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Journal of Neural Engineering

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https://www.readbyqxmd.com/read/28102833/a-multimodal-approach-to-estimating-vigilance-using-eeg-and-forehead-eog
#1
Wei-Long Zheng, Baoliang Lu
OBJECTIVE: Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. APPROACH: The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28102827/a-low-cost-scalable-current-sensing-digital-headstage-for-high-channel-count-%C3%A2%C2%B5ecog
#2
Michael Trumpis, Michele Insanally, Jialin Zou, Ashraf ElSharif, Ali Ghomashchi, N Sertac Artan, Robert Froemke, Jonathan Viventi
OBJECTIVE: High channel count electrode arrays allow for the monitoring of large-scale neural activity at high spatial resolution. Implantable arrays featuring many recording sites require compact, high bandwidth front-end electronics. In the present study, we investigated the use of a small, light weight, and low cost digital current-sensing integrated circuit for acquiring cortical surface signals from a 61-channel micro-electrocorticographic (��ECoG) array. APPROACH: We recorded both acute and chronic ��ECoG signal from rat auditory cortex using our novel digital current-sensing headstage...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28102825/versatile-modular-three-dimensional-microelectrode-arrays-for-neuronal-ensemble-recordings-from-design-to-fabrication-assembly-and-functional-validation-in-non-human-primates
#3
Falk Barz, Alessandro Livi, Marco Lanzilotto, Monica Maranesi, Luca Bonini, Oliver Paul, Patrick Ruther
<i>Objective. </i>Application-specific designs of electrode arrays offer an improved effectiveness for providing access to targeted brain regions in neuroscientific research and brain machine interfaces. The simultaneous and stable recording of neuronal ensembles is the main goal in the design of advanced neural interfaces. Here, we describe the development and assembly of highly customizable three-dimensional microelectrode arrays and demonstrate their recording performance in chronic applications in non-human primates...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28102177/erratum-an-action-potential-driven-model-of-soleus-muscle-activation-dynamics-for-locomotor-like-movements-2015-j-neural-eng-12-046025
#4
Hojeong Kim, Thomas Sandercock, C Heckman
We published our study on modelling ans simulation of force production in cat soleus muscles during locomotor-like movements. Unfortunately, we recently found several typographical errors in equation (15), table 1 and figure 3E in the published paper. Those errors arose from mistakes on our part during transitioning of our manuscript from the paper to electronic version. We have confirmed that correction of our errors does not influence any simulation results and conclusions published in our paper. However, we think that the errors and their corrections should be noticed publically to prevent the readers from having difficulties in implementing our muscle model...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28098561/decoding-of-intended-saccade-direction-in-an-oculomotor-brain-computer-interface
#5
Nan Jia, Scott Brincat, Andrés Salazar-Gómez, Mikhail Panko, Frank Guenther, Earl Miller
OBJECTIVE: To date, invasive brain-computer interface (BCI) research has largely focused on replacing lost limb functions using signals from of hand/arm areas of motor cortex. However, the oculomotor system may be better suited to BCI applications involving rapid serial selection from spatial targets, such as choosing from a set of possible words displayed on a computer screen in an augmentative and alternative communication (AAC) application. Here we aimed to demonstrate the feasibility of a BCI utilizing the oculomotor system...
January 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28094764/neuromorphic-meets-neuromechanics-part-ii-the-role-of-fusimotor-drive
#6
Kian Jalaleddini, Chuanxin Niu, Suraj Chakravarthi Raja, Won Joon Sohn, Gerald Loeb, Terence Sanger, Francisco Valero-Cuevas
OBJECTIVE: We studied the fundamentals of muscle afferentation by building a neuro-mechano-morphic system actuating a cadaveric finger. This system is a faithful implementation of the stretch reflex circuitry. It allowed the systematic exploration of the effects of different fusimotor drives to the muscle spindle on the closed-loop stretch reflex response. APPROACH: As in Part I of this work, sensory neurons conveyed proprioceptive information from muscle spindles (with static and dynamic fusimotor drive) to populations of ��-motor neurons (with recruitment and rate coding properties)...
January 17, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28091397/a-novel-stimulation-method-for-multi-class-ssvep-bci-using-intermodulation-frequencies
#7
Xiaogang Chen, Yijun Wang, Shangen Zhang, Shangkai Gao, Yong Hu, Xiaorong Gao
OBJECTIVE: Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has been widely investigated because of its easy system configuration, high information transfer rate (ITR) and little user training. However, due to the limitations of brain responses and the refresh rate of a monitor, the available stimulation frequencies for practical BCI application are generally restricted. APPROACH: This study introduced a novel stimulation method using intermodulation frequencies for SSVEP-BCIs that had targets flickering at the same frequency but with different additional modulation frequencies...
