Our Projects
Explore our work in academia
Explore our collection of academic case studies to see how we’ve collaborated with universities, research institutions, and educational organisations to solve complex challenges.
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MAAM Project at KCL
Objective: To investigate whether ADHD symptoms, impairment, and associated functioning in women vary across the menstrual cycle, and to explore the potential effects of hormonal fluctuations on ADHD symptoms and medication efficacy, with the goal of improving diagnosis, treatment, and support for women with ADHD.
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RALPMH Project at UCL
Objective: To investigate the feasibility and potential benefits of remotely monitoring symptoms and physiological data in patients with high-burden pulmonary disorders, such as COPD, ILD, and post-hospitalization COVID, using wearable devices and smartphone sensors to improve patient care and detect disease exacerbations.
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NSHD Project at UCL
Objective: To evaluate the use of wearable technology and mobile health tools, such as RADAR-base and Garmin devices, to enhance the understanding and improvement of health in a cohort of individuals born in 1946, by gathering and analysing comprehensive data on heart rate, sleep, and physical activity over an 18-month period.
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RADAR-CNS Project at KCL
Objective: To validate the concept of highly reliable remote data collection and near real-time data management through passive sensor data from smartphones and wearables, alongside mood reporting using the Experience Sampling Methodology while also testing recruitment strategies for future projects utilising the RADAR-base platform.
Collaborations in clinical trials
Discover our case studies in the clinical trials arena, where we’ve partnered with pharmaceutical companies, research organizations, and healthcare providers to overcome challenges in trial design, patient recruitment, and data management.
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RATE-AF Trial at Birmingham University
Objective: To compare heart rate and physical activity in older, multimorbid patients with permanent atrial fibrillation and heart failure treated with either digoxin or beta-blockers, and to assess the potential of wearable technology for dynamic monitoring and prediction of patient outcomes as an alternative to traditional in-person assessments.
Explore our research publications
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Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study
Emerging mHealth and eHealth technologies, including wearable devices and smartphones, show promising feasibility for remote seizure detection and improved epilepsy care through long-term monitoring in naturalistic settings.
Callum Stewart, et. al. (The Lancet Digital Health)
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Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis
Previous mHealth studies revealed links between depression and circadian rhythms measured via wearables, but this study aims to account for seasonal variations, analysing data from participants and found associations between depression severity and circadian rhythms after adjusting for seasonal impacts.
Yuezhou Zhang, et. al. (Journal of Medical Internet Research)