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VICOMTECH-IK4, Spain

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23 Papers

ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool

Topics: Decision Support Systems; Healthcare Management Systems; Data Visualization; Human-Machine Interfaces; eHealth Applications

Authors: Mikel Garmendia ¹ , Gorka Epelde ¹ , Beñat Zabala ¹ , Aurora Sucre ¹ , Arantxa Etxeberria ² , Gerardo Cajaraville ² , Jon Belloso ² , José Luengo ³ and Soraya Camarero ³

Affiliations: ¹ Vicomtech, Mikeletegi Pasealekua, 57, 20009, Donostia-San Sebastian and Spain , ² Onkologikoa Foundation, Doctor Begiristain Pasealekua, 121, 20014, Donostia-San Sebastián and Spain , ³ Dominion, Ibáñez de Bilbao Kalea, 28, 48009 Bilbao and Spain

Digital Object Identifier: 10.5220/0007250101900198

Proceedings of HEALTHINF 2019, ISBN: 978-989-758-353-7

Quick Abstract

This paper presents a medical oncology follow-up visualisation tool developed following a co-design approach. The co-design and development of the solution has succeed involving a team of end-users (oncologists and nurses), UX and design experts and technology development experts. As a result, a medical oncology follow-up visualisation solution has been developed showing temporally aligned heterogeneous health data. The outcome of the co-design process has been to develop the solution in four different aggregation level views; (1) General timeline overview, (2) Medication treatment cycle view, (3) Detailed patient reported outcome / bloodwork’s’ view and (4) Medical image analysis focussed view.

Related Ontology Subjects/Areas/Topics (20)

Artificial Intelligence	Data Manipulation	Human-Machine Interfaces
Biomedical Engineering	Data Visualization	Informatics in Control, Automation and Robotics
Business Analytics	Decision Support Systems	Knowledge-Based Systems
Cardiovascular Technologies	Decision Support Systems, Remote Data Analysis	Robotics and Automation
Computing and Telecommunications in Cardiology	Health Engineering and Technology Applications	Sensor Networks
Data Engineering	Health Information Systems	Symbolic Systems
Data Management and Quality	Healthcare Management Systems

Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques

Topics: Decision Support Systems; Data Mining; Development of Assistive Technology; Pattern Recognition and Machine Learning; Application of Health Informatics in Clinical Cases

Authors: Jon Kerexeta ¹ , Arkaitz Artetxe ¹ , Vanessa Escolar ² , Ainara Lozano ² and Nekane Larburu ¹

Affiliations: ¹ Vicomtech-IK4 Research Centre and Biodonostia Health Research Institute, Spain , ² Hospital Universitario de Basurto (Osakidetza Health Care System), Spain

Digital Object Identifier: 10.5220/0006542103080315

Proceedings of HEALTHINF 2018, ISBN: 978-989-758-281-3

Quick Abstract

Heart Failure (HF) is a syndrome that reduces patients’ quality of life, and has severe impacts on healthcare systems worldwide, such as the high rate of readmissions. In order to reduce the readmissions and improve patients’ quality of life, several studies are trying to assess the risk of a patient to be readmitted, so that taking right actions clinicians can prevent patient deterioration and readmission. Predictive models have the ability to identify patients at high risk. Henceforth, this paper studies predictive models to determine the risk of a HF patient to be readmitted in the next 30 days after discharge. We present two different approaches. In the first one, we combine unsupervised and supervised classification and achieved AUC score of 0.64. In the second one, we combine decision tree and Naïve Bayes classifiers and achieved AUC score of 0.61. Additionally, we discover that the results improve when training the predictive models with different readmission’s threshold outcome, reaching the AUC score of 0.73 when applying the first approach.

