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https://www.readbyqxmd.com/read/29683431/a-brain-computer-interface-based-on-miniature-event-related-potentials-induced-by-very-small-lateral-visual-stimuli
#1
Minpeng Xu, Xiaolin Xiao, Yijun Wang, Hongzhi Qi, Tzyy-Ping Jung, Dong Ming
GOAL: Traditional visual brain-computer interfaces (BCIs) preferred to use large-size stimuli to attract the user's attention and elicit distinct electroencephalography (EEG) features. However, the visual stimuli are of no interest to the users as they just serve as the hidden codes behind the characters. Furthermore, using stronger visual stimuli could cause visual fatigue and other adverse symptoms to users. Therefore, it's imperative for visual BCIs to use small and inconspicuous visual stimuli to code characters...
May 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29682000/an-adaptive-calibration-framework-for-mvep-based-brain-computer-interface
#2
Teng Ma, Fali Li, Peiyang Li, Dezhong Yao, Yangsong Zhang, Peng Xu
Electroencephalogram signals and the states of subjects are nonstationary. To track changing states effectively, an adaptive calibration framework is proposed for the brain-computer interface (BCI) with the motion-onset visual evoked potential (mVEP) as the control signal. The core of this framework is to update the training set adaptively for classifier training. The updating procedure consists of two operations, that is, adding new samples to the training set and removing old samples from the training set...
2018: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/29681924/multiclass-informative-instance-transfer-learning-framework-for-motor-imagery-based-brain-computer-interface
#3
Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi
A widely discussed paradigm for brain-computer interface (BCI) is the motor imagery task using noninvasive electroencephalography (EEG) modality. It often requires long training session for collecting a large amount of EEG data which makes user exhausted. One of the approaches to shorten this session is utilizing the instances from past users to train the learner for the novel user. In this work, direct transferring from past users is investigated and applied to multiclass motor imagery BCI. Then, active learning (AL) driven informative instance transfer learning has been attempted for multiclass BCI...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29681792/a-study-of-the-effects-of-electrode-number-and-decoding-algorithm-on-online-eeg-based-bci-behavioral-performance
#4
Jianjun Meng, Bradley J Edelman, Jaron Olsoe, Gabriel Jacobs, Shuying Zhang, Angeliki Beyko, Bin He
Motor imagery-based brain-computer interface (BCI) using electroencephalography (EEG) has demonstrated promising applications by directly decoding users' movement related mental intention. The selection of control signals, e.g., the channel configuration and decoding algorithm, plays a vital role in the online performance and progressing of BCI control. While several offline analyses report the effect of these factors on BCI accuracy for a single session-performance increases asymptotically by increasing the number of channels, saturates, and then decreases-no online study, to the best of our knowledge, has yet been performed to compare for a single session or across training...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29677690/investigating-the-effects-of-visual-distractors-on-the-performance-of-a-motor-imagery-brain-computer-interface
#5
Zahra Emami, Tom Chau
OBJECTIVES: Brain-computer interfaces (BCIs) allow users to operate a device or application by means of cognitive activity. This technology will ultimately be used in real-world environments which include the presence of distractors. The purpose of the study was to determine the effect of visual distractors on BCI performance. METHODS: Sixteen able-bodied participants underwent neurofeedback training to achieve motor imagery-guided BCI control in an online paradigm using electroencephalography (EEG) to measure neural signals...
April 3, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/29676287/electrophysiological-correlates-of-neurodegeneration-in-motor-and-non-motor-brain-regions-in-amyotrophic-lateral-sclerosis-implications-for-brain-computer-interfacing
#6
Philipp Kellmeyer, Moritz Grosse-Wentrup, Andreas Schulze-Bonhage, Ulf Ziemann, Tonio Ball
For patients with amyotrophic lateral sclerosis (ALS) who are suffering from severe communication or motor problems, brain-computer interfaces (BCIs) can improve the quality of life and patient autonomy. However, current BCI systems are not as widely used as their potential and patient demand would let assume. This underutilization is a result of technological as well as user-based limitations but also of the comparatively poor performance of currently existing BCIs in patients with late-stage ALS, particularly in the locked-in state...
