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https://www.readbyqxmd.com/read/28729235/improving-adherence-to-web-based-and-mobile-technologies-for-people-with-psychosis-systematic-review-of-new-potential-predictors-of-adherence
#1
Clare Killikelly, Zhimin He, Clare Reeder, Til Wykes
BACKGROUND: Despite the boom in new technologically based interventions for people with psychosis, recent studies suggest medium to low rates of adherence to these types of interventions. The benefits will be limited if only a minority of service users adhere and engage; if specific predictors of adherence can be identified then technologies can be adapted to increase the service user benefits. OBJECTIVE: The study aimed to present a systematic review of rates of adherence, dropout, and approaches to analyzing adherence to newly developed mobile and Web-based interventions for people with psychosis...
July 20, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28727554/a-human-humanoid-interaction-through-the-use-of-bci-for-locked-in-als-patients-using-neuro-biological-feedback-fusion
#2
Rosario Sorbello, Salvatore Tramonte, Marcello Giardina, Vincenzo La Bella, Rossella Spataro, Brendan Allison, Christoph Guger, Antonio Chella
This paper illustrates a new architecture for a human-humanoid interaction based on EEG-Brain Computer Interface (EEG-BCI) for patients affected by locked-in syndrome caused by Amyotrophic Lateral Sclerosis (ALS). The proposed architecture is able to recognise users' mental state accordingly to the biofeedback factor Bf , based on users' Attention, Intention and Focus, that is used to elicit a robot to perform customised behaviours. Experiments have been conducted with a population of 8 subjects: 4 ALS patients in a near Locked-in status with normal ocular movement and 4 healthy control subjects enrolled for age, education and computer expertise...
July 18, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28724534/m6aviewer-software-for-the-detection-analysis-and-visualization-of-n6-methyl-adenosine-peaks-from-m6a-seq-me-rip-sequencing-data
#3
Agne Antanaviciute, Belinda Baquero-Perez, Christopher M Watson, Sally M Harrison, Carolina Lascelles, Laura Crinnion, Alexander F Markham, David T Bonthron, Adrian Whitehouse, Ian M Carr
Recent methods for transcriptome-wide N6-methyl-adenosine(m6A) profiling have facilitated investigations into the RNA methylome and established m6A as a dynamic modification that has critical regulatory roles in gene expression and may play a role in human disease. However, bioinformatics resources available for the analysis of m6A sequencing data are still limited. Here, we describe m6aViewer - a cross-platform application for analysis and visualisation of m6A peaks from sequencing data. m6aViewer implements a novel m6A peak-calling algorithm that identifies high-confidence methylated residues with more precision than previously described approaches...
July 19, 2017: RNA
https://www.readbyqxmd.com/read/28721033/interfaces-and-ventilator-settings-for-long-term-noninvasive-ventilation-in-copd-patients
#4
Jens Callegari, Friederike Sophie Magnet, Steven Taubner, Melanie Berger, Sarah Bettina Schwarz, Wolfram Windisch, Jan Hendrik Storre
INTRODUCTION: The establishment of high-intensity (HI) noninvasive ventilation (NIV) that targets elevated PaCO2 has led to an increase in the use of long-term NIV to treat patients with chronic hypercapnic COPD. However, the role of the ventilation interface, especially in more aggressive ventilation strategies, has not been systematically assessed. METHODS: Ventilator settings and NIV compliance were assessed in this prospective cross-sectional monocentric cohort study of COPD patients with pre-existing NIV...
2017: International Journal of Chronic Obstructive Pulmonary Disease
https://www.readbyqxmd.com/read/28720438/on-the-utility-of-3d-hand-cursors-to-explore-medical-volume-datasets-with-a-touchless-interface
#5
Daniel Simões Lopes, Pedro Duarte de Figueiredo Parreira, Soraia Figueiredo Paulo, Vitor Nunes, Paulo Amaral Rego, Manuel Cassiano Neves, Pedro Silva Rodrigues, Joaquim Armando Jorge
Analyzing medical volume datasets requires interactive visualization so that users can extract anatomo-physiological information in real-time. Conventional volume rendering systems rely on 2D input devices, such as mice and keyboards, which are known to hamper 3D analysis as users often struggle to obtain the desired orientation that is only achieved after several attempts. In this paper, we address which 3D analysis tools are better performed with 3D hand cursors operating on a touchless interface comparatively to a 2D input devices running on a conventional WIMP interface...
