This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (981) Wearable Devices and Sensors (903)

Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11734, first published .
RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

Authors of this article:

Yatharth Ranjan1 Author Orcid Image ;   Zulqarnain Rashid1 Author Orcid Image ;   Callum Stewart1 Author Orcid Image ;   Pauline Conde1 Author Orcid Image ;   Mark Begale2 Author Orcid Image ;   Denny Verbeeck3 Author Orcid Image ;   Sebastian Boettcher4 Author Orcid Image ;   The Hyve5 ;   Richard Dobson1, 6 Author Orcid Image ;   Amos Folarin1, 6 Author Orcid Image ;   The RADAR-CNS Consortium7
Article Authors Cited by (134) Tweetations (19) Metrics

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  81. Siddi S, Bailon R, Giné-Vázquez I, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Lombardini F, Annas P, Hotopf M, Penninx B, Ivan A, White K, Difrancesco S, Locatelli P, Aguiló J, Peñarrubia-Maria M, Narayan V, Folarin A, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rintala A, de Girolamo G, Simblett S, Wykes T, Myin-Germeys I, Dobson R, Haro J. The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity. Psychological Medicine 2023;53(8):3249 View
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  85. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
  86. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  87. Abreu M, Carmo A, Peralta A, Sá F, Plácido da Silva H, Bentes C, Fred A. PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy. Frontiers in Physiology 2023;14 View
  88. Labbaf S, Abbasian M, Azimi I, Dutt N, Rahmani A. ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers in Digital Health 2023;5 View
  89. Sun S, Denyer H, Sankesara H, Deng Q, Ranjan Y, Conde P, Rashid Z, Bendayan R, Asherson P, Bilbow A, Groom M, Hollis C, Folarin A, Dobson R, Kuntsi J. Remote Administration of ADHD-Sensitive Cognitive Tasks: A Pilot Study. Journal of Attention Disorders 2023;27(9):1040 View
  90. Lewetz D, Stieger S. ESMira: A decentralized open-source application for collecting experience sampling data. Behavior Research Methods 2023;56(5):4421 View
  91. Cummins N, Dineley J, Conde P, Matcham F, Siddi S, Lamers F, Carr E, Lavelle G, Leightley D, White K, Oetzmann C, Campbell E, Simblett S, Bruce S, Haro J, Penninx B, Ranjan Y, Rashid Z, Stewart C, Folarin A, Bailón R, Schuller B, Wykes T, Vairavan S, Dobson R, Narayan V, Hotopf M. Multilingual markers of depression in remotely collected speech samples: A preliminary analysis. Journal of Affective Disorders 2023;341:128 View
  92. White K, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214 View
  93. Althobiani M, Ranjan Y, Jacob J, Orini M, Dobson R, Porter J, Hurst J, Folarin A. Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study. JMIR Formative Research 2023;7:e51507 View
  94. Dalla Costa G, Nos C, Zabalza A, Buron M, Magyari M, Sellebjerg F, Guerrero A, Roselli L, La Porta M, Martinis M, Bailon R, Kontaxis S, Laporta E, Garcia E, Pokorny F, Schuller B, Folarin A, Stewart C, Leocani L, Vairavan S, Cummins N, Dobson R, Hotopf M, Narayan V, Montalban X, Sorensen P, Comi G. A wearable device perspective on the standard definitions of disability progression in multiple sclerosis. Multiple Sclerosis Journal 2024;30(1):103 View
  95. Gopalakrishnan A, Gururajan R, Zhou X, Venkataraman R, Chan K, Higgins N. A survey of autonomous monitoring systems in mental health. WIREs Data Mining and Knowledge Discovery 2024;14(3) View
  96. Adasuriya G, Barsky A, Kralj-Hans I, Mohan S, Gill S, Chen Z, Jarman J, Jones D, Valli H, Gkoutos G, Markides V, Hussain W, Wong T, Kotecha D, Haldar S. Remote monitoring of atrial fibrillation recurrence using mHealth technology (REMOTE-AF). European Heart Journal - Digital Health 2024;5(3):344 View
  97. Zhang Y, Folarin A, Dineley J, Conde P, de Angel V, Sun S, Ranjan Y, Rashid Z, Stewart C, Laiou P, Sankesara H, Qian L, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Schuller B, Vairavan S, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R, Cummins N. Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. Journal of Affective Disorders 2024;355:40 View
  98. Zhang Y, Folarin A, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P, Matcham F, White K, Oetzmann C, Lamers F, Siddi S, Simblett S, Vairavan S, Myin-Germeys I, Mohr D, Wykes T, Haro J, Annas P, Penninx B, Narayan V, Hotopf M, Dobson R. Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis. Journal of Medical Internet Research 2024;26:e55302 View
  99. Langer P, Altmüller S, Fleisch E, Barata F. CLAID: Closing the Loop on AI & Data Collection — A cross-platform transparent computing middleware framework for smart edge-cloud and digital biomarker applications. Future Generation Computer Systems 2024;159:505 View