Related Ontology Subjects/Areas/Topics (20)

Artificial Intelligence	Databases and Information Systems Integration	Knowledge-Based Systems
Biomedical Engineering	Decision Support Systems	Pattern Recognition and Machine Learning
Business Analytics	Decision Support Systems, Remote Data Analysis	Sensor Networks
Cardiovascular Technologies	Development of Assistive Technology	Signal Processing
Computing and Telecommunications in Cardiology	Enterprise Information Systems	Soft Computing
Data Engineering	Health Engineering and Technology Applications	Symbolic Systems
Data Mining	Health Information Systems

Interaction Challenges in the Development of a Fire Warden VR Training System using a HMD

Topics: Interactive Systems for Education and Training; Virtual, Augmented and Mixed Reality; Interaction Devices and Immersive Displays; 3D Interaction Techniques and Metaphores

Authors: Helen V. Diez ¹ , Aitor Moreno ¹ and Alejandro Garcia-Alonso ²

Affiliations: ¹ Vicomtech-IK4, Spain , ² University of the Basque Country, Spain

Digital Object Identifier: 10.5220/0006133400840091

Proceedings of HUCAPP 2017/VISIGRAPP, ISBN: 978-989-758-229-5

Quick Abstract

This paper presents challenges encountered when interacting with 3D environments by means of Virtual Reality devices in a seated position. A use case has been devised and developed to support this work: a fire warden virtual training system. The users interact with the virtual environment with a combination of a Head- Mounted Display and other assisting devices to complement the virtual experience (keyboard, gamepad, leap motion). This work points out the benefits achieved using virtual reality in this environment and it exposes the limitations experimented by humans in such situations. With the knowledge gathered with these experiments this paper proposes interaction techniques to overcome them.

Interactive Visualization of DICOM Volumetric Datasets in the Web - Providing VR Experiences within the Web Browser

Topics: Biomedical Visualization and Applications; Gpu-Based Visualization; Interactive Visual Interfaces for Visualization; Internet, Web and Security Visualization; Virtual Environments and Data Visualization; Visualization Applications; Volume Visualization; Scientific Visualization

Authors: Ander Arbelaiz ¹ , Aitor Moreno ¹ , Luis Kabongo ¹ , Helen V. Diez ¹ and Alejandro García Alonso ²

Affiliations: ¹ Vicomtech-IK4, Spain , ² University of the Basque Country, Spain

Digital Object Identifier: 10.5220/0006154801080115

Proceedings of IVAPP 2017/VISIGRAPP, ISBN: 978-989-758-228-8

Quick Abstract

Recently the possibility to visualize interactively volumetric datasets in the Web has opened new methods of exploration and sharing of 3D images coming from different fields. At the same time, VR technologies are gaining momentum in the society, where several HMD’s are ready to be bought. This paper presents how volumetric datasets represented as DICOM images can be loaded and visualized interactively in a WebVR compatible setup. DICOM images are loaded from local or remote repositories into X3D volume rendering nodes, which are displayed in the VR devices using WebVR technology. The results show that WebVR and X3D are compatible web technologies that can be joined together to provide easy and extensible tools to interact with DICOM datasets. Some enhancements for the interactive VR and non-VR experiences are presented.

Related Ontology Subjects/Areas/Topics (12)

Abstract Data Visualization	Gpu-Based Visualization	Spatial Data Visualization
Biomedical Visualization and Applications	Interactive Visual Interfaces for Visualization	Virtual Environments and Data Visualization
Computer Vision, Visualization and Computer Graphics	Internet, Web and Security Visualization	Visualization Applications
General Data Visualization	Scientific Visualization	Volume Visualization

Towards a Diminished Reality System that Preserves Structures and Works in Real-time

Topics: Image Enhancement and Restoration; Visual Attention and Image Saliency; Object Detection and Localization

Authors: Hugo Álvarez ¹ , Jon Arrieta ² and David Oyarzun ³

Affiliations: ¹ Vicomtech-Ik4, Spain , ² CAF Signalling, Spain , ³ Nuavis, Spain

Digital Object Identifier: 10.5220/0006097803340343

Proceedings of VISAPP 2017/VISIGRAPP, ISBN: 978-989-758-225-7

Quick Abstract

This paper presents a Diminished Reality system that is able to propagate textures as well as structures with a low computational cost, almost in real-time. An existing inpainting algorithm is optimized in order to reduce the high computational cost by implementing some Computer Vision techniques. Although some of the presented optimizations can be applied to a single static image directly, the global system is mainly oriented to video sequences, where temporal coherence ideas can be applied. Given that, a novel pipeline is proposed to maintain the visual quality of the reconstructed image area without the need of calculating everything again despite slow camera motions. To the best of our knowledge, the prototype presented in this paper is the only Diminished Reality system focused on structure propagation that works near real-time. Apart from the technical description, this paper presents an extensive experimental study of the system, which evaluates the optimizations in terms of time and quality.

