Skip to main content
Back to King's College London homepage
Health

RADAR-CNS (Remote Assessment of Disease and Relapse – Central Nervous System)

Revolutionising the care of brain disorders with mobile technology

RADAR-CNS was a major new research programme that developed new ways of monitoring major depressive disorder, epilepsy, and multiple sclerosis using wearable devices and smartphone technology.

It was jointly led by King’s College London and Janssen Pharmaceutica NV, funded by the Innovative Medicines Initiative (a Public Private Partnership established between the European Federation of Pharmaceutical Industries and Associations (EFPIA) and the European Union) and involved 22 organisations from across Europe and the US. The programme ran from 2016 to 2022.

RADAR-CNS was one of the largest remote disease-monitoring studies in Europe, and recruited 1450  individuals with brain disorders and collected over 62 TB of data

RADAR-CNS brought together clinicians, researchers, engineers, computer scientists and bioinformaticians from all over the world with the aim of improving people’s quality of life and to provide insight into how depression, epilepsy and MS are managed and treated.

Data from mobile devices can give a full picture of a person’s condition at a level of detail which was previously impossible, offering the potential to detect changes in behaviour, sleep, or mood before the individual themselves is aware of it. This could help them to predict – or even avoid – a relapse.

Patient Advisory Board

Patients and carers were involved in RADAR-CNS from the start—helping to identify the most important symptoms to target. The patient advisory group helped researchers design and develop user-friendly technologies that also protect privacy and security.

To ensure that the views of people with conditions were incorporated into RADAR-CNS, we set up a Patient Advisory Board that included people with depression, epilepsy and multiple sclerosis along with representatives from relevant support organisations. Their role as self-employed advisors was to provide feedback on the layout and content of research materials and provide expert opinions on important decisions that were made in the design of studies.

RADAR-base

The main objective of Technical Platforms work package of the programme was to develop the data collection platform for RADAR-CNS. This work formed the basis of the RADAR-base platform and was formally open sourced under the Apache2 licence in 2018.

The RADAR-base platform was used to collect data from a variety of wearable sensor technologies (Fitbit, Empatica E4, Faros, Biovotion), the Passive App for phone sensors (e.g. accelerometer, Bluetooth, light) and the Active App (e.g questionnaires and speech tests). RADAR-base also integrated the 3rd party THINC-IT app for cognitive testing. 

RADAR-base is now used widely for research data collection in many other projects (e.g. RADAR-AD, Covid-Collab, ART-CARMA) and has since grown a vibrant open-source community that continues to contribute to the development of the platform's data collection capabilities and functionality.

Project Team

Zulqarnain Rashid

Senior Research Fellow & Technical Lead

Publications

2023

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

Nicholas Cummins, Judith Dineley, Pauline Conde, Faith Matcham, Sara Siddi, Femke Lamers, Ewan Carr, Grace Lavelle, Daniel Leightley, Katie M. White, Carolin Oetzmann, Edward L. Campbell, Sara Simblett, Stuart Bruce, Josep Maria Haro, Brenda W.J.H. Penninx, Yatharth Ranjan, Zulqarnain Rashid, Callum Stewart, Amos A. Folarin, Raquel Bailón, Björn W. Schuller, Til Wykes, Srinivasan Vairavan, Richard J.B. Dobson, Vaibhav A. Narayan, Matthew Hotopf; Journal of Affective Disorders: https://doi.org/10.1016/j.jad.2023.08.097

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Sun S, Folarin AA, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White KM, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Vairavan S, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium; J Med Internet Res 2023;25:e45233, doi: 10.2196/45233

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

S. Siddi, R. Bailon, I. Giné-Vázquez, F. Matcham, F. Lamers, S. Kontaxis, E. Laporta, E. Garcia, F. Lombardini, P. Annas, M. Hotopf, B. W. J. H. Penninx, A. Ivan, K. M. White, S. Difrancesco, P. Locatelli, J. Aguiló, M. T. Peñarrubia-Maria, V. A. Narayan, A. Folarin, D. Leightley, N. Cummins, S. Vairavan, Y. Ranjan, A. Rintala, G. de Girolamo, S. K. Simblett, T. Wykes, I. Myin-Germeys, R. Dobson, J. M. Haro and PAB members. Psychological Medicine DOI: https://doi.org/10.1017/S0033291723001034

Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

Andrews JA, Craven MP, Guo B, Weyer J, Lees S, Zormpas SI, Thorpe SE, Devonshire J, San Antonio-Arce V, Whitehouse WP, Julie J, Malins S, Hammers A, Reif A, Ruhe HG, Durbano F, Barlati S, Sen A, Frederiksen JL, Martinelli A, Callen A, Torras-Borrell J, Berrocal-Izquierdo N, Zabalza A, Morriss R, Hollis C, The RADAR-CNS Consortium; JMIR Neurotech 2023;2:e41439, doi: 10.2196/41439

Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment

S.K. Simblett, M. Pennington, M. Quaife, S. Siddi, F. Lombardini, J.M. Haro, M.T. Peñarrubia-Maria, S. Bruce, R. Nica, S. Zorbas, A. Polhemus, J. Novak, E. Dawe-Lane, D. Morris, M. Mutepua, C. Odoi, E. Wilson, F. Matcham, K.M. White, M. Hotopf, T. Wykes, Journal of Affective Disorders, 2023, ISSN 0165-0327, doi.org/10.1016/j.jad.2023.03.030

