| Using smartphones and wearable devices to monitor behavioral changes during COVID-19 S Sun, AA Folarin, Y Ranjan, Z Rashid, P Conde, C Stewart, N Cummins, ... Journal of medical Internet research 22 (9), e19992, 2020 | 217 | 2020 |
| RADAR-base: open source mobile health platform for collecting, monitoring, and analyzing data using sensors, wearables, and mobile devices Y Ranjan, Z Rashid, C Stewart, P Conde, M Begale, D Verbeeck, ... JMIR mHealth and uHealth 7 (8), e11734, 2019 | 178 | 2019 |
| Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol F Matcham, C Barattieri di San Pietro, V Bulgari, G De Girolamo, ... BMC psychiatry 19, 1-11, 2019 | 98 | 2019 |
| Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study F Matcham, D Leightley, S Siddi, F Lamers, KM White, P Annas, ... BMC psychiatry 22 (1), 136, 2022 | 66 | 2022 |
| Relationship between major depression symptom severity and sleep collected using a wristband wearable device: multicenter longitudinal observational study Y Zhang, AA Folarin, S Sun, N Cummins, R Bendayan, Y Ranjan, ... JMIR mHealth and uHealth 9 (4), e24604, 2021 | 54 | 2021 |
| Predicting depressive symptom severity through individuals’ nearby bluetooth device count data collected by mobile phones: preliminary longitudinal study Y Zhang, AA Folarin, S Sun, N Cummins, Y Ranjan, Z Rashid, P Conde, ... JMIR mHealth and uHealth 9 (7), e29840, 2021 | 34 | 2021 |
| Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder S Liu, J Han, EL Puyal, S Kontaxis, S Sun, P Locatelli, J Dineley, ... Pattern recognition 123, 108403, 2022 | 32 | 2022 |
| Hyve Y Ranjan, Z Rashid, C Stewart, P Conde, M Begale, D Verbeeck, ... Dobson R, Folarin A, RADAR-CNS Consortium RADAR-Base: open source mobile …, 2019 | 28 | 2019 |
| Consortium Y Ranjan, Z Rashid, C Stewart, P Conde, M Begale, D Verbeeck, ... RADAR-Base: open source mobile health platform for collecting, monitoring …, 2019 | 26 | 2019 |
| Longitudinal relationships between depressive symptom severity and phone-measured mobility: dynamic structural equation modeling study Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, R Bendayan, ... JMIR mental health 9 (3), e34898, 2022 | 25 | 2022 |
| The association between home stay and symptom severity in major depressive disorder: preliminary findings from a multicenter observational study using geolocation data from … P Laiou, DA Kaliukhovich, AA Folarin, Y Ranjan, Z Rashid, P Conde, ... JMIR mHealth and uHealth 10 (1), e28095, 2022 | 23 | 2022 |
| Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology D Leightley, G Lavelle, KM White, S Sun, F Matcham, A Ivan, C Oetzmann, ... BMC psychiatry 21, 1-11, 2021 | 23 | 2021 |
| RADAR-base: major depressive disorder and epilepsy case studies CL Stewart, Z Rashid, Y Ranjan, S Sun, RJB Dobson, AA Folarin Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 21 | 2018 |
| Remote assessment of lung disease and impact on physical and mental health (RALPMH): protocol for a prospective observational study Y Ranjan, M Althobiani, J Jacob, M Orini, RJB Dobson, J Porter, J Hurst, ... JMIR research protocols 10 (10), e28873, 2021 | 19 | 2021 |
| Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study Y Zhang, A Pratap, AA Folarin, S Sun, N Cummins, F Matcham, ... NPJ digital medicine 6 (1), 25, 2023 | 15 | 2023 |
| Challenges in using mHealth data from smartphones and wearable devices to predict depression symptom severity: retrospective analysis S Sun, AA Folarin, Y Zhang, N Cummins, R Garcia-Dias, C Stewart, ... Journal of medical Internet research 25, e45233, 2023 | 14 | 2023 |
| RADAR-base: a novel open source m-Health platform Y Ranjan, M Kerz, Z Rashid, S Böttcher, RJB Dobson, AA Folarin Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 14 | 2018 |
| The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity S Siddi, R Bailon, I Giné-Vázquez, F Matcham, F Lamers, S Kontaxis, ... Psychological medicine 53 (8), 3249-3260, 2023 | 13 | 2023 |
| Consortium, on behalf of the R.-C, 2019. Remote assessment of disease and relapse i n major depressive disorder (RADAR-MDD): a multi-centre prospective cohort stud y protocol F Matcham, C Barattieri di San Pietro, V Bulgari, G de Girolamo, ... BMC Psychiatry 19, e72, 0 | 12 | |
| The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions S Sun, AA Folarin, Y Zhang, N Cummins, S Liu, C Stewart, Y Ranjan, ... Computer methods and programs in biomedicine 227, 107204, 2022 | 11 | 2022 |
