A5060088439- Mobile Health and mHealth Applications
- Digital Mental Health Interventions
- Physical Activity and Health
- Social Media in Health Education
- Technology Use by Older Adults
- Cancer survivorship and care
- Child Development and Digital Technology
- Impact of Technology on Adolescents
- Childhood Cancer Survivors' Quality of Life
- Privacy, Security, and Data Protection
- Gaze Tracking and Assistive Technology
- Artificial Intelligence in Healthcare and Education
- Behavioral Health and Interventions
- Tactile and Sensory Interactions
- Educational Games and Gamification
- Adolescent and Pediatric Healthcare
- Sports Performance and Training
- EEG and Brain-Computer Interfaces
- Delphi Technique in Research
- Multiple Sclerosis Research Studies
- Health Literacy and Information Accessibility
- IoT-based Smart Home Systems
- Context-Aware Activity Recognition Systems
- Energy Efficient Wireless Sensor Networks
- Persona Design and Applications
Universidad de Sevilla
2016-2025
Universitat Politècnica de València
2023
Aristotle University of Thessaloniki
2017
Universidad Politécnica de Madrid
2016
Background A large language model (LLM) is a machine learning inferred from text data that captures subtle patterns of use in context. Modern LLMs are based on neural network architectures incorporate transformer methods. They allow the to relate words together through attention multiple sequence. have been shown be highly effective for range tasks natural processing (NLP), including classification and information extraction generative applications. Objective The aim this adapted Delphi...
Background: Multiple sclerosis (MS) is one of the world’s most common neurologic disorders, with symptoms such as fatigue, cognitive problems, and issues mobility. Evidence suggests that physical activity (PA) helps people MS reduce fatigue improve quality life. The use mobile technologies for health has grown in recent years little involvement from relevant stakeholders. User-centered design (UCD) a philosophy goal creating solutions specific to needs tasks intended users. UCD involves...
Background: Contents published on social media have an impact individuals and their decision making. Knowing the sentiment toward diabetes is fundamental to understanding that such information could people affected with this health condition family members. The objective of study analyze expressed in messages posted Twitter. Method: Tweets including one terms “diabetes,” “t1d,” and/or “t2d” were extracted for week using Twitter standard API. Only text message number followers users...
Background: Multiple sclerosis (MS) is a non-curable chronic inflammatory disease of the central nervous system that affects more than 2 million people worldwide. MS-related symptoms impact negatively on quality life persons with MS, who need to be active in management their health. mHealth apps could support these patient groups by offering useful tools, providing reliable information, and monitoring symptoms. A previous study from this group identified needs, barriers, facilitators for use...
Background: Multiple sclerosis (MS) is one of the world’s most common neurologic disorders. Fatigue symptoms that persons with MS experience, having significant impact on their quality life and limiting activity levels. Self-management strategies are used to support them in care health. Mobile health (mHealth) solutions a way offer chronic conditions tools successfully manage problems. Gamification current trend among mHealth apps create engaging user experiences suggested be effective for...
Privacy has always been a concern, especially in the health domain. The proliferation of mobile (mHealth) apps led to large amount sensitive data being generated. Some authors have performed privacy assessments mHealth apps. They evaluated diverse components; however, different used criteria for their assessments.This scoping review aims understand how is assessed apps, focusing on components, scales, criteria, and scoring methods used. A simple taxonomy categorize based component evaluation...
In this paper, a signal processing algorithm to detect eye movements is developed. The works with two kinds of inputs: derivative and amplitude level electrooculographic signal. Derivative used edges the filter noise. Depending movement direction, different events are generated. Events associated its route. A hit rate equal 94% reached. This has been implement an application that allows computer control using ocular movement.
Mobile health, or mHealth, is based on mobile information and communication technologies provides solutions for empowering individuals to participate in healthcare. Personalisation techniques have been used increase user engagement adherence interventions delivered as mHealth solutions. This study aims explore the current state of personalisation including its trends implementation.We conducted a review following PRISMA guidelines. Four databases (PubMed, ACM Digital Library, IEEE Xplore,...
Background Caregivers of children with growth hormone deficiency often face emotional challenges (eg, stress) associated their children’s health conditions. This psychological burden might affect adherence to treatment and hinder health-related quality life (HrQoL). assumption is leading seriously considering multidimensional clinical approaches pediatric conditions where the well-being caregivers should be accounted for optimize outcomes. Novel mobile (mHealth) solutions based on behavioral...
Background: Hypertensive disorders are the most common complications during pregnancy, occurring in 5% to 11% of pregnancies; gestational hypertension and preeclampsia leading causes perinatal maternal morbidity mortality, especially low- middle-income countries (LMIC) where mortality ratios still high. Pregnant women with hypertensive could greatly benefit from mobile health (mHealth) solutions as a novel way identify control early symptoms, shown an increasing number publications field....
Existing evidence supports the many benefits of physical activity (PA) in breast cancer survival. However, few survivors adhere to recommended levels activity. A PA coaching app that provides personalized feedback, guidance, and motivation user might have potential engage these individuals a more active lifestyle, line with general recommendations. To develop successful tool, it is important involve end users design process make theoretically grounded decisions.This study aimed execute early...
Background Despite growing evidence supporting the vital benefits of physical activity (PA) for breast cancer survivors, majority do not meet recommended levels activity. Mobile app–based PA coaching interventions might be a feasible strategy to facilitate adherence survivors guidelines. To engage these individuals, apps need specifically designed based on their needs and preferences provide targeted support motivation. However, more information is needed understand how technologies can...
Physical activity (PA) is the most well-established lifestyle factor associated with breast cancer (BC) survival. Even women advanced BC may benefit from moderate PA. However, symptoms and treatment side effects are barriers to Mobile health coaching systems can implement functionalities features based on behavioral change theories promote healthier behaviors. increase its acceptability among BC, it essential that these digital persuasive designed considering their contextual...
Health care has evolved to support the involvement of individuals in decision making by, for example, using mobile apps and wearables that may help empower people actively participate their treatment health monitoring. While term "participatory informatics" (PHI) emerged literature describe these activities, along with use social media purposes, scope research field PHI is not yet well defined.This article proposes a preliminary definition defines field.We used an adapted Delphi study design...
Background Artificial intelligence (AI) has the potential to enhance physical activity (PA) interventions. However, human factors (HFs) play a pivotal role in successful integration of AI into mobile health (mHealth) solutions for promoting PA. Understanding and optimizing interaction between individuals AI-driven mHealth apps is essential achieving desired outcomes. Objective This study aims review describe current evidence on HFs digital increasing Methods We conducted scoping by searching...
Objective: Social media is used in the context of healthcare, for example interventions promoting health. Since social are easily accessible they have potential to promote health equity. This paper studies relevant factors impacting on equity considered interventions. Methods: We searched literature identify included that reported examples using media, focused equity, and analyzed media. identified Information about targeted groups. Results: found 17 articles. Factors papers were extracted...
Summary Objectives: To identify the different ethical issues that should be considered in participatory health through social media from stakeholder perspectives (i.e., patients/service users, professionals, information technology (If) and policy makers) any healthcare context. Methods: We implemented a two-round survey composed of open ended questions first round, aggregated into list rated for importance by participants second to generate ranked possible based on professionals’ makers’...
Multiple sclerosis (MS) is one of the world's most common neurologic disorders leading to severe disability in young adults. MS-related fatigue directly impacts on quality life and activity levels people with MS. Self-management strategies are used support them care their health. Mobile health (mHealth) solutions can offer tools help symptom management. Following a user-centered design evidence-based process, an mHealth solution called More Stamina was created persons MS manage fatigue.The...