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study

Lavalle R, Condominas E, Haro JM, Giné-Vázquez I, Bailon R, Laporta E, Garcia E, Kontaxis S, Alacid GR, Lombardini F, Preti A, Peñarrubia-Maria MT, Coromina M, Arranz B, Vilella E, Rubio-Alacid E, RADAR-MDD Spain, Matcham F, Lamers F, Hotopf M, Penninx BWJH, Annas P, Narayan V, Simblett SK, Siddi S, the RADAR-CNS Consortium. International Journal of Environmental Research and Public Health. 2023; 20(6):5161. doi.org/10.3390/ijerph20065161

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Zuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, RADAR-CNS consortium. npj Digit. Med. 6, 25 (2023). doi.org/10.1038/s41746-023-00749-3

Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis

White KM, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro JM, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F JMIR Hum Factors 2023;10:e39479 doi: 10.2196/39479

The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin AA, Ranjan Y, Conde P, Rashid Z, Dobson R, Hotopf M JMIR Ment Health 2023;10:e42866 doi: 10.2196/42866

2022

Data quality evaluation in wearable monitoring

Sebastian Böttcher, Solveig Vieluf, Elisa Bruno, Boney Joseph, Nino Epitashvili, Andrea Biondi, Nicolas Zabler, Martin Glasstetter, Matthias Dümpelmann, Kristof Van Laerhoven, Mona Nasseri, Benjamin H. Brinkman, Mark P. Richardson, Andreas Schulze-Bonhage & Tobias Loddenkemper, Scientific Reports Vol 12, Article number: 21412 (2022)

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

Siddi S, Giné-Vázquez I, Bailon R, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Arranz B, Dalla Costa G, Guerrero AI, Zabalza A, Buron MD, Comi G, Leocani L, Annas P, Hotopf M, Penninx BWJH, Magyari M, Sørensen PS, Montalban X, Lavelle G, Ivan A, Oetzmann C, White KM, Difrancesco S, Locatelli P, Mohr DC, Aguiló J, Narayan V, Folarin A, Dobson RJB, Dineley J, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rashid Z, Rintala A, Girolamo GD, Preti A, Simblett S, Wykes T, PAB Members, Myin-Germeys I, Haro JM, on behalf of the RADAR-CNS Consortium. Journal of Clinical Medicine. 2022; 11(23):7163. doi.org/10.3390/jcm11237163

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study

Lavalle R, Condominas E, Haro JM, Giné-Vázquez I, Bailon R, Laporta E, Garcia E, Kontaxis S, Alacid GR, Lombardini F, Preti A, Peñarrubia-Maria MT, Coromina M, Arranz B, Vilella E, Rubio-Alacid E, RADAR-MDD Spain, Matcham F, Lamers F, Hotopf M, Penninx BWJH, Annas P, Narayan V, Simblett SK, Siddi S, the RADAR-CNS Consortium. International Journal of Environmental Research and Public Health. 2023; 20(6):5161. doi.org/10.3390/ijerph20065161

Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews

Ashley Polhemus; Sara Simblett; Erin Dawe-Lane; Gina Gilpin; Benjamin Elliott; Sagar Jilka; Jan Novak; Raluca Ileana Nica; Gergely Temesi; Til Wykes, JMIR Hum Factors 2022;9(4):e40133
doi: 10.2196/40133

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, Nicholas Cummins, Shuo Liu, Callum Stewart, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Petroula Laiou, Heet Sankesara, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Melinda Magyari, Ana Isabel Guerrero, Ana Zabalza, Srinivasan Vairavan, Raquel Bailon, Sara Simblett, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Richard JB Dobson, RADAR-CNS consortium, Computer Methods and Programs in Biomedicine, Vol 227, doi.org/10.1016/j.cmpb.2022.107204

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

Zhang Y, Folarin AA, Sun S, Cummins N, Vairavan S, Qian L, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Sankesara H, Matcham F, White KM, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium. JMIR Mhealth Uhealth 2022;10(10):e40667, mhealth.jmir.org/2022/10/e40667

Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder.

Carolin Oetzmann, Katie M. White, Alina Ivan, Jessica Julie, Daniel Leightley, Grace Lavelle, Femke Lamers, Sara Siddi, Peter Annas, Sara Arranz Garcia, Josep Maria Haro, David C. Mohr, Brenda W. J. H. Penninx, Sara K. Simblett, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Faith Matcham & RADAR-CNS consortium. npj Digit. Med. 5, 133 (2022), doi.org/10.1038/s41746-022-00680-z

Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder

F.Matcham, E.Carr, K.M.White, D.Leightley, F.Lamers, S.Siddi, P.Annas, G.de Girolamo, J.M.Haro, M.Horsfall, A.Ivan, G.Lavelle, Q.Li, F.Lombardini, D.C.Mohr, V.A.Narayan, B.W.H.J.Penninx, C.Oetzmann, M.Coromina, S.K.Simblett, J.Weyer, T.Wykes, S.Zorbas, J.C.Brasen, I.Myin-Germeys, P.Conde, R.J.B.Dobson, A.A.Folarin, Y.Ranjan, Z.Rashid, N.Cummins, J.Dineley, S.Vairavan, M.Hotopf, RADAR-CNS consortium. Journal of Affective Disorders, Vol 310 www.sciencedirect.com/science/article/abs/pii/S0165032722005079

Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals

J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss, C. Hollis and RADAR-CNS Consortium. BMC Medical Informatics and Decision Making Vol 22, 125 (2022) bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01856-z

Key Drivers and Facilitators of the Choice to Use mHealth Technology in People With Neurological Conditions: Observational Study

Sara Simblett, Mark Pennington, Matthew Quaife, Evangelia Theochari, Patrick Burke, Giampaolo Brichetto, Julie Devonshire, Simon Lees, Ann Little, Angie Pullen, Amanda Stoneman, Sarah Thorpe, Janice Weyer, Ashley Polhemus, Jan Novak, Erin Dawe-Lane, Daniel Morris, Magano Mutepua, Clarissa Odoi, Emma Wilson, Til Wykes, Vol 6, No 5 (2022) formative.jmir.org/2022/5/e29509

Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients

Sebastian Böttcher, Elisa Bruno, Nino Epitashvili, Matthias Dümpelmann, Nicolas Zabler, Martin Glasstetter, Valentina Ticcinelli, Sarah Thorpe, Simon Lees, Kristof Van Laerhoven, Mark P Richardson, Andreas Schulze-Bonhage. Sensors 2022, 22 (9), 3318 https://doi.org/10.3390/s22093318

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, Nicholas Cummins, Srinivasan Vairavan, Rebecca Bendayan, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Heet Sankesara, Faith Matcham, Katie M White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Elisabet Vilella, Sara Simblett, Aki Rintala, Stuart Bruce, David C Mohr, Inez Myin-Germeys, Til Wykes 13, Josep Maria Haro, Brenda WJH Penninx, Vaibhav A Narayan, Peter Annas, Matthew Hotopf, Richard JB Dobson, RADAR-CNS consortium JMIR Mental Health Vol 9, No 3 JMIR Mental Health - Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Faith Matcham, Daniel Leightley, Sara Siddi, Femke Lamers, Katie M. White, Peter Annas, Giovanni de Girolamo, Sonia Difrancesco, Josep Maria Haro, Melany Horsfall, Alina Ivan, Grace Lavelle, Qingqin Li, Federica Lombardini, David C. Mohr, Vaibhav A. Narayan, Carolin Oetzmann, Brenda W. J. H. Penninx, Stuart Bruce, Raluca Nica, Sara K. Simblett, Til Wykes, Jens Christian Brasen, Inez Myin-Germeys, Aki Rintala, Pauline Conde, Richard J. B. Dobson, Amos A. Folarin, Callum Stewart, Yatharth Ranjan, Zulqarnain Rashid, Nick Cummins, Nikolay V. Manyakov, Srinivasan Vairavan & Matthew Hotopf BMC Psychiatry 22, 136 (2022). https://doi.org/10.1186/s12888-022-03753-1

The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones

Laiou P, Kaliukhovich DA, Folarin AA, Ranjan Y, Rashid Z, Conde P, Stewart C, Sun S, Zhang Y, Matcham F, Ivan A, Lavelle G, Siddi S, Lamers F, Penninx BW, Haro JM, Annas P, Cummins N, Vairavan S, Manyakov NV, Narayan VA, Dobson RJ, Hotopf M, and the RADAR-CNS Consortium, JMIR Mhealth Uhealth 2022;10(1):e28095, (28 January 2022) doi: 10.2196/28095 https://mhealth.jmir.org/2022/1/e28095

2021

Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Böttcher S, Bruno E, Manyakov NV, Epitashvili N, Claes K, Glasstetter M, Thorpe S, Lees S, Dümpelmann M, Van Laerhoven K, Richardson MP, Schulze-Bonhage A, The RADAR-CNS Consortium. JMIR Mhealth Uhealth 2021;9(11):e27674. doi: 10.2196/27674

October 2021

The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey

Andrews, J.A., Craven, M.P., Lang, A.R. et al. BMC Med Inform Decis Mak 21, 282 (2021). https://doi.org/10.1186/s12911-021-01640-5

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Amos A Folarin, Richard JB Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Björn Schuller, RADAR-CNS Consortium. Pattern Recognition, Volume 123, 2022,1 doi:
https://doi.org/10.1016/j.patcog.2021.108403

September 2021

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

Daniel Leightley, Grace Lavelle, Katie M. White, Shaoxiong Sun, Faith Matcham, Alina Ivan, Carolin Oetzmann, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Mario Haro, Inez Myin-Germeys, Stuart Bruce, Raluca Nica, Alice Wickersham, Peter Annas, David C. Mohr, Sara Simblett, Til Wykes, Nicholas Cummins, Amos Akinola Folarin, Pauline Conde, Yatharth Ranjan, Richard J. B. Dobson, Viabhav A. Narayan & Mathew Hotopf On behalf of the RADAR-CNS Consortium. BMC Psychiatry 21, 435 (2021). https://doi.org/10.1186/s12888-021-03434-5

August 2021

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder

Dineley, J., Lavelle, G., Leightley, D., Matcham, F., Siddi, S., Peñarrubia-María, M.T., White, K.M., Ivan, A., Oetzmann, C., Simblett, S., Dawe-Lane, E., Bruce, S., Stahl, D., Ranjan, Y., Rashid, Z., Conde, P., Folarin, A.A., Haro, J.M., Wykes, T., Dobson, R.J.B., Narayan, V.A., Hotopf, M., Schuller, B.W., Cummins, N., The RADAR-CNS Consortium. (2021) Proc. Interspeech 2021, 631-635, doi: 10.21437/Interspeech.2021-1240

