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https://www.readbyqxmd.com/read/28227809/feature-domain-specific-movement-intention-detection-for-stroke-rehabilitation-with-brain-computer-interfaces
#1
J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, H Rovsing, M Jochumsen, M B Sorensen, C Rovsing, A C Royo, I K Niazi, J T Hadsund
Brain-computer interface (BCI) driven electrical stimulation has been proposed for neuromodulation for stroke rehabilitation by pairing intentions to move with somatosensory feedback from electrical stimulation. Movement intentions have been detected in several studies using different techniques, with temporal and spectral features being the most common. A few studies have compared temporal and spectral features, but conflicting results have been reported. In this study, the aim was to investigate if complexity measures can be used for movement intention detection and to compare the detection performance based on features extracted from three different domains (time, frequency and complexity) from single-trial EEG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227629/inertial-sensor-based-gait-analysis-discriminates-subjects-with-and-without-visual-impairment-caused-by-simulated-macular-degeneration
#2
Christoph M Kanzler, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Christoph M Kanzler, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Jens Barth, Jochen Klucken, Bjoern M Eskofier, Christoph M Kanzler
Macular degeneration is the third leading cause of blindness worldwide and the leading cause of blindness in the developing world. The analysis of gait parameters can be used to assess the influence of macular degeneration on gait. This study examines the effect of macular degeneration on gait using inertial sensor based 3D spatio-temporal gait parameters. We acquired gait data from 21 young and healthy subjects during a 40 m obstacle walk. All subjects had to perform the gait trial with and without macular degeneration simulation glasses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227323/estimation-and-modeling-of-eeg-amplitude-temporal-characteristics-using-a-marked-point-process-approach
#3
Carlos A Loza, Jose C Principe, Carlos A Loza, Jose C Principe, Carlos A Loza, Jose C Principe
We propose a novel interpretation of single channel Electroencephalogram (EEG) traces based on the transient nature of encoded processes in the brain. In particular, the proposed framework models EEG as the output of the noisy addition of temporal, reoccurring, transient patterns known as phasic events. This is not only neurophysiologically sound, but it also provides additional information that classical EEG analysis often disregards. Furthermore, by utilizing sparse decomposition techniques, it is possible to obtain amplitude and timing that is further modeled using estimation and fitting techniques...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#4
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226968/discriminating-clinical-phases-of-recovery-from-major-depressive-disorder-using-the-dynamics-of-facial-expression
#5
Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati
We used several metrics of variability to extract unsupervised features from video recordings of patients before and after deep brain stimulation (DBS) treatment for major depressive disorder (MDD). Our goal was to quantify the treatment effects on facial expressivity. Multiscale entropy (MSE) was used to capture the temporal variability in pixel intensity level at multiple time-scales. A dynamic latent variable model (DLVM) was used to learn a low dimensional (D = 20) set of dynamic factors that explain the observed covariance across the high-dimensional pixels (M = 30 × 30) within each video frame and across time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226869/the-long-range-temporal-correlations-of-broadband-eeg-oscillations-in-poststroke-depression-subjects-with-basal-ganglia-infarction
#6
Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming, Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming, Jingang Du, Peng Zhou, Chunfang Wang, Ying Zhang, Dong Ming
Recent studies have found long-range temporal correlations (LRTC) of neuronal oscillation under different physiological and pathological state. In this paper we aimed to explore the temporal correlations of broadband neuronal oscillation in poststroke depression. Resting state EEGs of 16 electrodes in 16 poststroke depression (PSD), 18 poststroke non-depression (PSND) and 18 healthy control (HC) subjects were analyzed by means of detrended fluctuation analysis (DFA), a quantitative measurement of LRTC. The results indicated that LRTC of broadband oscillation in PSD subjects was still preserved and had similar spatial distribution to non-depression subjects, but attenuated especially in left hemisphere and frontal and posterior temporal regions of right hemisphere...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226815/multi-domain-feature-selection-in-auditory-mismatch-negativity-via-parafac-based-template-matching-approach
#7
Saeed Pouryazdian, Andrew Chang, Dan J Bosnyak, Laurel J Trainor, Soosan Beheshti, Sridhar Krishnan, Saeed Pouryazdian, Andrew Chang, Dan J Bosnyak, Laurel J Trainor, Soosan Beheshti, Sridhar Krishnan, Soosan Beheshti, Dan J Bosnyak, Laurel J Trainor, Sridhar Krishnan, Saeed Pouryazdian, Andrew Chang
