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https://www.readbyqxmd.com/read/28086889/hybrid-brain-computer-interface-for-biomedical-cyber-physical-system-application-using-wireless-embedded-eeg-systems
#1
Rifai Chai, Ganesh R Naik, Sai Ho Ling, Hung T Nguyen
BACKGROUND: One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by using brain electrical signals. METHODS: This paper presents a unique prototype of a hybrid brain computer interface (BCI) which senses a combination classification of mental task, steady state visual evoked potential (SSVEP) and eyes closed detection using only two EEG channels...
January 7, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28077887/examination-of-the-predictive-power-of-electromyography-and-urodynamic-study-in-patients-with-cauda-equina-syndrome-horse-tail-syndrome
#2
Mohammadreza Shahmohammadi, Reza Jalil Khoshuod, Alireza Zali, Amir Saied Seddeghi, Nima Mohseni Kabir
BACKGROUND: Cauda equina syndrome is a rare disorder that causes loss of Lumbar plexus function (nerve roots) lower than conus medullaris. No risk factor has been defined for this disease yet. Due to the high morbidity of Cauda equina syndrome and lack of sufficient information about the connection between the disease and urodynamic findings and EMG (Electromyography) findings, the need for this comprehensive study is felt. OBJECTIVE: The aim is to determine the predictive power of findings resulted from urodynamics and electromyography of perineal region and around sphincter in the clinical cure rate of urination in patients with urinary retention followed by Cauda equina syndrome...
October 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28071599/unsupervised-frequency-recognition-method-of-ssveps-using-a-filter-bank-implementation-of-binary-subband-cca
#3
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/28064315/-activation-of-biosynthesis-of-guanyl-specific-ribonuclease-secreted-by-bacillus-circulans-under-salt-stress
#4
M A Kharitonova, L V Kipenskaya, O N Ilinskaya
The gene transcription of guanyl-specific ribonucleases (RNases), which provide available phosphate to cells of Bacillus, is controlled by the signal transduction system PhoP-PhoR. However, the biosynthesis of B. circulans RNase does not depend on the signal-transduction regulatory proteins of Pho regulon. It has been found that raising the salt molar concentration in culture medium increases the level of extracellular guanyl-specific ribonuclease Bci synthesized by B. circulans. Sequences homologous to the binding sites of the regulatory protein DegU were found in RNase Bci promoter...
November 2016: Molekuliarnaia Biologiia
https://www.readbyqxmd.com/read/28061886/circadian-course-of-the-p300-erp-in-patients-with-amyotrophic-lateral-sclerosis-implications-for-brain-computer-interfaces-bci
#5
Helena Erlbeck, Ursula Mochty, Andrea Kübler, Ruben G L Real
BACKGROUND: Accidents or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS) can lead to progressing, extensive, and complete paralysis leaving patients aware but unable to communicate (locked-in state). Brain-computer interfaces (BCI) based on electroencephalography represent an important approach to establish communication with these patients. The most common BCI for communication rely on the P300, a positive deflection arising in response to rare events. To foster broader application of BCIs for restoring lost function, also for end-users with impaired vision, we explored whether there were specific time windows during the day in which a P300 driven BCI should be preferably applied...
January 7, 2017: BMC Neurology
https://www.readbyqxmd.com/read/28060906/steady-state-motion-visual-evoked-potential-ssmvep-based-on-equal-luminance-colored-enhancement
#6
Wenqiang Yan, Guanghua Xu, Min Li, Jun Xie, Chengcheng Han, Sicong Zhang, Ailing Luo, Chaoyang Chen
Steady-state visual evoked potential (SSVEP) is one of the typical stimulation paradigms of brain-computer interface (BCI). It has become a research approach to improve the performance of human-computer interaction, because of its advantages including multiple objectives, less recording electrodes for electroencephalogram (EEG) signals, and strong anti-interference capacity. Traditional SSVEP using light flicker stimulation may cause visual fatigue with a consequent reduction of recognition accuracy. To avoid the negative impacts on the brain response caused by prolonged strong visual stimulation for SSVEP, steady-state motion visual evoked potential (SSMVEP) stimulation method was used in this study by an equal-luminance colored ring-shaped checkerboard paradigm...
2017: PloS One
https://www.readbyqxmd.com/read/28055887/eeg-based-strategies-to-detect-motor-imagery-for-control-and-rehabilitation
#7
Kai Keng Ang, Cuntai Guan
Advances in Brain-Computer Interface (BCI) technology have facilitated the detection of Motor Imagery (MI) from electroencephalography (EEG). First, we present three strategies of using BCI to detect MI from EEG: operant conditioning that employed a fixed model, machine learning that employed a subject-specific model computed from calibration, and adaptive strategy that continuously compute the subjectspecific model. Second, we review prevailing works that employed the operant conditioning and machine learning strategies...