July 2021

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Zhang Y, Folarin AA, Sun S, Cummins N, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, Oetzmann C, Lamers F, Siddi S, Simblett S, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium. JMIR Mhealth Uhealth 2021;9(7):e29840. DOI: 10.2196/29840

April 2021

Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study

Zhang Y, Folarin A, Sun S, Cummins N, Bendayan R, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, White K, Lamers F, Siddi S, Simblett S, Myin-Germeys I, Rintala A, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R, on behalf of the RADAR-CNS Consortium, JMIR Mhealth Uhealth 2021;9(4):e24604 (12 April 2021), DOI: 10.2196/24604

March 2021

Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures

Elisa Bruno; Andrea Biondi; Mark P.Richardson on behalf of the RADAR-CNS Consortium, Seizure, (17 March 2021) DOI: https://doi.org/10.1016/j.seizure.2021.03.013

December 2020

Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study

Elisa Bruno; Andrea Biondi; Sebastian Böttcher; Gergely Vértes; Richard Dobson; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Nikolay Manyakov; Aki Rintala; Inez Myin-Germeys; Sara Simblett; Til Wykes; Amanda Stoneman; Ann Little; Sarah Thorpe; Simon Lees; Andreas Schulze-Bonhage; Mark Richardson on behalf of the RADAR-CNS Consortium, JMIR Research Protocols, (16 December 2020) DOI: 10.2196/21840

November 2020

Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study

Craven MP, Andrews JA, Lang AR, Simblett SK, Bruce S, Thorpe S, Wykes T, Morriss R, Hollis C, The RADAR-CNS Consortium; JMIR Form Res 2020;4(11):e22756 DOI: 10.2196/22756

September 2020

Day and night comfort and stability on the body of four wearable devices for seizure detection: A direct user-experience

Elisa Bruno; Andrea Biondi; Sebastian Böttcher; Andreas Schulze-Bonhage; Mark P. Richardson; on behalf of the RADAR-CNS Consortium, Epilepsy & Behavior, (September 26 2020) DOI: https://doi.org/10.1016/j.yebeh.2020.107478

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Shaoxiong Sun; Amos A Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Nicholas Cummins; Faith Matcham; Gloria Dalla Costa; Sara Simblett; Letizia Leocani; Femke Lamers; Per Soelberg Sørensen; Mathias Buron; Ana Zabalza; Ana Isabel Guerrero Pérez; Brenda WJH Penninx; Sara Siddi; Josep Maria Haro; Inez Myin-Germeys; Aki Rintala; Til Wykes; Vaibhav A Narayan; Giancarlo Comi; Matthew Hotopf; Richard JB Dobson; RADAR-CNS Consortium, JMIR Theme Issue 2020: COVID-19 Special Issue (September 2020) DOI: 10.2196/19992

August 2020

Patients self-mastery of wearable devices for seizure detection: A direct user-experience

Elisa Bruno, Andrea Biondi, S.Thorpe, Mark P Richardson on behalf of the RADAR-CNS Consortium, Seizure, (23 August 2020) DOI: https://doi.org/10.1016/j.seizure.2020.08.023

July 2020

Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study

J. Andrews, M. Craven, J. Jamnadas-Khoda, A. Lang, R. Morriss, C. Hollis, the RADAR-CNS Consortium, Journal of Medical Internet Research, Vol 22, No 7 (2020): July, DOI: 10.2196/17414

Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study

Gloria Dalla Costa, Letizia Leocani, Xavier Montalban, Ana Isabel Guerrero, Per Soelberg Sørensen, Melinda Magyari, Richard J. B. Dobson, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi & on behalf of the RADAR-CNS consortium, Neurological Sciences (2 July 2020) DOI: https://link.springer.com/article/10.1007/s10072-020-04519-x

May 2020

Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study

Polhemus AM, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf MF, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov NV, Narayan VA, Hotopf M
JMIR Mhealth Uhealth 2020;8(5):e16043, DOI: 10.2196/16043

Post‐ictal accelerometer silence as a marker of post‐ictal immobility

Elisa Bruno, Sebastian Böttcher, Andrea Biondi, Nino Epitashvili, Nikolay V. Manyakov, Simon Lees, Andreas Schulze‐Bonhage, Mark P. Richardson on behalf of the RADAR-CNS Consortium
Wiley Online Library, 27 May 2020, DOI: https://doi.org/10.1111/epi.16552

April 2020

The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature

Giovanni de Girolamo, Chiara Barattieri di San Pietro, Viola Bulgari, Jessica Dagani, Clarissa Ferrari, Matthew Hotopf, Giuseppe Iannone, Ambra Macis, Faith Matcham, Inez Myin‐Germeys, Aki Rintala, Sara Simblett, Til Wykes, Cristina Zarbo
Wiley Online Library, 27 April 2020, DOI: https://doi.org/10.1002/da.23023

January 2020

Patient's experience of wearing multimodal sensor devices intended to detect epileptic seizures: A qualitative analysis

S. Simblett, A. Biondi, E. Bruno, D. Ballard, A. Stoneman, S. Lees, M. P. Richardson, T. Wykes, for the RADAR-CNS Consortium
Epilepsy & Behaviour, Volume 102, January 2020, DOI: 10.1016/j.yebeh.2019.106717

News

Pioneering dance performance explores 'living well with technology' at King's Chapel

Strand Campus played host to a dance performance with a difference in 'Feedback Loops' on 18 January.

