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Ryan M Berns, Emily J Tomayko, Kate A Cronin, Ronald J Prince, Tassy Parker, Alexandra K Adams
American Indian (AI) children are disproportionately affected by unintentional injuries, with injury mortality rates approximately 2.3 times higher than the combined rates for all children in the United States. Although multiple risk factors are known to contribute to these increased rates, a comprehensive, culturally informed curriculum that emphasizes child safety is lacking for this population. In response to this need, academic and tribal researchers, tribal community members, tribal wellness staff, and national child safety experts collaborated to develop a novel child safety curriculum...
December 2, 2016: Journal of Primary Prevention
Vera A Morgan, Anna Waterreus, Vaughan Carr, David Castle, Martin Cohen, Carol Harvey, Cherrie Galletly, Andrew Mackinnon, Patrick McGorry, John J McGrath, Amanda L Neil, Suzy Saw, Johanna C Badcock, Debra L Foley, Geoff Waghorn, Sarah Coker, Assen Jablensky
OBJECTIVE: The objective is to summarise recent findings from the 2010 Australian Survey of High Impact Psychosis (SHIP) and examine their implications for future policy and planning to improve mental health, physical health and other circumstances of people with a psychotic disorder. METHODS: Survey of High Impact Psychosis collected nationally representative data on 1825 people with psychotic illness. Over 60 papers have been published covering key challenges reported by participants: financial problems, loneliness and social isolation, unemployment, poor physical health, uncontrolled symptoms of mental illness, and lack of stable, suitable housing...
December 1, 2016: Australian and New Zealand Journal of Psychiatry
Ci Chen, Zhi Liu, Kan Xie, Yun Zhang, C L Philip Chen
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pure-feedback stochastic systems. The control goal is realized by proposing a novel semi-Nussbaum function-based technique and employing it in adaptive backstepping controller design. The proposed Nussbaum function is integrated with adaptive control technique to guarantee that the tracking error is asymptotically stable in probability...
November 28, 2016: IEEE Transactions on Cybernetics
Arnab Maity, Leonhard Hocht, Christian Heise, Florian Holzapfel
A new efficient adaptive optimal control approach is presented in this paper based on the indirect model reference adaptive control (MRAC) architecture for improvement of adaptation and tracking performance of the uncertain system. The system accounts here for both matched and unmatched unknown uncertainties that can act as plant as well as input effectiveness failures or damages. For adaptation of the unknown parameters of these uncertainties, the frequency selective learning approach is used. Its idea is to compute a filtered expression of the system uncertainty using multiple filters based on online instantaneous information, which is used for augmentation of the update law...
November 28, 2016: IEEE Transactions on Cybernetics
Mingming Li, Shuzhi Sam Ge, Tong Heng Lee
This paper presents a novel content-driven associative memory (CDAM) to associate large-scale color images based on the subjects that represent the images' content. Compared to traditional associative memories, CDAM inherits their tolerance to random noise in images and possesses greater robustness against correlated noise that distorts an image's spatial contextual structure. A three-layer recurrent neural tensor network (RNTN) is designed as the network model of CDAM. Multiple salient objects detection algorithm and partial radial basis function (PRBF) kernel are proposed for subject determination and content-driven association, respectively...
November 29, 2016: IEEE Transactions on Cybernetics
Ming-Feng Wu, Wei-Chang Huang, Chia-Feng Juang, Kai-Ming Chang, Chih-Yu Wen, Yu-Hsuan Chen, Ching-Yi Lin, Yi-Chan Chen, Ching-Cheng Lin
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statuses of blood pressure (BP) before going to sleep and early in the morning as well as other five easily available measurements (age, body mass index (BMI) etc.) so that users can use the system for self-evaluation of OSA. A total of 150 subjects are reviewed retrospectively and categorized as training (120 subjects) and validation (30 subjects) sets by a five-fold cross validation scheme with stratified sampling based on the OSA severity...
