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https://www.readbyqxmd.com/read/28325008/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#1
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324971/a-small-portable-battery-powered-brain-computer-interface-system-for-motor-rehabilitation
#2
Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
Motor rehabilitation using brain-computer interface (BCI) systems may facilitate functional recovery in individuals after stroke or spinal cord injury. Nevertheless, these systems are typically ill-suited for widespread adoption due to their size, cost, and complexity. In this paper, a small, portable, and extremely cost-efficient (<;$200) BCI system has been developed using a custom electroencephalographic (EEG) amplifier array, and a commercial microcontroller and touchscreen. The system's performance was tested using a movement-related BCI task in 3 able-bodied subjects with minimal previous BCI experience...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324945/a-comparative-study-of-pseudorandom-sequences-used-in-a-c-vep-based-bci-for-online-wheelchair-control
#3
Jonas Isaksen, Ali Mohebbi, Sadasivan Puthusserypady
In this study, a c-VEP based BCI system was developed to run on three distinctive pseudorandom sequences, namely the m-code, the Gold-code, and the Barker-code. The Visual Evoked Potentials (VEPs) were provoked using these codes. In the online session, subjects controlled a LEGO(®) Mindstorms(®) robot around a fixed track. Choosing the optimal code proved a significant increase in accuracy (p<;0.00001) over the average performance. No single code proved significantly more accurate than the others (p=0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28318537/cardiac-magnetic-resonance-imaging-in-suspected-blunt-cardiac-injury-a-prospective-pilot-cohort-study
#4
Aidan Jc Burrell, David M Kaye, Mark C Fitzgerald, David J Cooper, James L Hare, Benedict T Costello, Andrew J Taylor
INTRODUCTION: The aim of this study was to evaluate the incidence and severity of blunt cardiac injury (BCI) as determined by cardiac magnetic resonance imaging (CMR), and to compare this to currently used diagnostic methods in severely injured patients. MATERIALS AND METHODS: We conducted a prospective, pilot cohort study of 42 major trauma patients from July 2013 to Jan 2015. The cohort underwent CMR within 7 days, enrolling 21 patients with evidence of chest injury and an elevated Troponin I compared to 21 patients without chest injury who acted as controls...
February 27, 2017: Injury
https://www.readbyqxmd.com/read/28301272/speech-recognition-in-bilaterally-cochlear-implanted-adults-in-tokyo-japan
#5
Yoko Ohta, Atsushi Kawano, Sachie Kawaguchi, Kyoko Shirai, Kiyoaki Tsukahara
INTRODUCTION: The clinical effects of bilateral cochlear implantation (BCI) include binaural summation and better hearing under noise conditions. This study retrospectively examined the utility of BCI compared to unilateral cochlear implantation (CI) in adults. PATIENTS AND METHODS: We investigated 34 adults who underwent BCI, comparing speech recognition between BCI and first CI under silent and noise conditions. We assessed correlations between speech recognition after first and second CIs, and between the interval from first to second CI surgery and speech recognition of second CI...
March 16, 2017: Acta Oto-laryngologica
https://www.readbyqxmd.com/read/28299327/minimum-lateral-bone-coverage-required-for-securing-fixation-of-cementless-acetabular-components-in-hip-dysplasia
#6
Masanori Fujii, Yasuharu Nakashima, Tetsuro Nakamura, Yoshihiro Ito, Toshihiko Hara
Objectives. To determine the minimum lateral bone coverage required for securing stable fixation of the porous-coated acetabular components (cups) in hip dysplasia. Methods. In total, 215 primary total hip arthroplasties in 199 patients were reviewed. The average follow-up period was 49 months (range: 24-77 months). The lateral bone coverage of the cups was assessed by determining the cup center-edge (cup-CE) angle and the bone coverage index (BCI) from anteroposterior pelvic radiographs. Further, cup fixation was determined using the modified DeLee and Charnley classification system...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28298902/global-distribution-and-evolutionary-history-of-enterovirus-d68-with-emphasis-on-the-2014-outbreak-in-ontario-canada
#7
Alireza Eshaghi, Venkata R Duvvuri, Sandra Isabel, Philip Banh, Aimin Li, Adriana Peci, Samir N Patel, Jonathan B Gubbay
