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Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
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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.
ABI can cause a range of problems across multiple areas of health and wellbeing - including relationship and intimacy issues.
NIHR funded project aiming to develop an AI solution to predict preterm birth.
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.
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.
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.
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
There is an increasing need for remote, low-cost, reliable and comfortable respiratory rate that provide physicians with accurate newborn readings.
Investigators aim to create a foundational, shared language for researchers and practitioners to rigorously develop and evaluate religiously integrated health interventions.
The HOPE programme has been designed to provide parents of children with ASD and ADHD with specialised support and training in coping skills.
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.
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.
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.
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.
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.
Pocket-sized piece of pioneering medical technology could help paramedics, doctors and nurses diagnose strokes quicker and more accurately.
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
Impacts of the Covid-19 pandemic on criminal justice journeys of adult and child survivors of sexual abuse, rape, and sexual assault
Coventry University is co-leading a group of health professionals, academics and business leaders who have been awarded £6.8m by Government to tackle poor mental health in the workplace with a focus on the East and West Midlands regions.
Priory Street
Coventry CV1 5FB
United Kingdom
Tel: +44 (0)24 7765 7688