December 1, 2016: IEEE Journal of Biomedical and Health Informatics
Longfei Han, Senlin Luo, Huaiqing Wang, Limin Pan, Xincheng Ma, Tiemei Zhang
Having a system to stratify individuals according to risk is key to clinical disease prevention, this allows individuals identified at different risk tiers benefit from further investigation and intervention. But the same risk score estimated for two different persons doesn't mean they need the same further investigation or represent the similarity health condition between two persons. Meanwhile, users still does not know a prior what most of the risk tiers are, and how many tiers should be found in risk stratification...
November 29, 2016: IEEE Journal of Biomedical and Health Informatics
Luis A Vazquez, Francisco Jurado, Carlos E Castaneda, Victor Santibanez
This paper presents a continuous-time decentralized neural control scheme for trajectory tracking of a two degrees of freedom direct drive vertical robotic arm. A decentralized recurrent high-order neural network (RHONN) structure is proposed to identify online, in a series-parallel configuration and using the filtered error learning law, the dynamics of the plant. Based on the RHONN subsystems, a local neural controller is derived via backstepping approach. The effectiveness of the decentralized neural controller is validated on a robotic arm platform, of our own design and unknown parameters, which uses industrial servomotors to drive the joints...
December 1, 2016: IEEE Transactions on Neural Networks and Learning Systems
Ali Shafti, Roger Ribas Manero, Amanda Borg, Kaspar Althoefer, Matthew Howard
Muscle activity monitoring or Electromyography (EMG) is a useful tool. However, EMG is typically invasive, expensive and difficult to use for untrained users. A possible solution is textile-based surface EMG (sEMG) integrated into clothing as a wearable device. This is, however, challenging due to (i) uncertainties in the electrical properties of conductive threads used for electrodes, (ii) imprecise fabrication technologies (e.g., embroidery, sewing), and (iii) lack of standardization in design variable selection...
December 1, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Sunil Jaiswal, Lu Fang, Vinit Jakhetiya, Jiahao Pang, Klaus Mueller, Oscar C Au
Color filter array (CFA) interpolation, or 3-band demosaicking, is a process of interpolating the missing color samples in each band to reconstruct a full color image. In this paper, we are concerned with the challenging problem of multispectral demosaicking, where each band is significantly undersampled due to the increment in the number of bands. Specifically, we demonstrate a frequency-domain analysis of the subsampled color-difference signal and observe that the conventional assumption of highly correlated spectral bands for estimating undersampled components is not precise...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Guang Deng
Edge-aware smoothing has been extensively studied due to its wide range of applications in computer vision and graphics.Most published works have been focused on formulating the smoothing problem in the spatial domain. In this paper, we propose a new edge-aware smoothing framework called guided wavelet shrinkage (GWS) which is formulated in the wavelet domain as a maximum a posterior estimation problem. We impose a number of desirable properties on the statistical models and the associated parameters in order to derive an effective and computationally efficient algorithm...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Jia Li, Chenyan Bai, Zhouchen Lin, Jian Yu
In most of existing digital cameras, color images have to be reconstructed from raw images which only have one color sensed at each pixel, as their imaging sensors are covered by color filter arrays (CFAs). At each pixel a CFA usually allows only a portion of the light spectrum to pass through and thereby reduces the light sensitivity of pixels. To address this issue, previous works have explored adding panchromatic pixels into CFAs. However, almost all existing methods assign panchromatic pixels empirically, making the designed CFAs prone to aliasing artifacts...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Atul Ingle, Tomy Varghese, William Sethares
Percutaneous needle-based liver ablation procedures are becoming increasingly common for treatment of small isolated tumors in hepatocellular carcinoma patients who are not candidates for surgery. Rapid three dimensional visualization of liver ablations has potential clinical value because it can enable interventional radiologists to plan and execute needle-based ablation procedures with real time feedback. Ensuring the right volume of tissue is ablated is desirable to avoid recurrence of tumors from residual untreated cancerous cells...