  100. Kuehne C, Phillips M, Moody S, Bryson C, Campbell I, Conde P, Cummins N, Desrivières S, Dineley J, Dobson R, Douglas D, Folarin A, Gallop L, Hemmings A, İnce B, Mason L, Rashid Z, Bromell A, Sims C, Allen K, Bailie C, Bains P, Basher M, Battisti F, Baudinet J, Bristow K, Dawson N, Dodd L, Frater V, Freudenthal R, Gripton B, Kan C, Khor J, Kotze N, Laverack S, Martin L, Maxwell S, McDonald S, McKnight D, McKay R, Merrin J, Nash M, Nicholls D, Palmer S, Pearce S, Roberts C, Serpell L, Severs E, Simic M, Staton A, Westaway S, Sharpe H, Schmidt U, Bartel H, French T, Kelly J, Micali N, Raman S, Treasure J, Malik U, Rabelo-da-Ponte D, Stephens F, Opitz T, Trompeter N, Wilkins J, Parnell T, Abbas R, Davis G, Eadie C, Gracie L, Heslop B, McKenzie K, Odubanjo E, Sims C, Street T, Tavares-Semedo A, Wilkinson E, Zocek L. Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol. BMC Psychiatry 2024;24(1) View
  101. Tziomaka M, Kallipolitis A, Menychtas A, Gallos P, Panagopoulos C, Vassiliou A, Jahaj E, Dimopoulou I, Kotanidou A, Maglogiannis I. Extracting Interpretable Knowledge from the Remote Monitoring of COVID-19 Patients. Machine Learning and Knowledge Extraction 2024;6(2):1323 View
  102. Stegmann G, Krantsevich C, Liss J, Charles S, Bartlett M, Shefner J, Rutkove S, Kawabata K, Talkar T, Berisha V. Automated speech analytics in ALS: higher sensitivity of digital articulatory precision over the ALSFRS-R. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2024;25(7-8):767 View
  103. Gill S, Barsky A, Guan X, Bunting K, Karwath A, Tica O, Stanbury M, Haynes S, Folarin A, Dobson R, Kurps J, Asselbergs F, Grobbee D, Camm A, Eijkemans M, Gkoutos G, Kotecha D. Consumer wearable devices for evaluation of heart rate control using digoxin versus beta-blockers: the RATE-AF randomized trial. Nature Medicine 2024;30(7):2030 View
  104. Ranjan Y, Chang J, Sankesara H, Conde P, Rashid Z, Dobson R, Folarin A. RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research. Sensors 2024;24(14):4614 View
  105. Van Der Donckt J, Vandenbussche N, Van Der Donckt J, Chen S, Stojchevska M, De Brouwer M, Steenwinckel B, Paemeleire K, Ongenae F, Van Hoecke S. Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches. Scientific Reports 2024;14(1) View
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  107. Stewart C, Ranjan Y, Conde P, Sun S, Zhang Y, Rashid Z, Sankesara H, Cummins N, Laiou P, Bai X, Dobson R, Folarin A. Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study. The Lancet Digital Health 2024;6(9):e640 View
  108. Slade C, Benzo R, Washington P. Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55694 View
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  110. Rashid Z, Folarin A, Zhang Y, Ranjan Y, Conde P, Sankesara H, Sun S, Stewart C, Laiou P, Dobson R. Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform. JMIR Mental Health 2024;11:e51259 View
  111. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2024 View
  112. Sankesara H, Denyer H, Sun S, Deng Q, Ranjan Y, Conde P, Rashid Z, Asherson P, Bilbow A, Groom M, Hollis C, Dobson R, Folarin A, Kuntsi J. Identifying Digital Markers of ADHD in a Remote Monitoring Setting: Prospective Observational Study (Preprint). JMIR Formative Research 2023 View
  113. Sahandi Far M, Fischer J, Senge S, Rathmakers R, Meissner T, Schneble D, Narava M, Eickhoff S, Dukart J. JTrack-EMA+: A Cross-platform Ecological Momentary Assessment Application (Preprint). Journal of Medical Internet Research 2023 View
  114. Ibáñez D, Condominas E, Haro J, Vázquez I, RADAR-MDD-Spain , Bailón R, Garcia E, Kontaxis S, Peñarrubia-Maria M, Arranz B, Llaosa-Scholten R, Gardeñes L, Hotopf M, Matcham F, Lamers F, Penninx B, Annas P, Folarin A, Narayan V, Lima R, Siddi S. Pre- and post-COVID 19 outbreak relationship between physical activity and depressive symptoms in Spanish adults with major depressive disorder: a secondary analysis of the RADAR-MDD cohort study. Frontiers in Psychology 2024;15 View
  115. Bolton K, Mendez-Villalon A, Nanji H, Jia R, Ayling K, Figueredo G, Vedhara K. Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study. Mathematics in Medical and Life Sciences 2024;1(1) View

Books/Policy Documents

  1. Carswell C, Rea P. Biomedical Visualisation. View
  2. Bhattacherjee P, Choudhary M, Das T, Chaudhary A, Shukla S, Patra S. Sensing Tools and Techniques for COVID-19. View
  3. Hamzah A, Nadzirah S. Encyclopedia of Sensors and Biosensors. View
  4. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  5. Khanshan A, Van Gorp P, Markopoulos P. Pervasive Computing Technologies for Healthcare. View