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Blog Archives

COVID-RED is a project that is part of the EU Innovative Medicines Initiative and will evaluate the use and performance of a Ava wearable device, which uses sensors to measure breathing rate, pulse rate, skin temperature, and heart rate variability for the purpose of early detection and monitoring of COVID-19 in general and high-risk populations.

July 12, 2021
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Background and study aims Chronic obstructive pulmonary disease (COPD) is the name for a group of lung conditions that cause breathing difficulties. The term ILD encompasses a wide range of conditions affecting the lung tissue (as opposed to asthma and COPD which affect the airways) The study aims to investigate the potential benefit and feasibility

March 18, 2021
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AIMS-2-TRIALS is a research programme that will investigate the biology of autism to tailor treatments and develop new therapies and medicines. AIMS-2-TRIALS stands for Autism Innovative Medicine Studies-2-Trials. It began in June 2018 and will run until May 2023. The research programme includes a range of studies carried out by different groups. These will explore how autism

March 18, 2021
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Mobile health (mHealth) continuous remote monitoring techniques can be used to provide a detailed characterisation of a person’s physiology, environment, quality-of-life, and functional level with minimal burden using smart phones and consumer wearable devices. Biosignals, including heart rate, blood oxygen saturation, respiration rate, sleep, exercise, fatigue and activity, can be continually passively recorded while simultaneously

March 18, 2021
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Subcutaneous EEG – Forecasting of Epileptic Seizures (SUBER) ClinicalTrials.gov Identifier: NCT04061707 Sponsor: King’s College London Funding Institution: Epilepsy Foundation Subcutaneous EEG – Forecasting of Epileptic Seizures (SUBER) is a 1-year observational study (n=10), where patients with refractory focal epilepsy will undergo ultra-longterm continuous recording of subcutaneous EEG (implanted under local anesthesia) and non-invasive wrist-worn sensor bio-signals. Our

January 17, 2020
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The UNFOLD study aims to identify the processes involved in developing an identity as a ‘person in recovery’, and how recovery from mental ill-health may ‘unfold’ over time. It is funded by the NIHR Biomedical Research Centre. To date, almost all empirical studies of recovery have been retrospective and focussed on psychological change. In this

November 12, 2019
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ADHD Remote Technology (ART) Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that persists into adulthood in a significant proportion of individuals clinically diagnosed in childhood. The prevalence of ADHD among adults is 3-4% worldwide. The disorder is diagnosed based on impairing levels of inattentive, hyperactive and impulsive behaviours, but most adults with ADHD present

October 9, 2019

DynaMORE aims to promote stress resilience and improve mental health and well-being in the face of adversity. A joint goal of developing an in silico model of stress resilience. To do so, we monitor healthy at-risk individuals (18+ years old) during stressful life phases, such as transition into adulthood or higher education, training-to-street transition (police officers),

October 8, 2019

Health on the Move (HOME) Study: Using a smartphone app to explore the health of migrants in the United Kingdom Background In 2018, 14% of the people living in the UK were born abroad, yet we have a limited understanding of their health needs and broader determinants of health. To fill this knowledge gap, the

September 13, 2019

The RADAR programme aims to test if new pre-emptive therapeutic development and clinical care strategies based on remote continuous monitoring are both scientifically feasible and also practically feasible as part of a wider healthcare system. Early stages of Alzheimer’s Disease (AD) are associated with cognitive decline, overlapping with increasing functional decline (impairments in the ability

April 2, 2019
Cite RADAR-base: RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices.
Ranjan Y, Rashid Z, Stewart C, Begale M, Verbeeck D, Boettcher S, Dobson R, Folarin A, The Hyve, RADAR-CNS Consortium. URL: https://mhealth.jmir.org/2019/8/e11734/ DOI: 10.2196/11734 PMID: 31373275