January 16, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28085005/potential-of-human-dental-stem-cells-in-repairing-the-complete-transection-of-rat-spinal-cord
#8
Chao Yang, Xinghan Li, Liang Sun, Weihua Guo, Weidong Tian
OBJECTIVE: Adult spinal cord of mammals contains a certain amount of neural precursor cells���but these endogenous cells have a limited capacity for replacement of lost cells after spinal cord injury. The exogenous stem cells transplantation has become a therapeutic strategy for spinal cord repairing because of their immunomodulatory and differentiation capacity. In addition, dental stem cells originating from the cranial neural crest might be candidate cell sources for neural engineering...
January 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28084217/neuromorphic-meets-neuromechanics-part-i-the-methodology-and-implementation
#9
Chuanxin Minos Niu, Kian Jalaleddini, Won Joon Sohn, John Rocamora, Terence Sanger, Francisco Valero-Cuevas
OBJECTIVE: One goal of neuromorphic engineering is to create ���realistic��� robotic systems that interact with the physical world by adopting neuromechanical principles from biology. Critical to this is the methodology to implement the spinal circuitry responsible for the behavior of afferented muscles. At its core, muscle afferentation is the closed-loop behavior arising from the interactions among populations of muscle spindle afferents, alpha and gamma motoneurons, and muscle fibers to enable useful behaviors...
January 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28079030/neuromusculoskeletal-model-self-calibration-for-on-line-sequential-bayesian-moment-estimation
#10
Diana Ruiz Bueno, Luis Montano
OBJECTIVE: Neuromusculoskeletal models involve many subject-specific physiological parameters that need to be adjusted to adequately represent muscle properties. Traditionally, neuromusculoskeletal models have been calibrated with a forward-inverse dynamic optimization which is time-consuming and unfeasible for rehabilitation therapy. Non self-calibration algorithms have been applied to these models. To the best of our knowledge, the algorithm proposed in this work is the first on-line calibration algorithm for muscle models that allows a generic model to be adjusted to different subjects in a few steps...
January 12, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28071599/unsupervised-frequency-recognition-method-of-ssveps-using-a-filter-bank-implementation-of-binary-subband-cca
#11
Md Rabiul Islam, Md Molla, Masaki Nakanishi, Toshihisa Tanaka
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, as the number of commands increases. This paper develops a novel unsupervised method based on canonical correlation analysis (CCA) for accurate detection of stimulus frequency. APPROACH: A novel unsupervised technique termed as binary subband CCA (BsCCA) is implemented in a multiband approach to enhance the frequency recognition performance of SSVEP...
January 10, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28071593/a-lightweight-feedback-controlled-microdrive-for-chronic-neural-recordings
#12
Aleksander Jovalekic, Sophie Cave Lopez, Alessandro Canopoli, Janie Ondracek, Aymeric Nager, Alexei Vyssotski, Richard Hans Robert Hahnloser
OBJECTIVE: Chronic neural recordings have provided many insights into the relationship between neural activity and behavior. We set out to develop a miniaturized motorized microdrive that allows precise electrode positioning despite possibly unreliable motors. APPROACH: We designed a feedback-based motor control mechanism. It contains an integrated position readout from an array of magnets and a Hall sensor. MAIN RESULTS: Our extremely lightweight (<1 g) motorized microdrive allows remote positioning of both metal electrodes and glass pipettes along one motorized axis...
