Oscar Jossa-Bastidas

Analysis of Training Behavior in Users of a Fitness App: Cross-Sectional Study

Andrea Fuente-Vidal, Roger Prat, Juan Manuel Arribas Marín, Oscar Jossa-Bastidas et autres

BACKGROUND: Mobile health (mHealth) apps are increasingly being used to promote physical activity (PA) and can support exercise uptake and maintenance. Despite their potential, these tools face high dropout rates and inconsistent adherence, posing a significant challenge. Understanding how users engage with …

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Multisource data for monitoring and intervention of loneliness in the elderly.

Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Méndez Zorrilla, Ibon Ruiz et autres

Loneliness is harmful to health like smoking, obesity or environmental pollution and is considered a critical public health issue. Studies report that between 24.7% and 33% of people feel lonely. In the population over 80 years it has increased since 1970 from …

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Big Data and IoT system using a serverless architecture for monitoring and intervention of loneliness in the elderly.

Oscar Jossa-Bastidas, Ainhoa Osa-Sanchez, Alberto Miranda-Garcia, Celia Gomez et autres

An accelerated growth in the life expectancy of the elderly is being caused by medical advancements in recent decades and the decline in birth rates. Therefore, comprehensive care of the elderly represents a major issue. In addition, loneliness and depression have become …

Analysis of Training Behavior in Users of a Fitness App: Cross-Sectional Study (Preprint)

Andrea Fuente-Vidal, Roger Prat, Juan Manuel Arribas Marín, Oscar Jossa-Bastidas et autres

BACKGROUND Mobile health (mHealth) apps are increasingly being used to promote physical activity (PA) and can support exercise uptake and maintenance. Despite their potential, these tools face high dropout rates and inconsistent adherence, posing a significant challenge. Understanding how users engage with …

INTELLIGENT LONELINESS MONITORING IN THE ELDERLY: A SERVERLESS ARCHITECTURE WITH REAL-TIME COMMUNICATION API

Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Méndez Zorrilla, Ibon Ruiz et autres

Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API

Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Méndez Zorrilla, Ibon Ruiz et autres

BACKGROUND: Loneliness and social isolation are recognized as critical public health issues. Older people are at greater risk of loneliness and social isolation as they deal with things like living alone, loss of family or friends, chronic illness, and hearing loss. Loneliness …

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IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques

Oscar Jossa-Bastidas, Ainhoa Osa-Sanchez, Leire Bravo‐Lamas, Begonya García-Zapirain

Gluten is a natural complex protein present in a variety of cereal grains, including species of wheat, barley, rye, triticale, and oat cultivars. When someone suffering from celiac disease ingests it, the immune system starts attacking its own tissues. Prevalence studies suggest …

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A Comparative Study between Scanning Devices for 3D Printing of Personalized Ostomy Patches

Sofia Zahia, Begonya García-Zapirain, Jon Anakabe, Joan Ander et autres

This papers presents a comparative study of three different 3D scanning modalities to acquire 3D meshes of stoma barrier rings from ostomized patients. Computerized Tomography and Structured light scanning methods were the digitization technologies studied in this research. Among the Structured Light …

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Feature analysis and prediction of complications in ostomy patients based on laboratory analytical data using a machine learning approach

Oscar Jossa-Bastidas, Begonya García-Zapirain, Alberto Loizate Totoricagüena, Sofia Zahia et autres

BACKGROUND: Stoma complications are commonly related to inadequate surgical preparation and changes in abdominal perimeter configuration. Preventive identification of such complications would improve patient care quality of life.OBJECTIVE: To carry out an approximate study on the prediction of complications in ostomy patients, …

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Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach

Oscar Jossa-Bastidas, Sofia Zahia, Andrea Fuente-Vidal, Néstor Sánchez Férez et autres

The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting …

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