| 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): 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 |
| 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 |
| 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 |
| Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder F Matcham, E Carr, KM White, D Leightley, F Lamers, S Siddi, P Annas, ... Journal of affective disorders 310, 106-115, 2022 | 11 | 2022 |
| Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder J Dineley, G Lavelle, D Leightley, F Matcham, S Siddi, ... arXiv preprint arXiv:2104.08600, 2021 | 11 | 2021 |
| The feasibility of implementing remote measurement technologies in psychological treatment for depression: mixed methods study on engagement V De Angel, F Adeleye, Y Zhang, N Cummins, S Munir, S Lewis, ... JMIR mental health 10, e42866, 2023 | 9 | 2023 |
| Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings: retrospective analysis Y Zhang, AA Folarin, S Sun, N Cummins, S Vairavan, L Qian, Y Ranjan, ... JMIR mHealth and uHealth 10 (10), e40667, 2022 | 9 | 2022 |
| Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models EL Campbell, J Dineley, P Conde, F Matcham, KM White, C Oetzmann, ... INTERSPEECH 2023 2023, 1738-1742, 2023 | 8 | 2023 |
| Multilingual markers of depression in remotely collected speech samples: A preliminary analysis N Cummins, J Dineley, P Conde, F Matcham, S Siddi, F Lamers, E Carr, ... Journal of affective disorders 341, 128-136, 2023 | 7 | 2023 |