A5020805672- Context-Aware Activity Recognition Systems
- Digital Mental Health Interventions
- Mental Health Research Topics
- Mobile Health and mHealth Applications
- Balance, Gait, and Falls Prevention
- Mental Health Treatment and Access
- Health disparities and outcomes
- Non-Invasive Vital Sign Monitoring
- Advanced Neural Network Applications
- Control Systems and Identification
- Machine Learning in Healthcare
- Digital Transformation in Industry
- Wireless Networks and Protocols
- Industrial Vision Systems and Defect Detection
- COVID-19 and Mental Health
- Healthcare Technology and Patient Monitoring
- Brain Tumor Detection and Classification
- AI in cancer detection
- Gait Recognition and Analysis
- Physical Activity and Health
- Underwater Vehicles and Communication Systems
- Remote Sensing and LiDAR Applications
- Child and Adolescent Psychosocial and Emotional Development
- Obesity, Physical Activity, Diet
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
University of Limerick
2016-2025
Science Foundation Ireland
2024
I-Form Advanced Manufacturing Research Centre
2023
Amsterdam UMC Location Vrije Universiteit Amsterdam
2011-2015
Amsterdam Public Health
2011
NXP (Netherlands)
2002
Philips (Netherlands)
2002
Philips (Finland)
2002
A 5-GHz quadrature LC oscillator has been realized, in which the two stages are coupled with phase shifters. Analysis on behavioral level shows that an N-stage is optimally when each stage connected shifters providing /spl plusmn/180/spl deg//N shift. Simulation of two-stage reveals a 4.3-dB reduction noise compared to without Measurements oscillator, made 30-GHz f/sub T/ process, show lower than -113 dBc/Hz, resonator quality factor only 4 and core power dissipation 21.2 mW.
In this paper, the authors investigate role that smart devices, including smartphones and smartwatches, can play in identifying activities of daily living. A feasibility study involving N = 10 participants was carried out to evaluate devices' ability differentiate between nine everyday activities. The examined include walking, running, cycling, standing, sitting, elevator ascents, descents, stair ascents descents. also evaluated these devices indoors from outdoors, with aim enhancing...
Abstract Scalable solutions to treat depression in older adults low-resourced settings are urgently needed. The PRODIGITAL-D pragmatic, single-blind, two-arm, individually randomized controlled trial assessed the effectiveness of a mobile messaging psychosocial intervention improving depressive symptomatology among socioeconomically deprived areas Guarulhos, Brazil. Older (aged 60+ years) registered with 24 primary care clinics and identified (9-item Patient Health Questionnaire (PHQ-9)...
In this paper, we provide a survey on automotive surround-view fisheye optics, with an emphasis the impact of optical artifacts computer vision tasks in autonomous driving and ADAS. The industry has advanced applying state-of-the-art to enhance road safety automated functionality. When using camera systems vehicles, there is particular need for wide field view capture entire vehicle's surroundings, areas such as low-speed maneuvering, parking, cocoon sensing. However, one crucial challenge...
A fall detection system and algorithm, incorporated into a custom designed garment has been developed. The developed uses tri-axial accelerometer to detect impacts monitor posture. This sensor is attached vest, be worn by the elderly person under clothing. algorithm was incorporates both impact posture capability. vest tested two teams of 5 subjects who wore in turn for 2 week each were monitored 8 hours day.
This study explores the potential of graph neural networks (GNNs) to enhance semantic segmentation across diverse image modalities. We evaluate effectiveness a novel GNN-based U-Net architecture on three distinct datasets: PascalVOC, standard benchmark for natural segmentation, WoodScape, challenging dataset fisheye images commonly used in autonomous driving, introducing significant geometric distortions; and ISIC2016, dermoscopic skin lesion segmentation. compare our proposed UNet-GNN model...
Ecological Momentary Assessment (EMA) enables the real-time capture of health-related behaviours, their situational contexts, and associated subjective experiences. This study aimed to evaluate feasibility an EMA targeting physical eating optimise its protocol, provide recommendations for future large-scale data collections. The involved 52 participants (age 31±9 years, 56% females) from Czechia, France, Germany, Ireland completing a 9-day free-living protocol using HealthReact platform...
This study aims to evaluate a variety of existing and novel fall detection algorithms, for waist mounted accelerometer based system. Algorithms were tested against comprehensive data-set recorded from 10 young healthy subjects performing 240 falls 120 activities daily living elderly scripted 52.4 hours continuous unscripted normal activities. Results show that using simple algorithm employing Velocity+Impact+Posture can achieve low false-positive rate less than 1 FP/day* (0.94FPs/day*) with...
Depression is expected to be the disorder with highest disease burden in high-income countries by year 2030. ICT4Depression (ICT4D) a European FP7 project, which aims contribute alleviation of this making use depression treatment and ICT innovations. In project we developed an ICT-based system for primary care that improve access as well actual delivery depressed adults. Innovative technologies within ICT4D include 1) flexible self-help treatments depression, 2) automatic assessment patient...
Abstract Background Depression is a common and recurrent condition among older adults associated with poor quality of life increased health care utilization costs. The purpose this pilot study was to assess the feasibility delivering psychosocial intervention targeting depression, develop procedures conduct cluster randomized controlled trial registered primary clinics in neighbourhoods São Paulo, Brazil. Methods We conducted two-arm cluster, non-randomized trial. Two adhering Family Health...
A 5 GHz quadrature LC oscillator is realized which based on a new architecture for multi-phase oscillators. Each section in the coupled with an explicit phase shift of 180 degrees divided by number sections. Analysis behavioral level shows that this maximizes quality factor, and as result, carrier-to-noise ratio robustness. An effective factor derived quantizes degradation noise performance if sections multiphase are non-optimally coupled. The demonstrates even at high frequencies additional...
Although there are many forms of effective, evidence-based treatments available to patients with mood and anxiety disorders, do not seek any help. Certain personality characteristics associated increased use mental health services. The objective this study is examine whether traits also related patients' perceived need for (specific types of) care.Cross-sectional data were derived from the Netherlands Study Depression Anxiety (NESDA). A total 762 recruited general practices, who had been...
In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and present its use in MoodBuster app developed H2020 E-COMPARED project. We discuss context-aware, or event-based, triggers presentation EMAs potential they have to improve effectiveness provision mental health interventions as allow patients when where these are most appropriate. Following this, abilities ULTEMAT such context-aware schedule how...