April 20, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29674949/effect-of-different-movement-speed-modes-on-human-action-observation-an-eeg-study
#7
Tian-Jian Luo, Jitu Lv, Fei Chao, Changle Zhou
Action observation (AO) generates event-related desynchronization (ERD) suppressions in the human brain by activating partial regions of the human mirror neuron system (hMNS). The activation of the hMNS response to AO remains controversial for several reasons. Therefore, this study investigated the activation of the hMNS response to a speed factor of AO by controlling the movement speed modes of a humanoid robot's arm movements. Since hMNS activation is reflected by ERD suppressions, electroencephalography (EEG) with BCI analysis methods for ERD suppressions were used as the recording and analysis modalities...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29670506/dexterous-control-of-seven-functional-hand-movements-using-cortically-controlled-transcutaneous-muscle-stimulation-in-a-person-with-tetraplegia
#8
Samuel C Colachis, Marcie A Bockbrader, Mingming Zhang, David A Friedenberg, Nicholas V Annetta, Michael A Schwemmer, Nicholas D Skomrock, Walter J Mysiw, Ali R Rezai, Herbert S Bresler, Gaurav Sharma
Individuals with tetraplegia identify restoration of hand function as a critical, unmet need to regain their independence and improve quality of life. Brain-Computer Interface (BCI)-controlled Functional Electrical Stimulation (FES) technology addresses this need by reconnecting the brain with paralyzed limbs to restore function. In this study, we quantified performance of an intuitive, cortically-controlled, transcutaneous FES system on standardized object manipulation tasks from the Grasp and Release Test (GRT)...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29667934/brain-computer-interaction-for-online-enhancement-of-visuospatial-attention-performance
#9
Romain Trachel, Thomas Brochier, Maureen Clerc
OBJECTIVE: the goal of this study is to investigate whether BCI that decode the location of covert attention can be leveraged to enhance visuospatial attention performance. Here, the covert attention task is to discriminate the orientation of a low-contrast target embedded in dynamic noise. Visuospatial attention performance is measured by the reaction time and the accuracy of target discrimination. APPROACH: The target location is indicated by a central cue made of randomly moving dots providing either predictive or ambiguous information...
April 18, 2018: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29666663/scenario-screen-a-dynamic-and-context-dependent-p300-stimulator-screen-aimed-at-wheelchair-navigation-control
#10
Omar Piña-Ramirez, Raquel Valdes-Cristerna, Oscar Yanez-Suarez
P300 spellers have been widely modified to implement nonspelling tasks. In this work, we propose a "scenario" stimulation screen that is a P300 speller variation to command a wheelchair. Our approach utilized a stimulation screen with an image background (scenario snapshot for a wheelchair) and stimulation markers arranged asymmetrically over relevant landmarks, such as suitable paths, doors, windows, and wall signs. Other scenario stimulation screen features were green/blue stimulation marker color scheme, variable Interstimulus Interval, single marker stimulus mode, and optimized stimulus sequence generator...
2018: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/29666575/combining-mental-training-and-physical-training-with-goal-oriented-protocols-in-stroke-rehabilitation-a-feasibility-case-study
#11
Xin Zhang, Ahmed M Elnady, Bubblepreet K Randhawa, Lara A Boyd, Carlo Menon
Stroke is one of the leading causes of permanent disability in adults. The literature suggests that rehabilitation is key to early motor recovery. However, conventional therapy is labor and cost intensive. Robotic and functional electrical stimulation (FES) devices can provide a high dose of repetitions and as such may provide an alternative, or an adjunct, to conventional rehabilitation therapy. Brain-computer interfaces (BCI) could augment neuroplasticity by introducing mental training. However, mental training alone is not enough; but combining mental with physical training could boost outcomes...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29666566/-enheduanna-a-manifesto-of-falling-live-brain-computer-cinema-performance-performer-and-audience-participation-cognition-and-emotional-engagement-using-multi-brain-bci-interaction
#12
Polina Zioga, Frank Pollick, Minhua Ma, Paul Chapman, Kristian Stefanov
The fields of neural prosthetic technologies and Brain-Computer Interfaces (BCIs) have witnessed in the past 15 years an unprecedented development, bringing together theories and methods from different scientific fields, digital media, and the arts. More in particular, artists have been amongst the pioneers of the design of relevant applications since their emergence in the 1960s, pushing the boundaries of applications in real-life contexts. With the new research, advancements, and since 2007, the new low-cost commercial-grade wireless devices, there is a new increasing number of computer games, interactive installations, and performances that involve the use of these interfaces, combining scientific, and creative methodologies...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29662908/portable-brain-computer-interface-for-the-intensive-care-unit-patient-communication-using-subject-dependent-ssvep-identification
#13
Omid Dehzangi, Muhamed Farooq
A major predicament for Intensive Care Unit (ICU) patients is inconsistent and ineffective communication means. Patients rated most communication sessions as difficult and unsuccessful. This, in turn, can cause distress, unrecognized pain, anxiety, and fear. As such, we designed a portable BCI system for ICU communications (BCI4ICU) optimized to operate effectively in an ICU environment. The system utilizes a wearable EEG cap coupled with an Android app designed on a mobile device that serves as visual stimuli and data processing module...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29658406/designing-a-neurofeedback-device-to-quantify-the-attention-levels-using-coffee-as-a-reward-system
#14
Kok Suen Cheng, Jun Xiang Lee, Poh Foong Lee
PURPOSE: Work performance is closely related to one's attention level. In this study, brain computer interface device that suitable for office usage was chosen to quantify the individual's attention levels. MATERIALS AND METHODS:  A brain-computer interface (BCI) system was adopted to interface brainwave signals to a coffee maker via three ascending levels of laser detectors. The preliminary test with this prototype was to characterize the attention level through the collected coffee amount...