Related Ontology Subjects/Areas/Topics (5)

Computer Vision, Visualization and Computer Graphics		Image Enhancement and Restoration		Visual Attention and Image Saliency
Image and Video Analysis		Image Formation and Preprocessing

Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization

Topics: Visual Data Analysis and Knowledge Discovery; Visual Representation and Interaction; Interactive Visual Interfaces for Visualization; Interface and Interaction Techniques for Visualization; Visualization Algorithms and Technologies

Authors: Arkaitz Artetxe , Gorka Epelde , Andoni Beristain , Ane Murua and Roberto Álvarez

Affiliation: Vicomtech-IK4, Spain

Digital Object Identifier: 10.5220/0005675701150122

Proceedings of IVAPP 2016/VISIGRAPP, ISBN: 978-989-758-175-5

Quick Abstract

This paper presents a new interactive visualization approach which aims to help and support the user in gaining insight over his physical activity data. The main novelty of the proposed visualization approach is the representation of similarities in the physical activity patterns in time using data clustering techniques, in addition to the continuous physical activity representation over a circular chart. This grouping of similar activity patterns helps identifying meaningful events or behaviors, combined with the periodicity highlighting circular charts. The user is able to interact with the visualization during the knowledge discovery process by changing the represented time-scale, time-frame and the number of clusters used for the user’s physical activity pattern categorization. Additionally, the proposed visualization approach allows to easily report and store the insights gained during the visual data analysis process, by adding a textual description linked to the particular user tailored visualization configuration which led to that insight.

Related Ontology Subjects/Areas/Topics (8)

Abstract Data Visualization	Interactive Visual Interfaces for Visualization	Visual Representation and Interaction
Computer Vision, Visualization and Computer Graphics	Interface and Interaction Techniques for Visualization	Visualization Algorithms and Technologies
General Data Visualization	Visual Data Analysis and Knowledge Discovery

Input Encoding Proposal for Behavioral Experiments with a Virtual C. elegans Representation

Authors: Gorka Epelde ¹ , Andoni Mujika ¹ , Roberto Alvarez ¹ , Peter Leškovský ¹ , Alessandro de Mauro ¹ , Finn Krewer ² and Axel Blau ³

Affiliations: ¹ Vicomtech-IK4, Spain , ² National University of Ireland Galway, Ireland , ³ Fondazione Istituto Italiano di Tecnologia, Italy

Digital Object Identifier: 10.5220/0005701801150120

Proceedings of NeBICA 2015/NEUROTECHNIX, ISBN: 978-989-758-161-8

Quick Abstract

This paper discusses a Caenorhabditis elegans (C. elegans) nematode behavioral experiment input encoding. It proposes a common digital representation for behavioral studies with C. elegans. This work is a step forward towards the reproducibility and comparability of in silico simulations of the nematode with real-world experiments. The digital representation is divided into environmental and experimental configurations. The behavioral input is structured by duration-based behavioral experiment types at the top level (i.e. interaction at a specific time, interaction from t0 – t1 and overall duration) and by interaction type (i.e. mechanotaxis, chemotaxis, thermotaxis, galvanotaxis and phototaxis) for each duration-based type. The environment configuration is composed of the identification of the worm’s mutation type, worm crowding, initial location, configuration of the assay plate, and obstacle settings. Parameters are defined by an XML schema to ensure the interoperability with other simulation solutions. It is being implemented and tested in the context of the Si elegans project

Neuronal Activity Visualization using Biologically Accurately Placed Neurons in WebGL

Topics: Artificial Life; Neurobiology; Brain Models and Functions; Simulation Models; Reverse Engineering the Brain

Authors: Andoni Mujika , Peter Leškovský , Gorka Epelde , Roberto Alvarez and David Oyarzun

