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Zulqarnain Rashid
Zulqarnain Rashid
Senior Research Fellow at King's College London, UK
Bestätigte E-Mail-Adresse bei kcl.ac.uk - Startseite
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Zitiert von
Zitiert von
Jahr
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
1922020
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
1582019
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
1482017
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
912019
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
452022
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
432021
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
392015
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
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
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
262021
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
252011
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
232022
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
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
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
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
112023
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
112022
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