Feedback Loops performance in the King’s Chapel, dancer Anna Spink

How can speech recorded with smartphones help monitor depression?

Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

speech recording RADAR

Landmark project uses smartphones and wearables to manage depression, multiple sclerosis and epilepsy

The RADAR-CNS project has collected data from smartphones and wearables to assess how remote measurement technology could help manage depression, multiple...

RADAR-CNS smartphone wearables

Spending more time at home is linked to more severe symptoms in people with depression

Researchers from the RADAR-CNS project have used data from smartphones and wearables to investigate the association between time spent at home and the...

More than one in three young adults report symptoms of ‘smartphone addiction’, regardless of length of daily use

Project Team

Zulqarnain Rashid

Senior Research Fellow & Technical Lead

Publications

2023

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

Nicholas Cummins, Judith Dineley, Pauline Conde, Faith Matcham, Sara Siddi, Femke Lamers, Ewan Carr, Grace Lavelle, Daniel Leightley, Katie M. White, Carolin Oetzmann, Edward L. Campbell, Sara Simblett, Stuart Bruce, Josep Maria Haro, Brenda W.J.H. Penninx, Yatharth Ranjan, Zulqarnain Rashid, Callum Stewart, Amos A. Folarin, Raquel Bailón, Björn W. Schuller, Til Wykes, Srinivasan Vairavan, Richard J.B. Dobson, Vaibhav A. Narayan, Matthew Hotopf; Journal of Affective Disorders: https://doi.org/10.1016/j.jad.2023.08.097

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Sun S, Folarin AA, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White KM, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Vairavan S, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium; J Med Internet Res 2023;25:e45233, doi: 10.2196/45233

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

S. Siddi, R. Bailon, I. Giné-Vázquez, F. Matcham, F. Lamers, S. Kontaxis, E. Laporta, E. Garcia, F. Lombardini, P. Annas, M. Hotopf, B. W. J. H. Penninx, A. Ivan, K. M. White, S. Difrancesco, P. Locatelli, J. Aguiló, M. T. Peñarrubia-Maria, V. A. Narayan, A. Folarin, D. Leightley, N. Cummins, S. Vairavan, Y. Ranjan, A. Rintala, G. de Girolamo, S. K. Simblett, T. Wykes, I. Myin-Germeys, R. Dobson, J. M. Haro and PAB members. Psychological Medicine DOI: https://doi.org/10.1017/S0033291723001034

Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

Andrews JA, Craven MP, Guo B, Weyer J, Lees S, Zormpas SI, Thorpe SE, Devonshire J, San Antonio-Arce V, Whitehouse WP, Julie J, Malins S, Hammers A, Reif A, Ruhe HG, Durbano F, Barlati S, Sen A, Frederiksen JL, Martinelli A, Callen A, Torras-Borrell J, Berrocal-Izquierdo N, Zabalza A, Morriss R, Hollis C, The RADAR-CNS Consortium; JMIR Neurotech 2023;2:e41439, doi: 10.2196/41439

Patient preferences for key drivers and facilitators of adoption of mHealth technology to manage depression: A discrete choice experiment

S.K. Simblett, M. Pennington, M. Quaife, S. Siddi, F. Lombardini, J.M. Haro, M.T. Peñarrubia-Maria, S. Bruce, R. Nica, S. Zorbas, A. Polhemus, J. Novak, E. Dawe-Lane, D. Morris, M. Mutepua, C. Odoi, E. Wilson, F. Matcham, K.M. White, M. Hotopf, T. Wykes, Journal of Affective Disorders, 2023, ISSN 0165-0327, doi.org/10.1016/j.jad.2023.03.030

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study

Lavalle R, Condominas E, Haro JM, Giné-Vázquez I, Bailon R, Laporta E, Garcia E, Kontaxis S, Alacid GR, Lombardini F, Preti A, Peñarrubia-Maria MT, Coromina M, Arranz B, Vilella E, Rubio-Alacid E, RADAR-MDD Spain, Matcham F, Lamers F, Hotopf M, Penninx BWJH, Annas P, Narayan V, Simblett SK, Siddi S, the RADAR-CNS Consortium. International Journal of Environmental Research and Public Health. 2023; 20(6):5161. doi.org/10.3390/ijerph20065161

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Zuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, RADAR-CNS consortium. npj Digit. Med. 6, 25 (2023). doi.org/10.1038/s41746-023-00749-3

Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis

White KM, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro JM, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F JMIR Hum Factors 2023;10:e39479 doi: 10.2196/39479

The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement

de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin AA, Ranjan Y, Conde P, Rashid Z, Dobson R, Hotopf M JMIR Ment Health 2023;10:e42866 doi: 10.2196/42866

2022

Data quality evaluation in wearable monitoring

Sebastian Böttcher, Solveig Vieluf, Elisa Bruno, Boney Joseph, Nino Epitashvili, Andrea Biondi, Nicolas Zabler, Martin Glasstetter, Matthias Dümpelmann, Kristof Van Laerhoven, Mona Nasseri, Benjamin H. Brinkman, Mark P. Richardson, Andreas Schulze-Bonhage & Tobias Loddenkemper, Scientific Reports Vol 12, Article number: 21412 (2022)