April 16, 2018: International Journal of Occupational Safety and Ergonomics: JOSE
https://www.readbyqxmd.com/read/29655592/development-of-a-blunt-chest-injury-care-bundle-an-integrative-review
#15
REVIEW
Sarah Kourouche, Thomas Buckley, Belinda Munroe, Kate Curtis
BACKGROUND: Blunt chest injuries (BCI) are associated with high rates of morbidity and mortality. There are many interventions for BCI which may be able to be combined as a care bundle for improved and more consistent outcomes. OBJECTIVE: To review and integrate the BCI management interventions to inform the development of a BCI care bundle. METHODS: A structured search of the literature was conducted to identify studies evaluating interventions for patients with BCI...
April 7, 2018: Injury
https://www.readbyqxmd.com/read/29653130/complex-sparse-spatial-filter-for-decoding-mixed-frequencyand-phase-coded-steady-state-visually-evoked-potentials
#16
Naoki Morikawa, Toshihisa Tanaka, Md Rabiul Islam
BACKGROUND: Mixed frequency and phase coding (FPC) can achieve the significant increase of the number of commands in steady-state visual evoked potential-based brain-computer interface (SSVEP-BCI). However, the inconsistent phases of the SSVEP over channels in a trial and the existence of non-contributing channels due to noise effects can decrease accurate detection of stimulus frequency. NEW METHOD: We propose a novel command detection method based on a complex sparse spatial filter (CSSF) by solving ℓ1 - and ℓ2,1 -regularization problems for a mixed-coded SSVEP-BCI...
April 10, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29650005/the-effect-of-case-management-and-vector-control-interventions-on-space-time-patterns-of-malaria-incidence-in-uganda
#17
Julius Ssempiira, John Kissa, Betty Nambuusi, Carol Kyozira, Damian Rutazaana, Eddie Mukooyo, Jimmy Opigo, Fredrick Makumbi, Simon Kasasa, Penelope Vounatsou
BACKGROUND: Electronic reporting of routine health facility data in Uganda began with the adoption of the District Health Information Software System version 2 (DHIS2) in 2011. This has improved health facility reporting and overall data quality. In this study, the effects of case management with artemisinin-based combination therapy (ACT) and vector control interventions on space-time patterns of disease incidence were determined using DHIS2 data reported during 2013-2016. METHODS: Bayesian spatio-temporal negative binomial models were fitted on district-aggregated monthly malaria cases, reported by two age groups, defined by a cut-off age of 5 years...
April 12, 2018: Malaria Journal
https://www.readbyqxmd.com/read/29644273/emergency-department-repair-of-blunt-right-atrial-rupture-utilizing-cardiopulmonary-bypass
#18
Samuel P Carmichael, Michael C Bounds, Alexis E Shafii, Phillip K Chang
Blunt cardiac injury (BCI) with free wall rupture carries a high risk of pre-hospital death. Cardiopulmonary bypass (CPB) has been utilized as a bridge to repair of cardiac lesions in select patients. We present an interesting case of emergency department repair of right atrial rupture with cardiopulmonary bypass.
December 2017: Trauma Case Reports
https://www.readbyqxmd.com/read/29643430/highly-interactive-brain-computer-interface-based-on-flicker-free-steady-state-motion-visual-evoked-potential
#19
Chengcheng Han, Guanghua Xu, Jun Xie, Chaoyang Chen, Sicong Zhang
Visual evoked potential-based brain-computer interfaces (BCIs) have been widely investigated because of their easy system configuration and high information transfer rate (ITR). However, the uncomfortable flicker or brightness modulation of existing methods restricts the practical interactivity of BCI applications. In our study, a flicker-free steady-state motion visual evoked potential (FF-SSMVEP)-based BCI was proposed. Ring-shaped motion checkerboard patterns with oscillating expansion and contraction motions were presented by a high-refresh-rate display for visual stimuli, and the brightness of the stimuli was kept constant...
April 11, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29642493/effects-of-tdcs-on-real-time-bci-detection-of-pedaling-motor-imagery
#20
Maria de la Soledad Rodriguez-Ugarte, Eduardo Iáñez, Mario Ortiz-Garcia, José M Azorín
The purpose of this work is to strengthen the cortical excitability over the primary motor cortex (M1) and the cerebro-cerebellar pathway by means of a new transcranial direct current stimulation (tDCS) configuration to detect lower limb motor imagery (MI) in real time using two different cognitive neural states: relax and pedaling MI. The anode is located over the primary motor cortex in Cz, and the cathode over the right cerebro-cerebellum. The real-time brain-computer interface (BCI) designed is based on finding, for each electrode selected, the power at the particular frequency where the most difference between the two mental tasks is observed...
April 8, 2018: Sensors
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