Ramón Reig-Bolaño

ORCID: 0000-0002-7648-4502
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About
Contact & Profiles
Research Areas
  • Image and Signal Denoising Methods
  • Medical Image Segmentation Techniques
  • Blind Source Separation Techniques
  • Pressure Ulcer Prevention and Management
  • Diabetic Foot Ulcer Assessment and Management
  • Image Retrieval and Classification Techniques
  • Speech and Audio Processing
  • Digital Filter Design and Implementation
  • Wound Healing and Treatments
  • AI in cancer detection
  • Water Quality Monitoring Technologies
  • Identification and Quantification in Food
  • Morphological variations and asymmetry
  • Marine and fisheries research
  • Ichthyology and Marine Biology
  • Mobile Health and mHealth Applications
  • Advanced Data Compression Techniques
  • Seismic Imaging and Inversion Techniques
  • Speech Recognition and Synthesis
  • E-Learning and Knowledge Management
  • Numerical Methods and Algorithms
  • Advanced Image Processing Techniques
  • Satellite Image Processing and Photogrammetry
  • Anomaly Detection Techniques and Applications
  • Neural Networks and Applications

Universitat de Vic - Universitat Central de Catalunya
2011-2025

The Sense Innovation and Research Center
2008

University of Victoria
2008

One of the most important challenges in management and treatment complex wounds is observation measurement different indicators that can be observed on wound over time. This article will present idea addressing this challenge with use images captured a mobile device. The aim work to evaluate digitization systems field chronic as tools support professional improving patient care decision making, well computer vision artificial intelligence improve assessment. An approach based visual...

10.1016/j.imu.2023.101185 article EN cc-by Informatics in Medicine Unlocked 2023-01-01

Several studies have been conducted to analyze the role social networks play in communication between patients and health professionals. However, there is a shortage of relation among primary professionals, professional context, using various mobile phone apps available.The objective our study was explore networking app use care professionals for work-related purposes, by comparing most widely used market.We undertook cross-sectional an anonymous Web survey convenience sample 1635 during...

10.2196/11147 article EN cc-by JMIR mhealth and uhealth 2018-08-25

This paper analyzes the characteristics of an experimental otolith retrieval system based on image contours described with Elliptical Fourier Descriptors (EFD). Otoliths are found in inner ear fish. Their shape can be analyzed to determine sex, age, populations and species, thus they provide necessary relevant information for ecological studies. The we propose was tested by identifying three different Engraulis encrasicolus from family Engraulidae, Pomadasys incisus Haemulidae, two species...

10.1109/nwesp.2011.6088193 article EN 2011-10-01

The interpolation of contour pixels, with splines, an order greater than or equal to two, usually causes oscillations that do not fit the original shape. To overcome this we propose using a least squares filter before carrying out interpolation. This results in good compromise between smoothness curve and best contour. Representing continuous model instead discrete has many advantages for calculations, as example curvature, which involves first second derivatives, well operations are defined...

10.1109/nwesp.2011.6088164 article EN 2011-10-01

Otoliths are microcalcifications found in the inner ear of fishes and their shape can be analyzed to determine sex, age, populations species, thus they provide necessary relevant information for ecological environmental studies. This paper compares two different approaches de al with an arbitrary rotation a query image data mining system that classifies fish otoliths from images according needs real application. The proposed this will allow successful use not normalized or positioning than...

10.3233/aic-160715 article EN AI Communications 2016-11-08

A prospective, single-center, non-randomized, pre-marketing clinical investigation was conducted with a single group of subjects to collect skin lesion images. These images were subsequently utilized compare the results obtained from traditional method wound size measurement two novel methods developed using Machine Learning (ML) approaches. Both proposed automatically calculate area an image. One employs two-dimensional system assistance external calibrator, while other utilizes Augmented...

10.3390/electronics13122390 article EN Electronics 2024-06-18

In this work we derive two families of radix-4 factorizations for the FFT (Fast Fourier Transform) that have property both inputs and outputs are addressed in natural order. These obtained from another radix-2 algorithms same property. The mathematical complexity (number multiplications additions) Cooley-Tukey but avoid de bit-reversal ordering applied to input or at output.

10.1109/icdsp.2009.5201151 article EN 2009-07-01

In this work we present a new method for compacting data from 3D shapes by extracting characteristic curve that call signature. The signature obtained preserves almost all the morphological shape information but drastically reduces number of points required representing shape. Furthermore, based on signature, 2D draws closed contour in plane and can be further compacted using elliptic Fourier descriptors. was developed to with otolith database is currently under construction.

10.1109/nwesp.2011.6088185 article EN 2011-10-01

Background: Provision of care to patients with chronic diseases at their homes remains a great challenge for modern health systems. Smartphone applications are indicated as one the strategies that could improve delivery this group patients. The aim study is investigate feasibility and usability proprietary application messaging service used by primary team attending mainly homes. Methods: A Cross-sectional pilot smartphone communicate amongst clinicians. Primary practices in Tona, Spain,...

10.3823/2531 article EN International Archives of Medicine 2017-10-19

In many oceanographic studies there is a need to reconstruct signal from set of sparse measurements. We propose an algorithm iteratively approximate the intermediate values between irregularly sampled data, when at coarser scales known. This possible approximation model for multiresolution decomposition/reconstruction scheme dataset. Although problem ill-posed, this approach gives easy interpolate using all information available different resolutions. reconstruction method could be used as...

10.1109/oceanskobe.2008.4530949 article EN 2008-04-01
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