741-2560/6/6/066007
更新日期:2009-12-01 00:00:00
abstract:OBJECTIVE:Ultrasounds (US) use in neural engineering is so far mainly limited to ablation through high intensity focused ultrasound, but interesting preliminary results show that low intensity low frequency ultrasound could be used instead to modulate neural activity. However, the extent of this modulatory ability of U...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abae8b
更新日期:2020-10-14 00:00:00
abstract:OBJECTIVE:Fractional calculus plays a key role in the analysis of neural dynamics. In particular, fractional calculus has been recently exploited for analyzing complex biological systems and capturing intrinsic phenomena. Also, artificial neural networks have been shown to have complex neuronal dynamics and characteris...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab8dd6
更新日期:2020-06-12 00:00:00
abstract:OBJECTIVE:In biomagnetic signal processing, the theory of the signal subspace has been applied to removing interfering magnetic fields, and a representative algorithm is the signal space projection algorithm, in which the signal/interference subspace is defined in the spatial domain as the span of signal/interference-s...
journal_title:Journal of neural engineering
pub_type: 杂志文章,评审
doi:10.1088/1741-2552/aa7693
更新日期:2017-10-01 00:00:00
abstract:OBJECTIVE:Dry electrodes have an advantage over gel-based 'wet' electrodes by providing quicker set-up time for electroencephalography recording; however, the potentially poorer contact can result in noisier recordings. We examine the impact that this may have on brain-computer interface communication and potential app...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/6/066018
更新日期:2016-12-01 00:00:00
abstract::All of the human prosthetic visual systems implanted so far have been achromatic. Schmidt et al. (1996) reported that at low stimulation intensities their subject reported that phosphenes usually had a specific hue, but when the stimulus intensity was increased, they desaturated to white. We speculate here that previo...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abd520
更新日期:2020-12-18 00:00:00
abstract:OBJECTIVE:Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes motor imagery (MI) of leg flexion and extension. APPROACH:We execute...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aa7df9
更新日期:2017-10-01 00:00:00
abstract::Improving cortical prostheses requires the development of recording neural interfaces that are efficient in terms of providing maximal control information with minimal interface complexity. While the typical approaches have targeted neurons in the motor cortex with multiple penetrating shanks, an alternative approach ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/2/026004
更新日期:2009-04-01 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:OBJECTIVE:Low-intensity focused ultrasound stimulation (LIFUS) emerges as an attracting technology for noninvasive modulation of neural circuits, yet the underlying action mechanisms remain unclear. The neuronal intramembrane cavitation excitation (NICE) model suggests that LIFUS excites neurons through a complex inter...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab1685
更新日期:2019-08-01 00:00:00
abstract:OBJECTIVE:The Subthalamic Nucleus (STN) is the most selected target for the placement of the Deep Brain Stimulation (DBS) electrode to treat Parkinson's disease. Its identification is a delicate and challenging task which is based on the interpretation of the STN functional activity acquired through microelectrode reco...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abcb15
更新日期:2020-11-17 00:00:00
abstract::In a recent paper by Bradberry, Gentili and Contreras-Vidal published in Journal of Neural Engineering (2011, 8 036010), an interesting method for the control of a two-dimensional mouse cursor was proposed, which apparently attained excellent control and good speed with relatively simple techniques. We believe some of...
journal_title:Journal of neural engineering
pub_type: 评论,杂志文章
doi:10.1088/1741-2560/8/5/058001
更新日期:2011-10-01 00:00:00
abstract:OBJECTIVE:While the positive correlation between impedance and noise of microelectrodes is well known, their quantitative relationship is too rarely described. Knowledge of this relationship provides useful information for both microsystems engineers and electrophysiologists. APPROACH:We discuss the physical basis of ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/abb3b4
更新日期:2020-10-15 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:Wireless control and power harvesting systems that operate injectable, cellular-scale optoelectronic components provide important demonstrated capabilities in neuromodulatory techniques such as optogenetics. Here, we report a radio frequency (RF) control/harvesting device that offers dramatically reduced size...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/12/5/056002
更新日期:2015-10-01 00:00:00
abstract:OBJECTIVE:A visual stimulator plays a vital part in brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP). The properties of visual stimulation, such as frequency, color, and waveform, will influence SSVEP-based BCI performance to some extent. Recently, the computer monitor serves as a ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab2b7d
更新日期:2019-10-10 00:00:00
abstract:OBJECTIVE:To determine whether the estimated fraction and degree of distribution of visual responsive neurons in human intracranial microwire recordings depends upon the spike sorting method used. APPROACH:A large dataset of human intracranial microwire recordings from four brain areas was sorted into single unit acti...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/ab6cb8
更新日期:2020-04-09 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:Analyzing and interpreting the activity of a heterogeneous population of neurons can be challenging, especially as the number of neurons, experimental trials, and experimental conditions increases. One approach is to extract a set of latent variables that succinctly captures the prominent co-fluctuation patte...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/6/066012
更新日期:2013-12-01 00:00:00
abstract:OBJECTIVE:Previous studies have shown that single-frequency impedance measurements could provide useful information about the distance between the neuroprosthesis and the retina. This work investigates the use of impedance spectroscopy in monitoring subretinal implantations of flexible micro-electrode arrays and focuse...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/10/4/046002
更新日期:2013-08-01 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:Depression is a severe mental disorder. However, the neural mechanisms underlying affective interference (difficulties in directing attention away from negative distractors) in depression patients are still not well-understood. In particular, the connections between brain regions remain unclear. Using the emo...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aacdbb
更新日期:2018-10-01 00:00:00
abstract:OBJECTIVE:The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and the realization of the spiking model on low-power neuromorphic hardwar...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2552/aafabc
更新日期:2019-04-01 00:00:00
abstract::Golgi tendon organs (GTOs) located in the skeletal muscles provide the central nervous system with information about muscle tension. The ensemble firing of all GTO receptors in the muscle has been hypothesized to represent a reliable measure of the whole muscle force but the precision and accuracy of that information ...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/6/3/036001
更新日期:2009-06-01 00:00:00
abstract:OBJECTIVE:Current mapping of epileptic networks in patients prior to epilepsy surgery utilizes electrode arrays with sparse spatial sampling (∼1.0 cm inter-electrode spacing). Recent research demonstrates that sub-millimeter, cortical-column-scale domains have a role in seizure generation that may be clinically signifi...
journal_title:Journal of neural engineering
pub_type: 杂志文章
doi:10.1088/1741-2560/13/2/026015
更新日期:2016-04-01 00:00:00