radar-base@kcl.ac.uk, radar-base@thehyve.nl KCL +44 (0)20 7848 0924; The Hyve +31 (0)61 169 6842

2021

Digital semiology and time-evolution pattern of bio-signals in focal onset motor seizures 10.1016/j.seizure.2021.03.013

Home stay reflects symptoms severity in major depressive disorder: A multicenter observational study using geolocation data from smartphones 10.1101/2021.02.10.21251512

Remote digital monitoring for medical product development 10.1111/cts.12851

Experimental characterisation of textile compaction response: A benchmark exercise 10.1016/j.compositesa.2020.106243

JTrack: A Digital Biomarker Platform for Remote Monitoring in Neurological and Psychiatric Diseases

2020

Remote digital monitoring for medical product development 10.1111/cts.12851

Implementing Remote Memory Clinics to Enhance Clinical Care During and After COVID-19 10.3389/fpsyt.2020.579934

Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study 10.1007/s10072-020-04519-x

Recommendations for the MIP Technical Development During SGA3

Patients self-mastery of wearable devices for seizure detection: A direct user-experience 10.1016/j.seizure.2020.08.023

Using smartphones and wearable devices to monitor behavioural changes during COVID 19 10.2196/19992

Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study 10.2196/17414

Learning to self-manage by intelligent monitoring, prediction and intervention.

Making Wearable Technology Available for Mental Healthcare through an Online Platform with Stress Detection Algorithms: The Carewear Project 10.1155/2020/8846077

In-depth assessment of potential new data integration into the MIP

The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study https://arxiv.org/abs/2009.12983

Day and night comfort and stability on the body of four wearable devices for seizure detection: A direct user-experience 10.1016/j.yebeh.2020.107478

2019

Using multimodal biosignal data from wearables to detect focal motor seizures in individual epilepsy patients
10.1145/3361684.3361687

Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities
10.1016/B978-0-12-815369-7


Challenges and solutions in a hybrid mHealth mobile application
10.1145/3341162.3343778

Digital Health Sensing for Personalized Dermatology
10.3390/s19153426

2018

RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices
10.2196/11734

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): A multi-centre prospective cohort study protocol
10.1186/s12888-019-2049-z

RADAR-base: Major Depressive Disorder and Epilepsy Case Studies
10.1145/3267305.3267540

RADAR-base: Epilepsy Case Study
10.1145/3267305.3267578

RADAR-base: A Novel Open Source m-Health Platform
10.1145/3267305.3267579

Cite RADAR-base: RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices.
Ranjan Y, Rashid Z, Stewart C, Begale M, Verbeeck D, Boettcher S, Dobson R, Folarin A, The Hyve, RADAR-CNS Consortium. URL: https://mhealth.jmir.org/2019/8/e11734/ DOI: 10.2196/11734 PMID: 31373275