Fatigue Systematic Review
We explored fatigue - a common symptom of long Covid. To do this, we conducted a systematic review of the literature and explored the lived experiences of those who are managing or have overcome fatigue
Developing evidence-based solutions for Westfield Health
Understanding the impact of Workplaces Wellness interventions was the aim of a Knowledge Transfer Partnership between the AWRC and Westfield Health.
Robotics for children with special needs
Children with Autism Spectrum Disorder are being supported during clinical appointments by robots, developed in a partnership between the AWRC Sheffield Children's Hospital and the Children's Hospital Charity.
Etexsense: cuff development and testing
Functional electrical stimulation (FES) is a medical device that treats foot drop (inability to lift the toes during walking) in multiple sclerosis or following stroke. It works by applying pulses of current to paralysed muscles.
The Long Covid STAR – Symptoms, Reaction Time, Activity and Recovery
Many people continue to have symptoms of Covid-19, which impacts their life long after they had expected to recover
Looking for demographic patterns in Covid 19 cases in Sheffield
We undertook a case-finding exercise to explore the demographic patterns of those affected by Covid 19 in Sheffield
An information booklet to help manage chronic fatigue brought on by Covid-19
We've developed an information booklet to help manage chronic fatigue brought on by covid-19
Supporting healthcare professionals to promote physical activity: Physical Activity Clinical Champions
The Advanced Wellbeing Research Centre at will lead a consortium with the Faculty of Sport and Exercise Medicine and Intelligent Health to run the Sport England-funded Physical Activity Clinical Champions (PACC) Programme.
Complex evaluation of support for care homes during the Covid 19 pandemic: A co-design project
Complex evaluation of support for care homes during the Covid 19 pandemic: A co-design project
An Expert System for Automating Quality Assessments of Recycled Microfibres Using Machine Learning (ML)
Dr. Abdel-Karim Al-Tamimi of Sheffield Hallam University's Computing Department and Zero Waste Works have successfully completed their pioneering project on automating quality assessments (QA) for innovative low-carbon construction technologies utilising recycled materials.