July 15, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28719603/the-%C3%A2-100-lab-a-3d-printable-open-source-platform-for-fluorescence-microscopy-optogenetics-and-accurate-temperature-control-during-behaviour-of-zebrafish-drosophila-and-caenorhabditis-elegans
#6
Andre Maia Chagas, Lucia L Prieto-Godino, Aristides B Arrenberg, Tom Baden
Small, genetically tractable species such as larval zebrafish, Drosophila, or Caenorhabditis elegans have become key model organisms in modern neuroscience. In addition to their low maintenance costs and easy sharing of strains across labs, one key appeal is the possibility to monitor single or groups of animals in a behavioural arena while controlling the activity of select neurons using optogenetic or thermogenetic tools. However, the purchase of a commercial solution for these types of experiments, including an appropriate camera system as well as a controlled behavioural arena, can be costly...
July 2017: PLoS Biology
https://www.readbyqxmd.com/read/28718781/latent-variable-method-for-automatic-adaptation-to-background-states-in-motor-imagery-bci
#7
Nikolay Dagaev, Ksenia Volkova, Alexei Ossadtchi
<i>Objective</i>. Brain-computer interface (BCI) systems are known to be vulnerable to variabilities in background states of a user. Usually, no detailed information on these states is available even during the training stage. Thus there is a need in a method which is capable of taking background states into account in an unsupervised way. <i>Approach</i>. We propose a latent variable method that is based on a probabilistic model with a discrete latent variable. In order to estimate the model's parameters, we suggest to use the expectation maximization (EM) algorithm...
July 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28715693/recommender-system-based-on-scarce-information-mining
#8
Wei Lu, Fu-Lai Chung, Kunfeng Lai, Liang Zhang
Guessing what user may like is now a typical interface for video recommendation. Nowadays, the highly popular user generated content sites provide various sources of information such as tags for recommendation tasks. Motivated by a real world online video recommendation problem, this work targets at the long tail phenomena of user behavior and the sparsity of item features. A personalized compound recommendation framework for online video recommendation called Dirichlet mixture probit model for information scarcity (DPIS) is hence proposed...
May 31, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28713233/the-role-of-the-interplay-between-stimulus-type-and-timing-in-explaining-bci-illiteracy-for-visual-p300-based-brain-computer-interfaces
#9
Roberta Carabalona
Visual P300-based Brain-Computer Interface (BCI) spellers enable communication or interaction with the environment by flashing elements in a matrix and exploiting consequent changes in end-user's brain activity. Despite research efforts, performance variability and BCI-illiteracy still are critical issues for real world applications. Moreover, there is a quite unaddressed kind of BCI-illiteracy, which becomes apparent when the same end-user operates BCI-spellers intended for different applications: our aim is to understand why some well performers can become BCI-illiterate depending on speller type...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28711345/working-at-the-intersection-of-context-culture-and-technology-provider-perspectives-on-antimicrobial-stewardship-in-the-emergency-department-using-electronic-health-record-clinical-decision-support
#10
Phillip Chung, Jean Scandlyn, Peter S Dayan, Rakesh D Mistry
BACKGROUND: Antibiotic stewardship programs (ASPs) have not been fully developed for the emergency department (ED), in part the result of the barriers characteristic of this setting. Electronic health record-based clinical decision support (EHR CDS) represents a promising strategy to implement ASPs in the ED. We aimed to determine the cultural beliefs and structural barriers and facilitators to implementation of antimicrobial stewardship in the pediatric ED using EHR CDS. METHODS: Interviews and focus groups were conducted with hospital and ED leadership, attending ED physicians, nurse practitioners, physician assistants, and residents at a single health system in Colorado...
