A5037526812- Context-Aware Activity Recognition Systems
- Long-Term Effects of COVID-19
- Social Robot Interaction and HRI
- Technology Use by Older Adults
- Gaze Tracking and Assistive Technology
- COVID-19 and Mental Health
- Intensive Care Unit Cognitive Disorders
- Dementia and Cognitive Impairment Research
- Transportation and Mobility Innovations
- Ethics and Social Impacts of AI
- Multi-Agent Systems and Negotiation
- Business Process Modeling and Analysis
- Balance, Gait, and Falls Prevention
- Assistive Technology in Communication and Mobility
- Stroke Rehabilitation and Recovery
- Digital Transformation in Industry
- Sleep and related disorders
- Pharmaceutical Practices and Patient Outcomes
- Robotic Path Planning Algorithms
- Medication Adherence and Compliance
- Explainable Artificial Intelligence (XAI)
- Artificial Intelligence in Healthcare and Education
- Older Adults Driving Studies
- Information Technology and Learning
- Cognitive Functions and Memory
Universitat Politècnica de Catalunya
2015-2025
Institut de Robòtica i Informàtica Industrial
2024
Barcelona Supercomputing Center
2020-2021
Universidad Nacional Autónoma de México
2020
Software (Spain)
2017
European Telecommunications Standards Institute
2010
Patients with post-coronavirus disease 2019 (COVID-19) conditions typically experience cognitive problems. Some studies have linked COVID-19 severity long-term damage, while others did not observe such associations. This discrepancy can be attributed to methodological and sample variations. We aimed clarify the relationship between outcomes determine whether initial symptomatology predict Cognitive evaluations were performed on 109 healthy controls 319 post-COVID individuals categorized into...
One of the most prevalent symptoms post-COVID condition is cognitive impairment, which results in a significant degree disability and low quality life. In studies with large sample sizes, attention, memory, executive function were reported as long-term symptoms. This study aims to describe dysfunction individuals, compare objective neuropsychological performance those individuals without complaints, identify short exams that can differentiate from controls. To address these aims, Nautilus...
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at center production process and uses technologies to increase prosperity beyond jobs growth. HCAI presents objectives were unreachable by either humans or machines alone, but this also comes with set challenges. Our proposed method accomplishes through knowlEdge architecture, which enables human operators implement AI solutions using...
Falling is a major clinical problem in elderly people, demanding effective solutions. At present, the only intervention motor training of balance and strength. Executive function-based (EFt) might be at preventing falls according to evidence showing relationship between executive functions gait abnormalities. The aim was assess effectiveness cognitive treatment developed within EU co-funded project I-DONT-FALL.In sample 481 people risk recruited this multicenter randomised controlled trial,...
In the current study, we aimed (i) to evaluate sleep quality via wrist actigraphy monitoring of nonhospitalized and hospitalized post-COVID-19 condition (PCC) participants; (ii) correlate measures with subjective quality, such as Pittsburgh Sleep Quality Index (PSQI); (iii) investigate whether total time or efficiency could affect PCC cognitive performance. We included 49 individuals from NAUTILUS Project (NCT05307549 NCT05307575) who were monitored for 1 week also assessed a comprehensive...
Abstract Objective A long‐term decline in health‐related quality of life (HRQoL) has been reported after coronavirus disease 2019 (COVID‐19). Studies with people persistent symptoms showed inconsistent outcomes. Cognition and emotion are important determinants HRQoL, but few studies have examined their prognostic significance for HRQoL functionality post‐COVID patients persisting symptoms. We aimed to describe QoL, functioning individuals varying COVID‐19 severities investigate the...
Abstract The risk factors for post-COVID-19 cognitive impairment have been poorly described. This study aimed to identify the sociodemographic, clinical, and lifestyle characteristics that characterize a group of condition (PCC) participants with neuropsychological impairment. sample included 426 PCC who underwent neurobehavioral evaluation. We selected seven mental speed processing executive function variables obtain data-driven partition. Clustering algorithms were applied, including...
Frailty is a crucial indicator in determining the well-being of older adults terms their health. With growing number elderly people, demand for geriatricians increasing, which means that they have less time to spend with each patient. The current methods frailty assessment use simple tests are time-consuming and do not require specific medical expertise. To address this issue, paper proposes social robots assess autonomously. It presents practical proposal defines robot's behavior explains...
AI is one of the biggest megatrends towards 4th industrial revolution. Although these technologies promise business sustainability as well product and process quality, it seems that ever-changing market demands, complexity fair concerns about privacy, impede broad application reuse Artificial Intelligence (AI) models across industry. To break entry barriers for unleash its full potential, knowlEdge project will develop a new generation methods, systems, data management infrastructure....
The study aimed to assess sleep quality in PCC patients and its predictors by analysing relationship with emotional, cognitive functional variables, as well possible differences based on COVID-19 severity. We included 368 individuals 123 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 NCT05307575). assessed (Pittsburgh Sleep Quality Index, PSQI), anxiety (Generalized Anxiety Disorder, GAD-7), depression (Patient Health Questionnaire, PHQ-9), global cognition (Montreal Cognitive...
In this paper, we present the SHARE-it approach to integration of agent technology with other existing technologies build specific intelligent and semi-autonomous assistive devices for older persons people disabilities (both cognitive and/or motor).In particular, explored benefits concept situated intelligence mobility platforms artefacts that enhance autonomy target user group in their daily life so they can be self-dependent enough autonomously live preferred environment.
Background: The increasing number of people with dementia (PwD) drives research exploring Web-based support interventions to provide effective care for larger populations. In this concept, a platform (CAREGIVERSPRO-MMD, 620911) was designed (1) improve the quality life PwD, (2) reduce caregiver burden, (3) financial costs care, and (4) administration time health social professionals.
CAREGIVERSPRO-MMD an EU H2020 funded project aims to build a digital platform focusing on people living with dementia and their caregivers, offering selection of advanced, individually tailored services enabling them live well in the community for as long possible. This paper provides outline health recommender system designed context provide interventions caregivers dementia.
In the current paper, a social gamified platform for people living with dementia and their live-in family caregivers, integrating broader diagnostic approach interactive interventions is presented. The CAREGIVERSPRO-MMD (C-MMD) constitutes support tool patient informal caregiver - also referred to as dyad that strengthens self-care, builds community capacity engagement at point of care. implemented improve collaboration, adherence treatment guidelines through gamification, recognition...