Affiliation: Vicomtech-ik4, Spain

Digital Object Identifier: 10.5220/0005603600910096

Proceedings of NEUROTECHNIX 2015, ISBN: 978-989-758-161-8

Quick Abstract

This paper describes the design and development of a web interface used for an analysis of neural activities of the Caenorhabditis elegans (C. elegans) nematode, within the framework of the Si elegans project. The Si elegans project develops a platform, where the neural system of C. elegans is emulated in hardware and the physical worm together with the external environment is simulated in software. This platform allows for virtual execution of a variety of behavioural experiments of C. elegans. We use the herein described web interface to post-experimentally visualize the neural activity as well as the worm’s behaviour and allow for its deeper analysis. The web-page joins a 3D virtual environment with the 2D GUI in order to realistically visualize the worm and the emulated neural processes, along with additional configuration information. In the virtual environment, the locomotion of the worm is shown, including the motion of neurons. Visualizing the location of the neurons, the user can understand signal transmission among the neurons in a more intuitive way. In the 2D part, additional information about the neurons is displayed. Mainly, a grid of buttons that shows the actual spiking process of the neurons by colour changes and neuron specific voltage graphs following the potential evolution of selected neurons. We believe that this approach suits the exploration of small neuronal circuits, like is the ones of C. elegans.

Related Ontology Subjects/Areas/Topics (8)

Artificial Intelligence	Evolutionary Computing	Neurotechnology, Electronics and Informatics
Artificial Life	Health Engineering and Technology Applications	Soft Computing
Computational Intelligence	Neurocomputing

VTS | Football - Tracking and Analysing Football Shots

Topics: Simulation and Mathematical Modeling; Sport Statistics and Analyses; Computer Supported Training and Decision Support Systems

Authors: Andoni Mujika ¹ , David Oyarzun ¹ , Jeser Zalba ² , Aitor Ardanza ¹ , Mikel Arizaleta ² , Sara García ¹ and Amalia Ortiz ²

Affiliations: ¹ Vicomtech-ik4, Spain , ² Visiona Technology Systems, Spain

Digital Object Identifier: 10.5220/0005603702390244

Proceedings of icSPORTS 2015, ISBN: 978-989-758-159-5

Quick Abstract

This paper describes VTS | Football, a tool for tracking and analysing football shots. The system tracks the trajectory of the ball using two synchronized cameras, removing all the geometries that are not similar to a ball and extrapolating the position of the ball when it is hidden by the goal keeper. Once the trajectory is obtained, the user can analyse the shot using a tool that has been developed for this purpose. He/she can organize the training sessions, follow the evolution of a player, compare performances of different players and visualize the shot in a 3D virtual environment. To make the visualization smooth, an interpolation algorithm based on least squares methods has been developed and to make the visualization attractive a football player and a crowded stadium have been added to the virtual scene.

Related Ontology Subjects/Areas/Topics (5)

Computer Supported Training		Simulation and Mathematical Modeling		Sport Statistics and Analyses
Computer Systems in Sports		Sport Science Research and Technology

WaPT - Surface Normal Estimation for Improved Template Matching in Visual Tracking

Topics: Image-Based Modeling and 3D Reconstruction; Optical Flow and Motion Analyses; Tracking and Visual Navigation

Authors: Nagore Barrena ¹ , Jairo Roberto Sánchez ¹ and Alejandro García-Alonso ²

Affiliations: ¹ Vicomtech-IK4, Spain , ² University of the Basque Country, Spain

Digital Object Identifier: 10.5220/0005295104960503

Proceedings of VISAPP 2015/VISIGRAPP, ISBN: 978-989-758-091-8

Quick Abstract

This paper presents an algorithm which is an improvement of the template matching technique. The main goal of the algorithm is to match 3D points with their corresponding 2D points in the images. In the presented method, each 3D point is enriched with a normal vector that approximates the orientation of the surface where the 3D point is lying. This normal improves the transfer process of patches providing more precise warped patches, because perspective deformation is taken into account. The results obtained with the proposed transfer method confirm that matching is more accurate than traditional approaches.

Related Ontology Subjects/Areas/Topics (9)

Applications	Image-Based Modeling	Pattern Recognition
Computer Vision, Visualization and Computer Graphics	Motion, Tracking and Stereo Vision	Software Engineering
Geometry and Modeling	Optical Flow and Motion Analyses	Tracking and Visual Navigation

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