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

Siddi S, Giné-Vázquez I, Bailon R, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Arranz B, Dalla Costa G, Guerrero AI, Zabalza A, Buron MD, Comi G, Leocani L, Annas P, Hotopf M, Penninx BWJH, Magyari M, Sørensen PS, Montalban X, Lavelle G, Ivan A, Oetzmann C, White KM, Difrancesco S, Locatelli P, Mohr DC, Aguiló J, Narayan V, Folarin A, Dobson RJB, Dineley J, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rashid Z, Rintala A, Girolamo GD, Preti A, Simblett S, Wykes T, PAB Members, Myin-Germeys I, Haro JM, on behalf of the RADAR-CNS Consortium. Journal of Clinical Medicine. 2022; 11(23):7163. doi.org/10.3390/jcm11237163

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study

Lavalle R, Condominas E, Haro JM, Giné-Vázquez I, Bailon R, Laporta E, Garcia E, Kontaxis S, Alacid GR, Lombardini F, Preti A, Peñarrubia-Maria MT, Coromina M, Arranz B, Vilella E, Rubio-Alacid E, RADAR-MDD Spain, Matcham F, Lamers F, Hotopf M, Penninx BWJH, Annas P, Narayan V, Simblett SK, Siddi S, the RADAR-CNS Consortium. International Journal of Environmental Research and Public Health. 2023; 20(6):5161. doi.org/10.3390/ijerph20065161

Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews

Ashley Polhemus; Sara Simblett; Erin Dawe-Lane; Gina Gilpin; Benjamin Elliott; Sagar Jilka; Jan Novak; Raluca Ileana Nica; Gergely Temesi; Til Wykes, JMIR Hum Factors 2022;9(4):e40133
doi: 10.2196/40133

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions

Shaoxiong Sun, Amos A Folarin, Yuezhou Zhang, Nicholas Cummins, Shuo Liu, Callum Stewart, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Petroula Laiou, Heet Sankesara, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Melinda Magyari, Ana Isabel Guerrero, Ana Zabalza, Srinivasan Vairavan, Raquel Bailon, Sara Simblett, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Richard JB Dobson, RADAR-CNS consortium, Computer Methods and Programs in Biomedicine, Vol 227, doi.org/10.1016/j.cmpb.2022.107204

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

Zhang Y, Folarin AA, Sun S, Cummins N, Vairavan S, Qian L, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Sankesara H, Matcham F, White KM, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium. JMIR Mhealth Uhealth 2022;10(10):e40667, mhealth.jmir.org/2022/10/e40667

Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder.

Carolin Oetzmann, Katie M. White, Alina Ivan, Jessica Julie, Daniel Leightley, Grace Lavelle, Femke Lamers, Sara Siddi, Peter Annas, Sara Arranz Garcia, Josep Maria Haro, David C. Mohr, Brenda W. J. H. Penninx, Sara K. Simblett, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Faith Matcham & RADAR-CNS consortium. npj Digit. Med. 5, 133 (2022), doi.org/10.1038/s41746-022-00680-z

Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder

F.Matcham, E.Carr, K.M.White, D.Leightley, F.Lamers, S.Siddi, P.Annas, G.de Girolamo, J.M.Haro, M.Horsfall, A.Ivan, G.Lavelle, Q.Li, F.Lombardini, D.C.Mohr, V.A.Narayan, B.W.H.J.Penninx, C.Oetzmann, M.Coromina, S.K.Simblett, J.Weyer, T.Wykes, S.Zorbas, J.C.Brasen, I.Myin-Germeys, P.Conde, R.J.B.Dobson, A.A.Folarin, Y.Ranjan, Z.Rashid, N.Cummins, J.Dineley, S.Vairavan, M.Hotopf, RADAR-CNS consortium. Journal of Affective Disorders, Vol 310 www.sciencedirect.com/science/article/abs/pii/S0165032722005079

Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals

J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss, C. Hollis and RADAR-CNS Consortium. BMC Medical Informatics and Decision Making Vol 22, 125 (2022) bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-01856-z

Key Drivers and Facilitators of the Choice to Use mHealth Technology in People With Neurological Conditions: Observational Study

Sara Simblett, Mark Pennington, Matthew Quaife, Evangelia Theochari, Patrick Burke, Giampaolo Brichetto, Julie Devonshire, Simon Lees, Ann Little, Angie Pullen, Amanda Stoneman, Sarah Thorpe, Janice Weyer, Ashley Polhemus, Jan Novak, Erin Dawe-Lane, Daniel Morris, Magano Mutepua, Clarissa Odoi, Emma Wilson, Til Wykes, Vol 6, No 5 (2022) formative.jmir.org/2022/5/e29509

Intra- and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients

Sebastian Böttcher, Elisa Bruno, Nino Epitashvili, Matthias Dümpelmann, Nicolas Zabler, Martin Glasstetter, Valentina Ticcinelli, Sarah Thorpe, Simon Lees, Kristof Van Laerhoven, Mark P Richardson, Andreas Schulze-Bonhage. Sensors 2022, 22 (9), 3318 https://doi.org/10.3390/s22093318

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, Nicholas Cummins, Srinivasan Vairavan, Rebecca Bendayan, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Heet Sankesara, Faith Matcham, Katie M White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Elisabet Vilella, Sara Simblett, Aki Rintala, Stuart Bruce, David C Mohr, Inez Myin-Germeys, Til Wykes 13, Josep Maria Haro, Brenda WJH Penninx, Vaibhav A Narayan, Peter Annas, Matthew Hotopf, Richard JB Dobson, RADAR-CNS consortium JMIR Mental Health Vol 9, No 3 JMIR Mental Health - Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