Despite its first appearance in 1962, human enterovirus D68 (EV-D68) has been recognized as an emerging respiratory pathogen in the last decade when it caused outbreaks and clusters in several countries including Japan, the Philippines, and the Netherlands. The most recent and largest outbreak of EV-D68 associated with severe respiratory illness took place in North America between August 2014 and January 2015. Between September 1 and October 31 2014, EV-D68 infection was laboratory confirmed among 153/907 (16...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28298888/reaching-and-grasping-a-glass-of-water-by-locked-in-als-patients-through-a-bci-controlled-humanoid-robot
#8
Rossella Spataro, Antonio Chella, Brendan Allison, Marcello Giardina, Rosario Sorbello, Salvatore Tramonte, Christoph Guger, Vincenzo La Bella
Locked-in Amyotrophic Lateral Sclerosis (ALS) patients are fully dependent on caregivers for any daily need. At this stage, basic communication and environmental control may not be possible even with commonly used augmentative and alternative communication devices. Brain Computer Interface (BCI) technology allows users to modulate brain activity for communication and control of machines and devices, without requiring a motor control. In the last several years, numerous articles have described how persons with ALS could effectively use BCIs for different goals, usually spelling...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28294109/goal-recognition-based-adaptive-brain-computer-interface-for-navigating-immersive-robotic-systems
#9
Mohammad Abu-Alqumsan, Felix Ebert, Angelika Peer
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandwidth-hungry application, and a way to enable fluent and intuitive interaction in embodiment systems. The main focus is laid upon inferring the hidden target goals of users while navigating in a remote environment as a basis for possible adaptations...
March 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28291737/advantages-of-eeg-phase-patterns-for-the-detection-of-gait-intention-in-healthy-and-stroke-subjects
#10
Andreea Ioana Sburlea, Luis Montesano, Javier Minguez
OBJECTIVE: One use of EEG-based brain-computer interfaces (BCIs) in rehabilitation is the detection of movement intention. In this paper we investigate for the first time the instantaneous phase of movement related cortical potential (MRCP) and its application to the detection of gait intention. APPROACH: We demonstrate the utility of MRCP phase in two independent datasets, in which 10 healthy subjects and 9 chronic stroke patients executed a self-initiated gait task in three sessions...
March 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28288824/switching-markov-decoders-for-asynchronous-trajectory-reconstruction-from-ecog-signals-in-monkeys-for-bci-applications
#11
Marie-Caroline Schaeffer, Tetiana Aksenova
Brain-Computer Interfaces (BCIs) are systems which translate brain neural activity into commands for external devices. BCI users generally alternate between No-Control (NC) and Intentional Control (IC) periods. NC/IC discrimination is crucial for clinical BCIs, particularly when they provide neural control over complex effectors such as exoskeletons. Numerous BCI decoders focus on the estimation of continuously-valued limb trajectories from neural signals. The integration of NC support into continuous decoders is investigated in the present article...
March 10, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28287076/improving-zero-training-brain-computer-interfaces-by-mixing-model-estimators
#12
Thibault Verhoeven, David Hübner, Michael Tangermann, Klaus-Robert Mueller, Joni Dambre, Pieter-Jan Kindermans
OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a decoder to classify recorded brain signals and subsequently select a control signal that drives a computer application. Standard supervised BCI decoders require a tedious calibration procedure prior to every session. Several unsupervised classification methods have been proposed that tune the decoder during actual use and as such omit this calibration. Each of these methods has its own strengths and weaknesses...
March 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28286317/7t-fmri-faster-temporal-resolution-yields-optimal-bold-sensitivity-for-functional-network-imaging-specifically-at-high-spatial-resolution
#13
Peter E Yoo, Sam E John, Shawna Farquharson, Jon O Cleary, Yan T Wong, Amanda Ng, Claire Mulcahy, David B Grayden, Roger J Ordidge, Nicholas L Opie, Terence J O'Brien, Thomas J Oxley, Bradford A Moffat
Recent developments in accelerated imaging methods allow faster acquisition of high spatial resolution images. This could improve the applications of functional magnetic resonance imaging at 7 T (7T-fMRI), such as neurosurgical planning and Brain Computer Interfaces (BCIs). However, increasing the spatial and temporal resolution will both lead to signal-to-noise ratio (SNR) losses due to decreased signal intensity and T1-relaxation effect, respectively. This could potentially offset the SNR efficiency gains made with increasing temporal resolution...
