Search results for "Computer interface"
showing 10 items of 189 documents
Performance Differences Using a Vibro-Tactile P300 BCI in LIS-Patients Diagnosed With Stroke and ALS
2018
Patients with locked-in syndrome (LIS) are typically unable to move or communicate and can be misdiagnosed as patients with disorders of consciousness (DOC). Behavioral assessment scales are limited in their ability to detect signs of consciousness in this population. Recent research has shown that brain-computer interface (BCI) technology could supplement behavioral scales and allows to establish communication with these severely disabled patients. In this study, we compared the vibro-tactile P300 based BCI performance in two groups of patients with LIS of different etiologies: stroke (n = 6) and amyotrophic lateral sclerosis (ALS) (n = 9). Two vibro-tactile paradigms were administered to …
The human-computer connection: An overview of brain-computer interfaces
2018
This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user’s brain signals. Here we review the current state of the art in the BCI field, discussing the main components of such an interface and illustrating ongoing research questions and prototypes for controlling a large variety of devices, from virtual keyboards for communication to robotics systems to replace lost motor functions and even clinical interventions for motor rehabilitation after a stroke. The article concludes with some insights into the future of BCI.
Sourcing on the internet: Examining the relations among different phases of online inquiry
2021
This study examined students’ engagement in sourcing throughout online inquiry, that is, when they specified the information need, formulated search queries, evaluated online texts, and composed a written product. Participants were 167 upper secondary school students. Students completed an online inquiry task in a restricted online environment that utilized authentic online texts. Students’ prior topic knowledge and reading fluency was measured and controlled for in the analysis. The results showed that students engaged in sourcing even in the earliest phases of online inquiry. A sequential regression analysis indicated that the more frequently students engaged in sourcing in specifying the…
Mutual information-based feature selection for low-cost BCIs based on motor imagery
2016
In the present study a feature selection algorithm based on mutual information (MI) was applied to electro-encephalographic (EEG) data acquired during three different motor imagery tasks from two dataset: Dataset I from BCI Competition IV including full scalp recordings from four subjects, and new data recorded from three subjects using the popular low-cost Emotiv EPOC EEG headset. The aim was to evaluate optimal channels and band-power (BP) features for motor imagery tasks discrimination, in order to assess the feasibility of a portable low-cost motor imagery based Brain-Computer Interface (BCI) system. The minimal sub set of features most relevant to task description and less redundant to…
Processing privacy information and decision-making for smartphone apps among young German smartphone users
2018
While privacy behaviour is generally equated with self-disclosure, other forms of behaviour that potentially infringe an individual’s privacy, such as downloading an app, are being neglected by research. We seek to fill this gap by modelling app decision-making within a dual-process model of the attitude–behaviour relationship and the role of privacy attitudes in two kinds of information processing: (1) spontaneous, heuristic processes that rely on automated attitude activation and (2) elaborate, cognitive processes that rely on behavioural intentions to guide behaviour. We used a quasi-experimental design to investigate app decision-making processes for N = 89 participants in N = 254 decis…
UnipaBCI a novel general software framework for brain computer interface
2017
The increasing interest in Brain Computer Interface (BCI) requires new fast, reliable and scalable frameworks that can be used by researchers to develop BCI based high performance applications in efficient and fast ways. In this paper is presented "UnipaBCI", a general software framework for BCI applications based on electroencephalogra-phy (EEG) that can fulfill these new needs. A visual evoked potentials (VEP) application has also been developed using the proposed framework in order to test the modular architecture and the overall performance. Different types of users (beginners and experts in BCI) have been involved during the "UnipaBCI" experimental test and they have exhibited good and…
Galaxy LIMS for next-generation sequencing.
2013
Abstract Summary: We have developed a laboratory information management system (LIMS) for a next-generation sequencing (NGS) laboratory within the existing Galaxy platform. The system provides lab technicians standard and customizable sample information forms, barcoded submission forms, tracking of input sample quality, multiplex-capable automatic flow cell design and automatically generated sample sheets to aid physical flow cell preparation. In addition, the platform provides the researcher with a user-friendly interface to create a request, submit accompanying samples, upload sample quality measurements and access to the sequencing results. As the LIMS is within the Galaxy platform, the …
Mono-stereo-autostereo: the evolution of 3-dimensional neurosurgical planning.
2012
BACKGROUND: In the past decade, surgery planning has changed significantly. The main reason is the improvements in computer graphical rendering power and display technology, which turned the plain graphics of the mid-1990s into interactive stereoscopic objects. OBJECTIVE: To report our experiences with 2 virtual reality systems used for planning neurosurgical operations. METHODS: A series of 208 operations were planned with the Dextroscope (Bracco AMT, Singapore) requiring the use of liquid crystal display shutter glasses. The participating neurosurgeons answered a questionnaire after the planning procedure and postoperatively. In a second prospective series of 33 patients, we used an autos…
Using evaluation criteria and rubrics as learning tools in subtitling for the D/deaf and the hard of hearing
2018
This paper focuses on the use of evaluation criteria and rubrics as tools for training in an audiovisual translation mode: subtitling for the D/deaf and the hard of hearing (SDH). Following an introduction to the current conception of and research carried out on quality assurance and assessment both in the translation industry and academia, a brief overview of the assessment processes and instruments used in SDH university training and in the professional sector is provided. This is followed by a case study of SDH assessment practices in Spain. Two questionnaires were filled in by five service providers and 12 university trainers, and the data gathered has enabled a better understanding of …
Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images
2012
This paper tackles the design of a graphical user interface (GUI) based on Matlab (MathWorks Inc., MA), a worldwide standard in the processing of biosignals, which allows the acquisition of muscular force signals and images from a ultrasound scanner simultaneously. Thus, it is possible to unify two key magnitudes for analyzing the evolution of muscular injuries: the force exerted by the muscle and section/length of the muscle when such force is exerted. This paper describes the modules developed to finally show its applicability with a case study to analyze the functioning capacity of the shoulder rotator cuff.