A5020988885- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Digital Mental Health Interventions
- Technology Use by Older Adults
- Heart Rate Variability and Autonomic Control
- IoT and Edge/Fog Computing
- Maternal and fetal healthcare
- Cardiovascular and exercise physiology
- Voice and Speech Disorders
- Non-Invasive Vital Sign Monitoring
- Parkinson's Disease Mechanisms and Treatments
- Assistive Technology in Communication and Mobility
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Innovative Human-Technology Interaction
- Cardiac Health and Mental Health
- Blood Pressure and Hypertension Studies
- Pregnancy and preeclampsia studies
- Innovative Approaches in Technology and Social Development
- Biomedical Text Mining and Ontologies
- Indoor and Outdoor Localization Technologies
- Trauma and Emergency Care Studies
- COVID-19 diagnosis using AI
- Diabetes Management and Research
- Obesity, Physical Activity, Diet
- Telemedicine and Telehealth Implementation
Malmö University
2019-2024
University of Oxford
2015-2022
Lund University
2021
NIHR Biomedical Research Centre at The Royal Marsden and the ICR
2020
Community Link
2020
National Institute for Health Research
2020
Newcastle upon Tyne Hospitals NHS Foundation Trust
2020
King's College London
2020
Guy's and St Thomas' NHS Foundation Trust
2020
Institute of Biomedical Science
2018
Hypertension affects 1 in 10 pregnancies, often persisting postpartum, when antihypertensive requirements may vary substantially. This unmasked, randomized controlled trial evaluated the feasibility and effects on blood pressure (BP) of self-management postpartum hypertension. Women with gestational hypertension or preeclampsia, requiring postnatal treatment, were to usual care. Self-management entailed daily home BP monitoring automated medication reduction via telemonitoring. attended 5...
To estimate normal ranges for maternal vital signs throughout pregnancy, which have not been well defined in a large contemporary population.We conducted three-center, prospective, longitudinal cohort study the United Kingdom from August 2012 to September 2017. We recruited women at less than 20 weeks of gestation without significant comorbidities with accurately dated singleton pregnancies. measured participants' blood pressure (BP), heart rate, respiratory oxygen saturation and temperature...
Abstract Studies have established the importance of physical activity and fitness for long-term cardiovascular health, yet limited data exist on association between objective, real-world large-scale patterns, fitness, sleep, health primarily due to difficulties in collecting such datasets. We present from MyHeart Counts Cardiovascular Health Study, wherein participants contributed via an iPhone application built using Apple’s ResearchKit framework consented make this available freely further...
The 6-min walk test (6MWT) is a convenient method for assessing functional capacity in patients with cardiopulmonary conditions. It usually performed the context of hospital clinic and thus requires involvement staff facilities, their associated costs.This study aimed to develop mobile phone-based system that allows perform 6MWT community.We developed 2 algorithms compute distance walked during using sensors embedded phone. One algorithm makes use global positioning track location phone when...
Introduction Home-based programmes for cardiac rehabilitation play a key role in the recovery of patients with coronary artery disease. However, their necessary educational and motivational components have been rarely implemented help modern mobile technologies. We developed health system designed motivating to adhere programme by providing exercise monitoring, guidance, feedback, content. Methods Our multi-disciplinary approach is based on mapping “desired behaviours” into specific system’s...
EvAAL is an annual international competition that addresses the "grand" challenge of evaluation and comparison Ambient Assisted Living (AAL) systems platforms, with final goal to assess autonomy, independent living quality life
Pulmonary arterial hypertension (PAH) is a chronic disease of the pulmonary vasculature that can lead to heart failure and premature death. Assessment patients with PAH includes performing 6-minute walk test (6MWT) in clinics. We developed smartphone app compute walked distance (6MWD) indoors, by counting U-turns, outdoors, using satellite positioning.The goal research was assess (1) accuracy indoor 6MWTs clinical settings, (2) validity test-retest reliability outdoor community, (3)...
Cardiovascular diseases (CVDs) account for 45% of all deaths in the western world according to 2004 World Health Organization statistics report. Heart failure (HF), CVD's primary paradigm, mainly affects people older than 65. The European MyHeart Project's mission is empower citizens fight CVD by leading a preventative lifestyle and allowing early diagnosis. This paper presents iterative design development HF management system, part Project. system daily measures vital body signals assess...
Respiratory rate (RR) is a key parameter used in healthcare for monitoring and predicting patient deterioration. However, continuous automatic estimation of this from wearable sensors still challenging task. Various methods have been proposed to estimate RR using windowed segments the data; e.g., often minimum 32 s. Little research has reported literature concerning instantaneous detection respiratory such sources. In paper, we develop evaluate method (IRR) body-worn reflectance...