MisMatch Negativity (MMN) is a small event-related potential (ERP) that provide an index of sensory learning and perceptual accuracy for the cognitive research. Group-level analysis plays an important role for detecting differences at group or condition level, especially when the signal-to-noise ratio is low. Tensor factorization has provided a framework for group-level analysis of ERPs by exploiting more information of brain responses in more domains simultaneously. A 4-way ERP tensor of time × frequency × channel × subjects/condition is generated and decomposed via PARAFAC...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223953/predicting-future-reading-problems-based-on-pre-reading-auditory-measures-a-longitudinal-study-of-children-with-a-familial-risk-of-dyslexia
#8
Jeremy M Law, Maaike Vandermosten, Pol Ghesquière, Jan Wouters
Purpose: This longitudinal study examines measures of temporal auditory processing in pre-reading children with a family risk of dyslexia. Specifically, it attempts to ascertain whether pre-reading auditory processing, speech perception, and phonological awareness (PA) reliably predict later literacy achievement. Additionally, this study retrospectively examines the presence of pre-reading auditory processing, speech perception, and PA impairments in children later found to be literacy impaired. Method: Forty-four pre-reading children with and without a family risk of dyslexia were assessed at three time points (kindergarten, first, and second grade)...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28223913/neuromorphic-implementation-of-attractor-dynamics-in-a-two-variable-winner-take-all-circuit-with-nmdars-a-simulation-study
#9
Hongzhi You, Da-Hui Wang
Neural networks configured with winner-take-all (WTA) competition and N-methyl-D-aspartate receptor (NMDAR)-mediated synaptic dynamics are endowed with various dynamic characteristics of attractors underlying many cognitive functions. This paper presents a novel method for neuromorphic implementation of a two-variable WTA circuit with NMDARs aimed at implementing decision-making, working memory and hysteresis in visual perceptions. The method proposed is a dynamical system approach of circuit synthesis based on a biophysically plausible WTA model...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28221996/hierarchical-latent-concept-discovery-for-video-event-detection
#10
Chao Li, Zi Huang, Yang Yang, Jiewei Cao, Xiaoshui Sun, Heng Tao Shen
Semantic information is important for video event detection. How to automatically discover, model and utilize semantic information to facilitate video event detection has been a challenging problem. In this paper, we propose a novel hierarchical video event detection model, which deliberately unifies the processes of underlying semantics discovery and event modelling from video data. Specially, different from most approaches based on manually pre-defined concepts, we devise an effective model to automatically uncover video semantics by hierarchically capturing latent static-visual concepts in frame-level and latent activity concepts (i...
February 17, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28219746/application-of-high-throughput-sequencing-to-whole-rabies-viral-genome-characterisation-and-its-use-for-phylogenetic-re-evaluation-of-a-raccoon-strain-incursion-into-the-province-of-ontario
#11
Susan A Nadin-Davis, Adam Colville, Hannah Trewby, Roman Biek, Leslie Real
Raccoon rabies remains a serious public health problem throughout much of the eastern seaboard of North America due to the urban nature of the reservoir host and the many challenges inherent in multi-jurisdictional efforts to administer co-ordinated and comprehensive wildlife rabies control programmes. Better understanding of the mechanisms of spread of rabies virus can play a significant role in guiding such control efforts. To facilitate a detailed molecular epidemiological study of raccoon rabies virus movements across eastern North America, we developed a methodology to efficiently determine whole genome sequences of hundreds of viral samples...
February 17, 2017: Virus Research
https://www.readbyqxmd.com/read/28214927/spatiotemporal-differentiation-in-auditory-and-motor-regions-during-auditory-phoneme-discrimination
#12
Annelies Aerts, Gregor Strobbe, Pieter van Mierlo, Robert J Hartsuiker, Paul Corthals, Patrick Santens, Miet De Letter
Auditory phoneme discrimination (APD) is supported by both auditory and motor regions through a sensorimotor interface embedded in a fronto-temporo-parietal cortical network. However, the specific spatiotemporal organization of this network during APD with respect to different types of phonemic contrasts is still unclear. Here, we use source reconstruction, applied to event-related potentials in a group of 47 participants, to uncover a potential spatiotemporal differentiation in these brain regions during a passive and active APD task with respect to place of articulation (PoA), voicing and manner of articulation (MoA)...
February 18, 2017: Acta Neurologica Belgica
https://www.readbyqxmd.com/read/28208687/a-novel-fiber-optic-based-surveillance-system-for-prevention-of-pipeline-integrity-threats
#13
Javier Tejedor, Javier Macias-Guarasa, Hugo F Martins, Daniel Piote, Juan Pastor-Graells, Sonia Martin-Lopez, Pedro Corredera, Miguel Gonzalez-Herraez
This paper presents a novel surveillance system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry (ϕ-OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level and applies a system combination strategy for pattern classification. The contextual information at the feature level is based on the tandem approach (using feature representations produced by discriminatively-trained multi-layer perceptrons) by employing feature vectors that spread different temporal contexts...
