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Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
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The primary aim of this project is to develop and evaluate a multistatic (multiple RADAR sensor nodes) RADAR sensing system to monitor the ADL [Activities of Daily Living] including but not limited to walking, sitting down, standing up, eating, lying on bed and picking up objects in multiple older adults simultaneously using machine learning algorithms. Specifically, the aim is to capture critical events such as falls and wandering behaviour.
ABI can cause a range of problems across multiple areas of health and wellbeing - including relationship and intimacy issues.
Fallcheck is a web-app developed at Coventry University and enables a user to conduct a home-hazard assessment in their own, or a relative’s home.
ifeed was launched in August 2018 to coincide with World Breastfeeding week. In the first week it had 800 views and was shared by organisations supporting mothers and babies across the UK and globally.
A randomised controlled feasibility trial of a tailored digital behaviour change intervention with e-referral system to increase attendance at NHS Stop Smoking Services
Testing the effectiveness of an eHealth-enabled service delivery intervention, combining remote monitoring, education, and self-management training to optimise recovery outcomes and experience of seniors undergoing cardiac and vascular surgeries in Canada and the UK.
The aim of this project was to develop a web-based self-management programme for cancer survivors called iHOPE, and evaluate whether it improved quality of life, mental health and wellbeing among cancer survivors.
The HOPE programme has been designed to provide parents of children with ASD and ADHD with specialised support and training in coping skills.
NIHR funded project aiming to develop an AI solution to predict preterm birth.
There is an increasing need for remote, low-cost, reliable and comfortable respiratory rate that provide physicians with accurate newborn readings.
Preterm labor which occurs in ~10% of pregnant women is a leading cause of neonatal mortality and morbidity. However, unsatisfactory and inaccurate diagnosis of preterm labor is an immense clinical challenge to the obstetricians.
The monitoring of infants respiratory rate can contribute to the identification of several health problems and life threats. However, it is still the least documented and monitored parameter due to the shortage in advanced and user-friendly monitoring sensors/systems.
Investigators aim to create a foundational, shared language for researchers and practitioners to rigorously develop and evaluate religiously integrated health interventions.
A groundbreaking long-term prospective study into the health and wellbeing of survivors of sexual assault, rape and abuse. It will be the UK’s most comprehensive evaluation of Sexual Assault Referral Centres (SARCs) to date.
This project proposes a novel paradigm, called compressive population health (CPH for short), to reduce the data collection cost during the profiling of prevalence to the maximum extent.
Pocket-sized piece of pioneering medical technology could help paramedics, doctors and nurses diagnose strokes quicker and more accurately.
This study presents an opportunity to reduce the global risk of serious complications following cardiac and vascular surgery by making continuous patient monitoring and virtual support, from hospital to home, a reality.
Impacts of the Covid-19 pandemic on criminal justice journeys of adult and child survivors of sexual abuse, rape, and sexual assault
A big-data-centric hearing impairment rehabilitation solution using a novel and affordable hearing aid tailored for tonal language speakers, personalised hearing screening, and online therapeutic calibration and motivation service
Investigators seek to improve patient outcomes and reduce staff administration time when developing digital systems to enable their constant improvement and remove vendor lock-in.
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