January 10, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28068295/support-vector-machines-to-detect-physiological-patterns-for-eeg-and-emg-based-human-computer-interaction-a-review
#13
L R Quitadamo, F Cavrini, L Sbernini, F Riillo, L Bianchi, S Seri, G Saggio
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature, insufficient details about the SVM implementation and/or parameters selection are reported, making it impossible to reproduce study analysis and results. In order to perform an optimized classification and report a proper description of the results, it is necessary to have a comprehensive critical overview of the applications of SVM...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28068293/a-hybrid-bmi-based-exoskeleton-for-paresis-emg-control-for-assisting-arm-movements
#14
Toshihiro Kawase, Takeshi Sakurada, Yasuharu Koike, Kenji Kansaku
OBJECTIVE: Brain-machine interface (BMI) technologies have succeeded in controlling robotic exoskeletons, enabling some paralyzed people to control their own arms and hands. We have developed an exoskeleton asynchronously controlled by EEG signals. In this study, to enable real-time control of the exoskeleton for paresis, we developed a hybrid system with EEG and EMG signals, and the EMG signals were used to estimate its joint angles. APPROACH: Eleven able-bodied subjects and two patients with upper cervical spinal cord injuries (SCIs) performed hand and arm movements, and the angles of the metacarpophalangeal (MP) joint of the index finger, wrist, and elbow were estimated from EMG signals using a formula that we derived to calculate joint angles from EMG signals, based on a musculoskeletal model...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28068287/extracellular-matrix-proteins-as-temporary-coating-for-thin-film-neural-implants
#15
Frederik Ceyssens, Marjolijn Deprez, Neill Turner, Dries Kil, Kris van Kuyck, Marleen Welkenhuysen, Bart Nuttin, Stephen Badylak, Robert Puers
OBJECTIVE: This study investigates the suitability of a thin sheet of extracellular matrix (ECM) proteins as a resorbable coating for temporarily reinforcing fragile or ultra-low stiffness thin-film neural implants to be placed on the brain, i.e. microelectrocorticographic (µECOG) implants. APPROACH: Thin-film polyimide-based electrode arrays were fabricated using lithographic methods. ECM was harvested from porcine tissue by a decellularization method and coated around the arrays...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28050973/behavioral-state-classification-in-epileptic-brain-using-intracranial-electrophysiology
#16
Vaclav Kremen, Juliano J Duque, Benjamin H Brinkmann, Brent M Berry, Michal T Kucewicz, Fatemeh Khadjevand, Jamie Van Gompel, Matt Stead, Erik K St Louis, Gregory A Worrell
OBJECTIVE: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery. APPROACH: Data from seven patients (age [Formula: see text], 4 women) who underwent intracranial depth electrode implantation for iEEG monitoring were included...
January 4, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28045002/topographic-prominence-discriminator-for-the-detection-of-short-latency-spikes-of-retinal-ganglion-cells
#17
Myoung-Hwan Choi, Jungryul Ahn, Daejin Park, Sang Min Lee, Kwangsoo Kim, Dong-Il Cho, Solomon Senok, Kyo-In Koo, Yongsook Goo
<i>Objective</i>: Direct stimulation of retinal ganglion cells in degenerate retinas by implanting epi-retinal prostheses is a recognized strategy for restoration of visual perception in patients with retinitis pigmentosa or age-related macular degeneration. Elucidating the best stimulus-response paradigms in the laboratory using multielectrode arrays (MEA) is complicated by the fact that the short-latency spikes (within 10 ms) elicited by direct retinal ganglion cell (RGC) stimulation are obscured by the stimulus artifact which is generated by the electrical stimulator...
January 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28004644/enhancing-performance-of-a-motor-imagery-based-brain-computer-interface-by-incorporating-electrical-stimulation-induced-sssep
#18
Weibo Yi, Shuang Qiu, Kun Wang, Hongzhi Qi, Xin Zhao, Feng He, Peng Zhou, Jiajia Yang, Dong Ming
OBJECTIVE: We proposed a novel simultaneous hybrid brain-computer interface (BCI) by incorporating electrical stimulation into a motor imagery (MI) based BCI system. The goal of this study was to enhance the overall performance of an MI-based BCI. In addition, the brain oscillatory pattern in the hybrid task was also investigated. APPROACH: 64-channel electroencephalographic (EEG) data were recorded during MI, selective attention (SA) and hybrid tasks in fourteen healthy subjects...
December 22, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28000616/use-of-spatiotemporal-templates-for-pathway-discrimination-in-peripheral-nerve-recordings-a-simulation-study
#19
Ryan G L Koh, Adrian I Nachman, José Zariffa
OBJECTIVE: Extraction of information from the peripheral nervous system can provide control signals in neuroprosthetic applications. However, the ability to selectively record from different pathways within peripheral nerves is limited. We investigated the integration of spatial and temporal information for pathway discrimination in peripheral nerves using measurements from a multi-contact nerve cuff electrode. APPROACH: Spatiotemporal templates were established for different neural pathways of interest, and used to obtain tailored matched filters for each of these pathways...
December 21, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28000607/polychromatic-ssvep-stimuli-with-subtle-flickering-adapted-to-brain-display-interactions
#20
Yu-Yi Chien, Fang-Cheng Lin, John Zao, Ching-Chi Chou, Yi-Pai Huang, Heng-Yuan Kuo, Yijun Wang, Tzyy-Ping Jung, Han-Ping D Shieh
OBJECTIVE: Interactive displays armed with natural user interfaces (NUIs) will likely lead the next breakthrough in consumer electronics, and brain-computer interfaces (BCIs) are often regarded as the ultimate NUI-enabling machines to respond to human emotions and mental states. Steady-state visual evoked potentials (SSVEPs) are a commonly used BCI modality due to the ease of detection and high information transfer rates. However, the presence of flickering stimuli may cause user discomfort and can even induce migraines and seizures...
December 21, 2016: Journal of Neural Engineering
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