July 12, 2017: American Journal of Infection Control
https://www.readbyqxmd.com/read/28709856/developing-smartphone-apps-for-behavioural-studies-the-alcorisk-app-case-study
#11
Anthony Smith, Kristy de Salas, Ian Lewis, Benjamin Schüz
Advances in mobile technology and significantly increasing utilization of mobile devices such as smartphones and tablets have resulted in a paradigm shift from PC-centric computing to mobile computing. The results of careful analysis conducted of this mobile landscape indicate that there is a growing demand for smart, user-centric, situation-aware mobile software. Invariably, concomitant with this demand is the need for methodologies that can provide support the development of this type of software. In this paper, we propose a semantic framework, called the mobile situation-aware framework, which supports efficient modeling, construction, processing, management, and inference of mobile situation information...
July 11, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28708963/a-qualitative-study-adopting-a-user-centered-approach-to-design-and-validate-a-brain-computer-interface-for-cognitive-rehabilitation-for-people-with-brain-injury
#12
Suzanne Martin, Elaine Armstrong, Eileen Thomson, Eloisa Vargiu, Marc Solà, Stefan Dauwalder, Felip Miralles, Jean Daly Lynn
Cognitive rehabilitation is established as a core intervention within rehabilitation programs following a traumatic brain injury (TBI). Digitally enabled assistive technologies offer opportunities for clinicians to increase remote access to rehabilitation supporting transition into home. Brain Computer Interface (BCI) systems can harness the residual abilities of individuals with limited function to gain control over computers through their brain waves. This paper presents an online cognitive rehabilitation application developed with therapists, to work remotely with people who have TBI, who will use BCI at home to engage in the therapy...
July 14, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/28708831/biochem4j-integrated-and-extensible-biochemical-knowledge-through-graph-databases
#13
Neil Swainston, Riza Batista-Navarro, Pablo Carbonell, Paul D Dobson, Mark Dunstan, Adrian J Jervis, Maria Vinaixa, Alan R Williams, Sophia Ananiadou, Jean-Loup Faulon, Pedro Mendes, Douglas B Kell, Nigel S Scrutton, Rainer Breitling
Biologists and biochemists have at their disposal a number of excellent, publicly available data resources such as UniProt, KEGG, and NCBI Taxonomy, which catalogue biological entities. Despite the usefulness of these resources, they remain fundamentally unconnected. While links may appear between entries across these databases, users are typically only able to follow such links by manual browsing or through specialised workflows. Although many of the resources provide web-service interfaces for computational access, performing federated queries across databases remains a non-trivial but essential activity in interdisciplinary systems and synthetic biology programmes...
2017: PloS One
https://www.readbyqxmd.com/read/28707211/high-accuracy-drilling-with-an-image-guided-light-weight-robot-autonomous-versus-intuitive-feed-control
#14
Sebastian Tauscher, Alexander Fuchs, Fabian Baier, Lüder A Kahrs, Tobias Ortmaier
PURPOSE: Assistance of robotic systems in the operating room promises higher accuracy and, hence, demanding surgical interventions become realisable (e.g. the direct cochlear access). Additionally, an intuitive user interface is crucial for the use of robots in surgery. Torque sensors in the joints can be employed for intuitive interaction concepts. Regarding the accuracy, they lead to a lower structural stiffness and, thus, to an additional error source. The aim of this contribution is to examine, if an accuracy needed for demanding interventions can be achieved by such a system or not...