December 30, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28055886/long-term-stable-control-of-motor-imagery-bci-by-a-locked-in-user-through-adaptive-assistance
#8
Sareh Saeedi, Ricardo Chavarriaga, Jose Del R Millan
Performance variation is one of the main challenges that BCIs are confronted with, when being used over extended periods of time. Shared control techniques could partially cope with such a problem. In this paper, we propose a taxonomy of shared control approaches used for BCIs and we review some of the recent studies at the light of these approaches. We posit that the level of assistance provided to the BCI user should be adjusted in real time in order to enhance BCI reliability over time. This approach has not been extensively studied in the recent literature on BCIs...
December 28, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28041692/neurofeedback-one-of-today-s-techniques-in-psychiatry
#9
M Arns, J-M Batail, S Bioulac, M Congedo, C Daudet, D Drapier, T Fovet, R Jardri, M Le-Van-Quyen, F Lotte, D Mehler, J-A Micoulaud-Franchi, D Purper-Ouakil, F Vialatte
OBJECTIVES: Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry...
December 29, 2016: L'Encéphale
https://www.readbyqxmd.com/read/28026777/local-and-remote-cooperation-with-virtual-and-robotic-agents-a-p300-bci-study-in-healthy-and-people-living-with-spinal-cord-injury
#10
Emmanuele Tidoni, Mohammad Abu-Alqumsan, Daniele Leonardis, Christoph Kapeller, Gabriele Fusco, Christoph Guger, Cristoph Hintermueller, Angelika Peer, Antonio Frisoli, Franco Tecchia, Massimo Bergamasco, Salvatore M Aglioti
The development of technological applications that allow people to control and embody external devices within social interaction settings represents a major goal for current and future brain-computer interface (BCI) systems.
December 23, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28012854/discriminative-spatial-frequency-temporal-feature-extraction-and-classification-of-motor-imagery-eeg-an-sparse-regression-and-weighted-na%C3%A3-ve-bayesian-classifier-based-approach
#11
Minmin Miao, Hong Zeng, Aimin Wang, Changsen Zhao, Feixiang Liu
BACKGROUND: Common spatial pattern (CSP) is most widely used in motor imagery based brain-computer interface (BCI) systems. In conventional CSP algorithm, pairs of the eigenvectors corresponding to both extreme eigenvalues are selected to construct the optimal spatial filter. In addition, an appropriate selection of subject-specific time segments and frequency bands plays an important role in its successful application. NEW METHOD: This study proposes to optimize spatial-frequency-temporal patterns for discriminative feature extraction...
December 21, 2016: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28004644/enhancing-performance-of-a-motor-imagery-based-brain-computer-interface-by-incorporating-electrical-stimulation-induced-sssep
#12
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/28000607/polychromatic-ssvep-stimuli-with-subtle-flickering-adapted-to-brain-display-interactions
#13
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
https://www.readbyqxmd.com/read/27999934/detrusor-pressures-in-urodynamic-studies-during-voiding-in-women
#14
Satoru Kira, Takahiko Mitsui, Hideki Kobayashi, Yaburu Haneda, Norifumi Sawada, Masayuki Takeda
INTRODUCTION AND HYPOTHESIS: To investigate detrusor pressure during voiding in women using urodynamic studies (UDS). METHODS: The study group comprised 57 women with non-neurogenic lower urinary tract symptoms. All patients underwent UDS between January 2010 and December 2014. UDS included filling cystometry, pressure flow study (PFS), uroflowmetry for the maximum flow rate (Qmax) and mean flow rate, and postvoid residuals. Existence of voluntary detrusor contraction was defined as a continuous and smooth increase in detrusor pressure (Pdet) after the instruction to micturate in the PFS...
December 20, 2016: International Urogynecology Journal
https://www.readbyqxmd.com/read/27999538/robotic-and-virtual-reality-bcis-using-spatial-tactile-and-auditory-oddball-paradigms
#15
REVIEW
Tomasz M Rutkowski
The paper reviews nine robotic and virtual reality (VR) brain-computer interface (BCI) projects developed by the author, in collaboration with his graduate students, within the BCI-lab research group during its association with University of Tsukuba, Japan. The nine novel approaches are discussed in applications to direct brain-robot and brain-virtual-reality-agent control interfaces using tactile and auditory BCI technologies. The BCI user intentions are decoded from the brainwaves in realtime using a non-invasive electroencephalography (EEG) and they are translated to a symbiotic robot or virtual reality agent thought-based only control...
