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 | 199 | 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 | 164 | 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 | 49 | 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 | 46 | 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 | 30 | 2022 |
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 | 28 | 2021 |
The resistomes of six carbapenem-resistant pathogens–a critical genotype–phenotype analysis A Johnning, N Karami, E Tång Hallbäck, V Müller, L Nyberg, ... Microbial genomics 4 (11), e000233, 2018 | 27 | 2018 |
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 | 24 | 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 | 22 | 2022 |
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 |
Facilitated sequence assembly using densely labeled optical DNA barcodes: A combinatorial auction approach A Dvirnas, C Pichler, CL Stewart, S Quaderi, LK Nyberg, V Müller, ... PloS one 13 (3), e0193900, 2018 | 21 | 2018 |
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 | 13 | 2023 |
Personalized acute stress classification from physiological signals with neural processes CL Stewart, A Folarin, R Dobson arXiv preprint arXiv:2002.04176, 2020 | 10 | 2020 |
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 |
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 | 8 | 2022 |
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 | 5 | 2023 |
Multilingual markers of depression in remotely collected speech samples N Cummins, J Dineley, P Conde, F Matcham, S Siddi, F Lamers, E Carr, ... | 4 | 2022 |
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 | 3 | 2023 |
Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study) C Stewart, Y Ranjan, P Conde, Z Rashid, H Sankesara, X Bai, ... JMIR research protocols 10 (12), e32587, 2021 | 3 | 2021 |
Detection of structural variations in densely-labelled optical DNA barcodes: A hidden Markov model approach A Dvirnas, C Stewart, V Müller, SK Bikkarolla, K Frykholm, L Sandegren, ... PloS one 16 (11), e0259670, 2021 | 3 | 2021 |