November 29, 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Hamed Rabiei, Frederic Richard, Olivier Coulon, Julien Lefevre
Gyrification index (GI) is an appropriate measure to quantify the complexity of the cerebral cortex. There is, however, no universal agreement on the notion of surface complexity and there are various methods in literature that evaluate different aspects of cortical folding. In this paper, we give two intuitive interpretations on folding quantification based on the magnitude and variation of the mean curvature of the cortical surface. We then present a local spectral analysis of the mean curvature to introduce two local gyrification indices that satisfy our interpretations...
November 29, 2016: IEEE Transactions on Medical Imaging
Almonir Abdulgader Mansour, Thottam S Kalkur
A switchable and tunable bulk acoustic wave (BAW) duplexer for RF applications is presented in this paper. The fabricated BAW duplexer was built on sapphire substrate using solidly mounted resonators. A metal-organic solution deposition technique was used to form resonators with barium strontium titanate (BST) thin film and six layers of silicon dioxide and tantalum oxide as Bragg reflector. By applying dc bias, the BST thin film shows an electrostrictive effect, and the two filter paths of the BAW duplexer switch to a bandpass response with center frequencies at 4...
December 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Hyo-Seon Yoon, Chienliu Chang, Ji Hoon Jang, Anshuman Bhuyan, Jung Woo Choe, Amin Nikoozadeh, Ronald D Watkins, Douglas N Stephens, Kim Butts Pauly, Butrus T Khuri-Yakub
High-intensity focused ultrasound (HIFU) has been used as noninvasive treatment for various diseases. For these therapeutic applications, capacitive micromachined ultrasonic transducers (CMUTs) have advantages that make them potentially preferred transducers over traditional piezoelectric transducers. In this paper, we present the design and the fabrication process of an 8 ×8 -mm (2) 32 ×32 -element 2-D CMUT array for HIFU applications. To reduce the system complexity for addressing the 1024 transducer elements, we propose to group the CMUT array elements into eight HIFU channels based on the phase delay from the CMUT element to the targeted focal point...
December 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Teodora Szasz, Adrian Basarab, Denis Kouame
Beamforming (BF) in ultrasound (US) imaging has significant impact on the quality of the final image, controlling its resolution and contrast. Despite its low spatial resolution and contrast, delay-and-sum (DAS) is still extensively used nowadays in clinical applications, due to its real-time capabilities. The most common alternatives are minimum variance (MV) method and its variants, which overcome the drawbacks of DAS, at the cost of higher computational complexity that limits its utilization in real-time applications...
December 2016: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Alsharif Abuadbba, Ibrahim Khalil
Remote points-of-care has recently had a lot of attention for their advantages such as saving lives and cost reduction. The transmitted streams usually contain (1) normal biomedical signals (e.g. ECG) and (2) highly private information (e.g. patient identity). Despite the obvious advantages, the primary concerns are privacy and authenticity of the transferred data. Therefore, this paper introduces a novel steganographic mechanism that ensures (1) strong privacy preservation of private information by random concealing inside the transferred signals employing a key, and (2) evidence of originality for the biomedical signals...
November 29, 2016: IEEE Transactions on Bio-medical Engineering
N Honnorat, T D Satterthwaite, R E Gur, R C Gur, C Davatzikos
BACKGROUND: Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for. New Method: In this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations...
November 29, 2016: Journal of Neuroscience Methods
Sara J Czaja, David A Loewenstein, Chin Chin Lee, Shih Hua Fu, Philip D Harvey
Current functional capacity (FC) measures for patients with schizophrenia typically involve informant assessments or are in paper and pencil format, requiring in-person administration by a skilled assessor. This approach presents logistic problems and limits the possibilities for remote assessment, an important issue for these patients. This study evaluated the feasibility of using a computer-based assessment battery, including simulations of everyday activities. The battery was compared to in-person standard assessments of cognition and FC with respect to baseline convergence and sensitivity to group differences...
November 29, 2016: Schizophrenia Research
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