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Zulqarnain Rashid
Zulqarnain Rashid
Senior Research Fellow at King's College London, UK
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1992020
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
1632019
Using Augmented Reality and Internet of Things to improve accessibility of people with motor disabilities in the context of Smart Cities
Z Rashid, J Melià-Seguí, R Pous, E Peig
Future Generation Computer Systems 76, 248-261, 2017
1522017
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
962019
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
492022
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
462021
Bringing online shopping experience to offline retail through augmented reality and RFID
Z Rashid, E Peig, R Pous
2015 5th International Conference on the Internet of Things (IOT), 45-51, 2015
402015
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
302022
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
282021
Consortium
Y Ranjan, Z Rashid, C Stewart, P Conde, M Begale, D Verbeeck, ...
RADAR-Base: open source mobile health platform for collecting, monitoring …, 2019
272019
Cricking: customer-product interaction in retail using pervasive technologies
R Pous, J Melià-Seguí, A Carreras, M Morenza-Cinos, Z Rashid
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013
272013
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
262019
Cloud computing aware ubiquitous health care system
Z Rashid, U Farooq, JK Jang, SH Park
2011 E-Health and Bioengineering Conference (EHB), 1-4, 2011
262011
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
242022
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
222022
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
212018
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
132023
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
132018
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
122022
Mobile augmented reality for browsing physical spaces
Z Rashid, R Pous, J Melià-Seguí, M Morenza-Cinos
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
122014
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