February 12, 2017: Sensors
https://www.readbyqxmd.com/read/28199005/specialized-photoreceptor-composition-in-the-raptor-fovea
#14
Mindaugas Mitkus, Peter Olsson, Matthew B Toomey, Joseph C Corbo, Almut Kelber
The retinae of many bird species contain a depression with high photoreceptor density known as the fovea. Many species of raptors have two foveae, a deep central fovea and a shallower temporal fovea. Birds have six types of photoreceptors: rods, active in dim light, double cones that are thought to mediate achromatic discrimination, and four types of single cones mediating color vision. To maximize visual acuity, the fovea should only contain photoreceptors contributing to high-resolution vision. Interestingly, it has been suggested that raptors might lack double cones in the fovea...
February 15, 2017: Journal of Comparative Neurology
https://www.readbyqxmd.com/read/28197167/vviaprt3-and-vvifsex-two-genes-involved-in-sex-specification-able-to-distinguish-different-flower-types-in-vitis
#15
João L Coito, Miguel J N Ramos, Jorge Cunha, Helena G Silva, Sara Amâncio, Maria M R Costa, Margarida Rocheta
Vitis vinifera vinifera is a hermaphrodite subspecies, while its ancestor, Vitis vinifera sylvestris, is dioecious. We have identified two genes that together allow the discrimination between male, female and hermaphrodite Vitis plants. The sex locus region on chromosome 2 was screened resulting in the discovery of a new gene, VviFSEX. The same screening revealed another gene, VviAPRT3, located in the sex region, that be used as a sex marker. Both genes are good candidates to be involved in flower sex differentiation in grapevine...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28197065/discrimination-of-dynamic-tactile-contact-by-temporally-precise-event-sensing-in-spiking-neuromorphic-networks
#16
Wang Wei Lee, Sunil L Kukreja, Nitish V Thakor
This paper presents a neuromorphic tactile encoding methodology that utilizes a temporally precise event-based representation of sensory signals. We introduce a novel concept where touch signals are characterized as patterns of millisecond precise binary events to denote pressure changes. This approach is amenable to a sparse signal representation and enables the extraction of relevant features from thousands of sensing elements with sub-millisecond temporal precision. We also proposed measures adopted from computational neuroscience to study the information content within the spiking representations of artificial tactile signals...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28195521/a-computational-model-of-perceptual-and-mnemonic-deficits-in-medial-temporal-lobe-amnesia
#17
Patrick S Sadil, Rosemary A Cowell
Damage to the medial temporal lobe (MTL) has long been known to impair declarative memory, and recent evidence suggests that it also impairs visual perception. A theory termed the representational-hierarchical account explains such impairments by assuming that MTL stores conjunctive representations of items and events, and that individuals with MTL damage must rely upon representations of simple visual features in posterior visual cortex, which are inadequate to support memory and perception under certain circumstances...
February 14, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28190516/changes-in-the-correlation-between-spatial-and-temporal-source-memory-performance-and-bold-activity-across-the-adult-lifespan
#18
E Ankudowich, S Pasvanis, M N Rajah
Studies investigating age-related functional differences associated with source memory have recently focused on the importance of clarifying the relationship between effects of age and performance on memory-related brain activations. One methodological challenge has been in discriminating between effects of age on memory-related brain activations that are independent from age-related differences in performance. In the current study, event-related functional magnetic resonance imaging (fMRI) was used to identify brain activity during spatial and temporal source encoding and retrieval across the adult lifespan...
January 12, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28186877/discriminative-dimensionality-reduction-for-multi-dimensional-sequences
#19
Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu
Since the observables at particular time instants in a temporal sequence exhibit dependencies, they are not independent samples. Thus, it is not plausible to apply i.i.d. assumption-based dimensionality reduction methods to sequence data. This paper presents a novel supervised dimensionality reduction approach for sequence data, called Linear Sequence Discriminant Analysis (LSDA). It learns a linear discriminative projection of the feature vectors in sequences to a lower-dimensional subspace by maximizing the separability of the sequence classes such that the entire sequences are holistically discriminated...
February 7, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28181991/optimal-asymmetry-and-other-motion-parameters-that-characterise-high-quality-female-dance
#20
Kristofor McCarty, Hannah Darwin, Piers L Cornelissen, Tamsin K Saxton, Martin J Tovée, Nick Caplan, Nick Neave
Dance is a universal human behaviour that is observed particularly in courtship contexts, and that provides information that could be useful to potential partners. Here, we use a data-driven approach to pinpoint the movements that discriminate female dance quality. Using 3D motion-capture we recorded women whilst they danced to a basic rhythm. Video clips of 39 resultant avatars were rated for dance quality, and those ratings were compared to quantitative measurements of the movement patterns using multi-level models...
February 9, 2017: Scientific Reports
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