2016: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/27992435/a-randomized-controlled-study-of-neurofeedback-for-chronic-ptsd
#16
Bessel A van der Kolk, Hilary Hodgdon, Mark Gapen, Regina Musicaro, Michael K Suvak, Ed Hamlin, Joseph Spinazzola
INTRODUCTION: Brain/Computer Interaction (BCI) devices are designed to alter neural signals and, thereby, mental activity. This study was a randomized, waitlist (TAU) controlled trial of a BCI, EEG neurofeedback training (NF), in patients with chronic PTSD to explore the capacity of NF to reduce PTSD symptoms and increase affect regulation capacities. STUDY DESIGN: 52 individuals with chronic PTSD were randomized to either NF (n = 28) or waitlist (WL) (n = 24). They completed four evaluations, at baseline (T1), after week 6 (T2), at post-treatment (T3), and at one month follow up (T4)...
2016: PloS One
https://www.readbyqxmd.com/read/27990247/bci-triggered-functional-electrical-stimulation-therapy-for-upper-limb
#17
Cesar Marquez-Chin, Aaron Marquis, Milos R Popovic
We present here the integration of brain-computer interfacing (BCI) technology with functional electrical stimulation therapy to restore voluntary function. The system was tested with a single man with chronic (6 years) severe left hemiplegia resulting from a stroke. The BCI, implemented as a simple "brain-switch" activated by power decreases in the 18 Hz - 28 Hz frequency range of the participant's electroencephalograpic signals, triggered a neuroprosthesis designed to facilitate forward reaching, reaching to the mouth, and lateral reaching movements...
June 13, 2016: European Journal of Translational Myology
https://www.readbyqxmd.com/read/27990240/paired-associative-stimulation-using-brain-computer-interfaces-for-stroke-rehabilitation-a-pilot-study
#18
Woosang Cho, Nikolaus Sabathiel, Rupert Ortner, Alexander Lechner, Danut C Irimia, Brendan Z Allison, Guenter Edlinger, Christoph Guger
Conventional therapies do not provide paralyzed patients with closed-loop sensorimotor integration for motor rehabilitation. Paired associative stimulation (PAS) uses brain-computer interface (BCI) technology to monitor patients' movement imagery in real-time, and utilizes the information to control functional electrical stimulation (FES) and bar feedback for complete sensorimotor closed loop. To realize this approach, we introduce the recoveriX system, a hardware and software platform for PAS. After 10 sessions of recoveriX training, one stroke patient partially regained control of dorsiflexion in her paretic wrist...
June 13, 2016: European Journal of Translational Myology
https://www.readbyqxmd.com/read/27966546/noninvasive-electroencephalogram-based-control-of-a-robotic-arm-for-reach-and-grasp-tasks
#19
Jianjun Meng, Shuying Zhang, Angeliki Bekyo, Jaron Olsoe, Bryan Baxter, Bin He
Brain-computer interface (BCI) technologies aim to provide a bridge between the human brain and external devices. Prior research using non-invasive BCI to control virtual objects, such as computer cursors and virtual helicopters, and real-world objects, such as wheelchairs and quadcopters, has demonstrated the promise of BCI technologies. However, controlling a robotic arm to complete reach-and-grasp tasks efficiently using non-invasive BCI has yet to be shown. In this study, we found that a group of 13 human subjects could willingly modulate brain activity to control a robotic arm with high accuracy for performing tasks requiring multiple degrees of freedom by combination of two sequential low dimensional controls...
December 14, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27957487/effect-of-anodal-tdcs-on-event-related-potentials-a-controlled-study
#20
Ahmed Izzidien, Sriharasha Ramaraju, Mohammed Ali Roula, Peter W McCarthy
We aim to measure the postintervention effects of A-tDCS (anodal-tDCS) on brain potentials commonly used in BCI applications, namely, Event-Related Desynchronization (ERD), Event-Related Synchronization (ERS), and P300. Ten subjects were given sham and 1.5 mA A-tDCS for 15 minutes on two separate experiments in a double-blind, randomized order. Postintervention EEG was recorded while subjects were asked to perform a spelling task based on the "oddball paradigm" while P300 power was measured. Additionally, ERD and ERS were measured while subjects performed mental motor imagery tasks...
2016: BioMed Research International
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