July 13, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28706725/avatars-and-virtual-agents-relationship-interfaces-for-the-elderly
#15
REVIEW
Nava A Shaked
In the Digital Era, the authors witness a change in the relationship between the patient and the care-giver or Health Maintenance Organization's providing the health services. Another fact is the use of various technologies to increase the effectiveness and quality of health services across all primary and secondary users. These technologies range from telemedicine systems, decision making tools, online and self-services applications and virtual agents; all providing information and assistance. The common thread between all these digital implementations, is they all require human machine interfaces...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28706482/samuroi-a-python-based-software-tool-for-visualization-and-analysis-of-dynamic-time-series-imaging-at-multiple-spatial-scales
#16
Martin Rueckl, Stephen C Lenzi, Laura Moreno-Velasquez, Daniel Parthier, Dietmar Schmitz, Sten Ruediger, Friedrich W Johenning
The measurement of activity in vivo and in vitro has shifted from electrical to optical methods. While the indicators for imaging activity have improved significantly over the last decade, tools for analysing optical data have not kept pace. Most available analysis tools are limited in their flexibility and applicability to datasets obtained at different spatial scales. Here, we present SamuROI (Structured analysis of multiple user-defined ROIs), an open source Python-based analysis environment for imaging data...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28705234/in-silico-characterization-of-cell-cell-interactions-using-a-cellular-automata-model-of-cell-culture
#17
Takanori Kihara, Kosuke Kashitani, Jun Miyake
BACKGROUND: Cell proliferation is a key characteristic of eukaryotic cells. During cell proliferation, cells interact with each other. In this study, we developed a cellular automata model to estimate cell-cell interactions using experimentally obtained images of cultured cells. RESULTS: We used four types of cells; HeLa cells, human osteosarcoma (HOS) cells, rat mesenchymal stem cells (MSCs), and rat smooth muscle A7r5 cells. These cells were cultured and stained daily...
July 14, 2017: BMC Research Notes
https://www.readbyqxmd.com/read/28701078/effects-of-context-aware-patient-guidance-on-blood-pressure-self-measurement-adherence-levels
#18
Camilla Lindahl, Stefan Wagner, Niels Uldbjerg, Jacob Mørup Schlütter, Olav Bertelsen, Puk Sandager
Hypertensive disease and preeclampsia are serious medical disorders affecting pregnancy. Screening in early pregnancy may identify women at risk of developing hypertensive disease and enable prophylactic treatment. Accurate blood pressure measurement is an important part of this screening. The aim of this study was to investigate whether patients, with the aid of a context-aware sensor-based blood pressure self-measurement system, were able to correctly self-measure their blood pressure adhering to internationally established recommendations...
July 1, 2017: Health Informatics Journal
https://www.readbyqxmd.com/read/28696831/preliminary-testing-by-adults-of-a-haptics-assisted-robot-platform-designed-for-children-with-physical-impairments-to-access-play
#19
Isao Sakamaki, Kim Adams, Maria Fernanda Gomez Medina, Javier Leonardo Castellanos Cruz, Nooshin Jafari, Mahdi Tavakoli, Heidi Janz
Development of children's cognitive and perceptual skills depends heavily on object exploration and experience in their physical world. For children who have severe physical impairments, one of the biggest concerns is the loss of opportunities for meaningful play with objects, including physical contact and manipulation. Assistive robots can enable children to perform object manipulation through the control of simple interfaces. Touch sensations conveyed through haptic interfaces in the form of force reflection or force assistance can help a child to sense the environment and to control a robot...
July 11, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/28695927/a-3d-printed-mini-hydrocyclone-for-high-throughput-particle-separation-application-to-primary-harvesting-of-microalgae
#20
Maira Shakeel Syed, Mehdi Rafeie, Rita Henderson, Dries Vandamme, Mohsen Asadnia, Majid Ebrahimi Warkiani
The separation of micro-sized particles in a continuous flow is crucial part of many industrial processes, from biopharmaceutical manufacturing to water treatment. Conventional separation techniques such as centrifugation and membrane filtration are largely limited by factors such as clogging, processing time and operation efficiency. Microfluidic based techniques have been gaining great attention in recent years as efficient and powerful approaches for particle-liquid separation. Yet the production of such systems using standard micro-fabrication techniques is proven to be tedious, costly and have cumbersome user interfaces, which all render commercialization difficult...
July 11, 2017: Lab on a Chip
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