Faith Matcham, Daniel Leightley, Sara Siddi, Femke Lamers, Katie M. White, Peter Annas, Giovanni de Girolamo, Sonia Difrancesco, Josep Maria Haro, Melany Horsfall, Alina Ivan, Grace Lavelle, Qingqin Li, Federica Lombardini, David C. Mohr, Vaibhav A. Narayan, Carolin Oetzmann, Brenda W. J. H. Penninx, Stuart Bruce, Raluca Nica, Sara K. Simblett, Til Wykes, Jens Christian Brasen, Inez Myin-Germeys, Aki Rintala, Pauline Conde, Richard J. B. Dobson, Amos A. Folarin, Callum Stewart, Yatharth Ranjan, Zulqarnain Rashid, Nick Cummins, Nikolay V. Manyakov, Srinivasan Vairavan & Matthew Hotopf BMC Psychiatry 22, 136 (2022). https://doi.org/10.1186/s12888-022-03753-1

The Association Between Home Stay and Symptom Severity in Major Depressive Disorder: Preliminary Findings From a Multicenter Observational Study Using Geolocation Data From Smartphones

Laiou P, Kaliukhovich DA, Folarin AA, Ranjan Y, Rashid Z, Conde P, Stewart C, Sun S, Zhang Y, Matcham F, Ivan A, Lavelle G, Siddi S, Lamers F, Penninx BW, Haro JM, Annas P, Cummins N, Vairavan S, Manyakov NV, Narayan VA, Dobson RJ, Hotopf M, and the RADAR-CNS Consortium, JMIR Mhealth Uhealth 2022;10(1):e28095, (28 January 2022) doi: 10.2196/28095 https://mhealth.jmir.org/2022/1/e28095

2021

Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Böttcher S, Bruno E, Manyakov NV, Epitashvili N, Claes K, Glasstetter M, Thorpe S, Lees S, Dümpelmann M, Van Laerhoven K, Richardson MP, Schulze-Bonhage A, The RADAR-CNS Consortium. JMIR Mhealth Uhealth 2021;9(11):e27674. doi: 10.2196/27674

October 2021

The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey

Andrews, J.A., Craven, M.P., Lang, A.R. et al. BMC Med Inform Decis Mak 21, 282 (2021). https://doi.org/10.1186/s12911-021-01640-5

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Amos A Folarin, Richard JB Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Björn Schuller, RADAR-CNS Consortium. Pattern Recognition, Volume 123, 2022,1 doi:
https://doi.org/10.1016/j.patcog.2021.108403

September 2021

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

Daniel Leightley, Grace Lavelle, Katie M. White, Shaoxiong Sun, Faith Matcham, Alina Ivan, Carolin Oetzmann, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Mario Haro, Inez Myin-Germeys, Stuart Bruce, Raluca Nica, Alice Wickersham, Peter Annas, David C. Mohr, Sara Simblett, Til Wykes, Nicholas Cummins, Amos Akinola Folarin, Pauline Conde, Yatharth Ranjan, Richard J. B. Dobson, Viabhav A. Narayan & Mathew Hotopf On behalf of the RADAR-CNS Consortium. BMC Psychiatry 21, 435 (2021). https://doi.org/10.1186/s12888-021-03434-5

August 2021

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder

Dineley, J., Lavelle, G., Leightley, D., Matcham, F., Siddi, S., Peñarrubia-María, M.T., White, K.M., Ivan, A., Oetzmann, C., Simblett, S., Dawe-Lane, E., Bruce, S., Stahl, D., Ranjan, Y., Rashid, Z., Conde, P., Folarin, A.A., Haro, J.M., Wykes, T., Dobson, R.J.B., Narayan, V.A., Hotopf, M., Schuller, B.W., Cummins, N., The RADAR-CNS Consortium. (2021) Proc. Interspeech 2021, 631-635, doi: 10.21437/Interspeech.2021-1240

July 2021

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Zhang Y, Folarin AA, Sun S, Cummins N, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, Oetzmann C, Lamers F, Siddi S, Simblett S, Rintala A, Mohr DC, Myin-Germeys I, Wykes T, Haro JM, Penninx BWJH, Narayan VA, Annas P, Hotopf M, Dobson RJB, RADAR-CNS Consortium. JMIR Mhealth Uhealth 2021;9(7):e29840. DOI: 10.2196/29840

April 2021

Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study

Zhang Y, Folarin A, Sun S, Cummins N, Bendayan R, Ranjan Y, Rashid Z, Conde P, Stewart C, Laiou P, Matcham F, White K, Lamers F, Siddi S, Simblett S, Myin-Germeys I, Rintala A, Wykes T, Haro J, Penninx B, Narayan V, Hotopf M, Dobson R, on behalf of the RADAR-CNS Consortium, JMIR Mhealth Uhealth 2021;9(4):e24604 (12 April 2021), DOI: 10.2196/24604

March 2021

Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures

Elisa Bruno; Andrea Biondi; Mark P.Richardson on behalf of the RADAR-CNS Consortium, Seizure, (17 March 2021) DOI: https://doi.org/10.1016/j.seizure.2021.03.013

December 2020

Remote Assessment of Disease and Relapse in Epilepsy: Protocol for a Multicenter Prospective Cohort Study