We describe an evaluation of photoplethysmography (PPG) signals with two wavelengths channels (infrared and red) using a wrist-worn sensor for the estimation heart rate variability (HRV) oxygen saturation (SpO2). Five healthy subjects were equipped commercial pulse oximeter (Wavelet Health, USA) on right hand, both smart watch fitness use (Huawei Watch, Series 2) clinically-validated transmission-mode (Creative Medical PC-68B) their left hand as reference. Synchronised PPG from Wavelet...
Ambient Assisted Living (AAL) technologies aim at supporting elderly and disabled people in their environment, with affordable, easy to use meaningful ICT tools. Given the complexity of AAL, software platforms are needed abstract reuse typical functionalities. To this purpose, univer sAAL project was established create an open platform that provides a standardized approach making it technically feasible economically viable develop AAL solutions. In order make widely accepted, high quality...
Ambient assisted living (AAL) is a complex field, where different technologies are integrated to offer solutions for the benefit of stakeholders. Several evaluation techniques commonly applied that tackle specific aspects AAL; however, holistic approaches lacking when addressing needs both developers and end-users. Living labs have been often used as real-life test experimentation environments co-designing AAL validating them with relevant During last five years, we evaluating systems...
OBJECTIVE: To estimate normal ranges for postpartum maternal vital signs. METHODS: We conducted a multicenter prospective longitudinal cohort study in the United Kingdom. recruited women before 20 weeks of gestation without significant comorbidities and with accurately dated singleton pregnancies. Women recorded their own blood pressure, heart rate, oxygen saturation temperature daily 2 postpartum. Trained midwives measured participants' signs including respiratory rate around days 1, 7, 14....
As a result of technological advancements, functional capacity assessments, such as the 6-minute walk test, can be performed remotely, at home and in community. Current studies, however, tend to overlook crucial aspect data quality, often limiting their focus idealised scenarios. Challenging conditions may arise when performing test given risk collecting poor-quality GNSS signal, which undermine reliability results. This work shows impact applying filtering rules avoid noisy samples common...
Abstract This article describes the UniversAAL platform, an open platform intended to facilitate development, distribution, and deployment of technological solutions for Ambient assisted living (AAL). The is benefit end users (i.e., persons, their families, caregivers), authorities with responsibility AAL, organizations involved in development AAL services. It consists extensive set resources (some are software some models/architectures) aimed at these different groups. classified into three...
Introduction Supported self-management empowering people with asthma to detect early deterioration and take timely action reduces the risk of attacks. Smartphones smart monitoring devices coupled machine learning could enhance by predicting attacks providing tailored feedback. We aim develop assess feasibility an attack predictor system based on data collected from a range devices. Methods analysis A two-phase, 7-month observational study collect about status using three devices, daily...
Monitoring asthma is essential for self-management. However, traditional monitoring methods require high levels of active engagement, and some patients may find this tedious. Passive with mobile-health devices, especially when combined machine-learning, provides an avenue to reduce management burden. Data developing machine-learning algorithms are scarce, gathering new data expensive. A few datasets, such as the Asthma Mobile Health Study, publicly available, but they only consist...
Introduction The clinical assessment of Parkinson’s disease (PD) symptoms can present reliability issues and, with visits typically spaced apart 6 months, hardly capture their frequent variability. Smartphones and smartwatches along signal processing machine learning facilitate frequent, remote, reliable objective assessments PD from patients’ homes. Aim To investigate the feasibility, compliance user experience passively actively measuring home environments using data sensors embedded in...
Current trends in healthcare technology include mobile-based applications. Relevant advances the integration of vital signs monitoring devices with mobile platforms are widely reported nowadays. In this context, conceiving and designing an interoperable application is essential due to growing necessity integrating a huge heterogeneous amount biomedical data, coming from wide range sensors. paper key research issues associated such presented as well specific proposal solve these problems. It...
To assess the feasibility in routine primary care consultation and investigate effect on risk recall self-management of a new type communication intervention based behavioural economics ("nudge-based") for people with Type 2 diabetes mellitus (T2DM).Forty adults poorly controlled T2DM (HbA1c > 7.5%) were randomized to receive personalized, nudge-based (n = 20) or standard 20). Risk evaluated at baseline 12 weeks after intervention.Both terms acceptability, this was very satisfactory. Study...
Background Though many overweight and obese adults attempt to lose weight without formal support, little is known about the strategies used in self-directed loss attempts. We set out assess cognitive behavioural for their associations with change. Methods Prospective, web-based cohort study of UK (BMI≥25kg/m2) trying through behaviour Strategy use was assessed using OxFAB questionnaire evaluated (1) at domain level, (2) exploratory factor analysis, (3) a model deemed priori be "essential"...