A5039184341- Global Maternal and Child Health
- Artificial Intelligence in Healthcare and Education
- Non-Invasive Vital Sign Monitoring
- Context-Aware Activity Recognition Systems
- ECG Monitoring and Analysis
- Healthcare Technology and Patient Monitoring
- Mobile Health and mHealth Applications
- Telemedicine and Telehealth Implementation
- Neonatal Respiratory Health Research
- Virtual Reality Applications and Impacts
- Tactile and Sensory Interactions
- Healthcare Systems and Reforms
- Innovative Human-Technology Interaction
- HIV/AIDS Impact and Responses
- Delphi Technique in Research
- Ergonomics and Musculoskeletal Disorders
- Electronic Health Records Systems
- Heart Rate Variability and Autonomic Control
- Global Public Health Policies and Epidemiology
- Global Healthcare and Medical Tourism
- Health, Environment, Cognitive Aging
- Technology Use by Older Adults
- Child and Adolescent Health
Expertise Center Vocational Education
2022-2025
Eindhoven University of Technology
2015-2019
Continuously monitoring body movement in preterm infants can have important clinical applications since changes movement-patterns be a significant marker for deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes system method to monitor environment using ballistography. The ballistographic signal (BSG) is acquired thin film-like sensor that placed underneath an infant. Manual annotations based on video-recordings served as reference standard identifying...
To determine the feasibility of unobtrusively monitoring respiratory rate (RR) in preterm infants by using a film-like pressure sensor placed between mattress and bedding.The RR was simultaneously measured processing chest impedance (CI) ballistographic (BSG) signal acquired from 10 varying body weight. Nearly 27 h data were analyzed these while different positions including both spontaneously breathing those receiving non-invasive support.The BSG (RR-BSG) significantly correlated (r = 0.74)...
Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration, however, are important factors hindering successful implementation. This study aims explore...
This paper presents the concept Backtive: an interactive office chair with accompanying mobile application to provide both tactile and visual feedback for user correct his posture make him more aware of sitting behavior throughout day. The aims people unintentionally voluntarily their while not interrupting daily tasks. is developed through a centered design approach by building prototype test feasibility as well evaluating concept. An evaluation four persons received positive results regard...
<title>Abstract</title> Introduction Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that integrate monitor clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration are important factors hindering successful implementation....
Aims & Objectives: Continuous patient monitoring in critical care is pivotal for early intervention, but challenges persist low-resource settings which current systems are not designed. Integrating risk prediction and decision support can simplify interpretation facilitate earlier interventions. These innovations could be especially relevant with limited trained professionals resources. The IMPALA project aims to develop a vital signs system predictive algorithms that bridges this gap....
Aims & Objectives: Continuous patient monitoring in critical care is pivotal for early intervention. Risk prediction and decision support can simplify interpretation facilitate earlier interventions. No predictive algorithms based on continuous vital signs exist African children. We aimed to address this. Methods: Between July 2022- June 2023 we performed an observational study 789 critically ill children (2months-5years) admitted the high dependency units (HDU) of two Malawian government...
Background and Aim: In pediatric high-dependency care within low-resource settings (LRS), nurses encounter challenges in the early detection of deterioration. Data-driven algorithms show potential, but successful design integration into clinical workflows require consideration nurses' perspectives. This study aims to inform development a data-driven algorithm its user-interface be implemented constant monitoring system for LRS. Methods: A human-centered approach, including contextual...
Aims & Objectives: Five million children and neonates in low-resource-settings die annually, partly due to scarce (human) resources. The IMPALA system combines robust, easy-to-use vital signs monitoring devices with intuitive software aid health workers risk assessment early detection. We present the first experiences from a routine care setting, i.e. St. Luke's, Malawian district hospital. Methods: Following an initial assessment, 1-day training installation of 11 nursery pediatric wards,...
<title>Abstract</title> Introduction Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that integrate monitor clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design workflow integration are important factors hindering successful implementation....
BACKGROUND Patient monitoring systems (PMSs) are essential for and managing the condition of critically ill patients. In low-resource settings, limited access to technology, low-level digital literacy, power outage challenges usability concerns. The main aim this study was evaluate IMPALA (Innovative Monitoring in Paediatrics Low-resource settings: an Aid save lives) PMS optimized use settings by assessing opinions experiences 24 healthcare professionals. MATERIAL AND METHODS used a...
Ballistography(BSG) is a non-intrusive and low- cost alternative to electrocardiography (ECG) for heart rate (HR) monitoring in infants. Due the inter-patient variance susceptibility noise, heartbeat detection BSG waveform remains challenge. The aim of this study was estimate HR from bed-based pressure mat signal using deep learning approach. We trained U-Net neural network through supervised by deriving ground truth as location heartbeats simultaneously recorded ECG signals after peak...