Elisa Bruno; Andrea Biondi; Sebastian Böttcher; Gergely Vértes; Richard Dobson; Amos Folarin; Yatharth Ranjan; Zulqarnain Rashid; Nikolay Manyakov; Aki Rintala; Inez Myin-Germeys; Sara Simblett; Til Wykes; Amanda Stoneman; Ann Little; Sarah Thorpe; Simon Lees; Andreas Schulze-Bonhage; Mark Richardson on behalf of the RADAR-CNS Consortium, JMIR Research Protocols, (16 December 2020) DOI: 10.2196/21840

November 2020

Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study

Craven MP, Andrews JA, Lang AR, Simblett SK, Bruce S, Thorpe S, Wykes T, Morriss R, Hollis C, The RADAR-CNS Consortium; JMIR Form Res 2020;4(11):e22756 DOI: 10.2196/22756

September 2020

Day and night comfort and stability on the body of four wearable devices for seizure detection: A direct user-experience

Elisa Bruno; Andrea Biondi; Sebastian Böttcher; Andreas Schulze-Bonhage; Mark P. Richardson; on behalf of the RADAR-CNS Consortium, Epilepsy & Behavior, (September 26 2020) DOI: https://doi.org/10.1016/j.yebeh.2020.107478

Using Smartphones and Wearable Devices to Monitor Behavioral Changes During COVID-19

Shaoxiong Sun; Amos A Folarin; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Nicholas Cummins; Faith Matcham; Gloria Dalla Costa; Sara Simblett; Letizia Leocani; Femke Lamers; Per Soelberg Sørensen; Mathias Buron; Ana Zabalza; Ana Isabel Guerrero Pérez; Brenda WJH Penninx; Sara Siddi; Josep Maria Haro; Inez Myin-Germeys; Aki Rintala; Til Wykes; Vaibhav A Narayan; Giancarlo Comi; Matthew Hotopf; Richard JB Dobson; RADAR-CNS Consortium, JMIR Theme Issue 2020: COVID-19 Special Issue (September 2020) DOI: 10.2196/19992

August 2020

Patients self-mastery of wearable devices for seizure detection: A direct user-experience

Elisa Bruno, Andrea Biondi, S.Thorpe, Mark P Richardson on behalf of the RADAR-CNS Consortium, Seizure, (23 August 2020) DOI: https://doi.org/10.1016/j.seizure.2020.08.023

July 2020

Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study

J. Andrews, M. Craven, J. Jamnadas-Khoda, A. Lang, R. Morriss, C. Hollis, the RADAR-CNS Consortium, Journal of Medical Internet Research, Vol 22, No 7 (2020): July, DOI: 10.2196/17414

Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study

Gloria Dalla Costa, Letizia Leocani, Xavier Montalban, Ana Isabel Guerrero, Per Soelberg Sørensen, Melinda Magyari, Richard J. B. Dobson, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi & on behalf of the RADAR-CNS consortium, Neurological Sciences (2 July 2020) DOI: https://link.springer.com/article/10.1007/s10072-020-04519-x

May 2020

Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study

Polhemus AM, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf MF, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov NV, Narayan VA, Hotopf M
JMIR Mhealth Uhealth 2020;8(5):e16043, DOI: 10.2196/16043

Post‐ictal accelerometer silence as a marker of post‐ictal immobility

Elisa Bruno, Sebastian Böttcher, Andrea Biondi, Nino Epitashvili, Nikolay V. Manyakov, Simon Lees, Andreas Schulze‐Bonhage, Mark P. Richardson on behalf of the RADAR-CNS Consortium
Wiley Online Library, 27 May 2020, DOI: https://doi.org/10.1111/epi.16552

April 2020

The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature

Giovanni de Girolamo, Chiara Barattieri di San Pietro, Viola Bulgari, Jessica Dagani, Clarissa Ferrari, Matthew Hotopf, Giuseppe Iannone, Ambra Macis, Faith Matcham, Inez Myin‐Germeys, Aki Rintala, Sara Simblett, Til Wykes, Cristina Zarbo
Wiley Online Library, 27 April 2020, DOI: https://doi.org/10.1002/da.23023

January 2020

Patient's experience of wearing multimodal sensor devices intended to detect epileptic seizures: A qualitative analysis

S. Simblett, A. Biondi, E. Bruno, D. Ballard, A. Stoneman, S. Lees, M. P. Richardson, T. Wykes, for the RADAR-CNS Consortium
Epilepsy & Behaviour, Volume 102, January 2020, DOI: 10.1016/j.yebeh.2019.106717

News

Pioneering dance performance explores 'living well with technology' at King's Chapel

Strand Campus played host to a dance performance with a difference in 'Feedback Loops' on 18 January.

Feedback Loops performance in the King’s Chapel, dancer Anna Spink

How can speech recorded with smartphones help monitor depression?

Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

speech recording RADAR

Landmark project uses smartphones and wearables to manage depression, multiple sclerosis and epilepsy

The RADAR-CNS project has collected data from smartphones and wearables to assess how remote measurement technology could help manage depression, multiple...

RADAR-CNS smartphone wearables

Spending more time at home is linked to more severe symptoms in people with depression

Researchers from the RADAR-CNS project have used data from smartphones and wearables to investigate the association between time spent at home and the...

More than one in three young adults report symptoms of ‘smartphone addiction’, regardless of length of daily use