March 7, 2017: NeuroImage
https://www.readbyqxmd.com/read/28286237/retrospectively-supervised-click-decoder-calibration-for-self-calibrating-point-and-click-brain-computer-interfaces
#14
Beata Jarosiewicz, Anish A Sarma, Jad Saab, Brian Franco, Sydney S Cash, Emad N Eskandar, Leigh R Hochberg
Brain-computer interfaces (BCIs) aim to restore independence to people with severe motor disabilities by allowing control of acursor on a computer screen or other effectors with neural activity. However, physiological and/or recording-related nonstationarities in neural signals can limit long-term decoding stability, and it would be tedious for users to pause use of the BCI whenever neural control degrades to perform decoder recalibration routines. We recently demonstrated that a kinematic decoder (i.e. a decoder that controls cursor movement) can be recalibrated using data acquired during practical point-and-click control of the BCI by retrospectively inferring users' intended movement directions based on their subsequent selections...
March 8, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28278476/review-human-intracortical-recording-and-neural-decoding-for-brain-computer-interfaces
#15
David M Brandman, Sydney S Cash, Leigh R Hochberg
Brain Computer Interfaces (BCIs) use neural information recorded from the brain for voluntary control of external devices. The development of BCI systems has largely focused on improving functional independence for individuals with severe motor impairments, including providing tools for communication and mobility. In this review, we describe recent advances in intracortical BCI technology and provide potential directions for further research.
March 2, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269716/motor-imagery-based-brain-computer-interface-using-transform-domain-features
#16
Ahmed M Elbaz, Ahmed T Ahmed, Ayman M Mohamed, Mohamed A Oransa, Khaled S Sayed, Ayman M Eldeib
Brain Computer Interface (BCI) is a channel of communication between the human brain and an external device through brain electrical activity. In this paper, we extracted different features to boost the classification accuracy as well as the mutual information of BCI systems. The extracted features include the magnitude of the discrete Fourier transform and the wavelet coefficients for the EEG signals in addition to distance series values and invariant moments calculated for the reconstructed phase space of the EEG measurements...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269590/time-frequency-joint-coding-method-for-boosting-information-transfer-rate-in-an-ssvep-based-bci-system
#17
Ke Lin, Yijun Wang, Xiaorong Gao
Steady-State Visual Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) system is an important BCI modality. It has advantages such as ease of use, little training and high Information Transfer Rate (ITR). Traditional SSVEP based BCI systems are based on the Frequency Division Multiple Access (FDMA) approach in telecommunications. Recently, Time Division Multiple Access (TDMA) was also introduced to SSVEP based BCI to enhance the system performance. This study designed a new time-frequency joint coding method to utilize the information coding from both time and frequency domains...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269589/high-performance-wearable-two-channel-hybrid-bci-system-with-eye-closure-assist
#18
Yubing Jiang, Hyeonseok Lee, Gang Li, Wan-Young Chung
Generally, eye closure (EC) and eye opening (EO)-based alpha blocking has widely recognized advantages, such as being easy to use, requiring little user training, while motor imagery (MI) is difficult for some users to have concrete feelings. This study presents a hybrid brain-computer interface (BCI) combining MI and EC strategies - such an approach aims to overcome some disadvantages of MI-based BCI, improve the performance and universality of the BCI. The EC/EO is employed to control the machine to switch in different states including forward, stop, changing direction motions, while the MI is used to control the machine to turn left or right for 90° by imagining the hands grasp motions when the system is switched into "changing direction" state...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269588/maximum-entropy-based-common-spatial-patterns-for-motor-imagery-classification
#19
Syed Salman Ali, Lei Zhang
The common spatial pattern (CSP) is extensively used to extract discriminative feature from raw Electroencephalography (EEG) signals for motor imagery classification. The CSP is a statistical signal processing technique, which relies on sample based covariance matrix estimation to give discriminative information from raw EEG signals. The sample based estimation of covariance matrix becomes a problem when the number of training samples is limited, which causes the performance of CSP based brain computer interface (BCI) to degrade significantly...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269586/phase-modulation-based-response-inhibition-outcome-prediction-in-translational-scenario-of-stop-signal-task
#20
Rupesh Kumar Chikara, Li-Wei Ko
In this paper, a method is proposed to predict the resting-state outcomes of participants based on their electroencephalogram (EEG) signals recorded before the successful /unsuccessful response inhibition. The motivation of this study is to enhance the shooter performance for shooting the target, when their EEG patterns show that they are ready. This method can be used in brain-computer interface (BCI) system. In this study, multi-channel EEG from twenty participants are collected by the electrodes placed at different scalp locations in resting-state time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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