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RADAR-base: Major Depressive Disorder and Epilepsy Case Studies

Stewart, CL; Rashid, Z; Ranjan, Y; Sun, S; Dobson, RJB; Folarin, AA; (2018) RADAR-base: Major Depressive Disorder and Epilepsy Case Studies. In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. (pp. pp. 1735-1743). ACM Green open access

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Abstract

Emerging mobile health (mHealth) and eHealth technology could provide opportunities for remote monitoring and interventions for people with mental health and neurological disorders. RADAR-base is a modern mHealth data collection platform built around Confluent and Apache Kafka. Here we report progress on studies into two brain disorders: major depressive disorder and epilepsy. For depression an ambulatory study is being conducted with patients recruited to three sites and for epilepsy an in-hospital study is being carried out at two sites. Initial results show smartphones and wearable devices have potential to improve care for patients with depression and epilepsy.

Type: Proceedings paper
Title: RADAR-base: Major Depressive Disorder and Epilepsy Case Studies
Event: The 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Location: Singapore, Singapore
Dates: 8th-12th October 2018
ISBN-13: 978-1-4503-5966-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3267305.3267540
Publisher version: https://doi.org/10.1145/3267305.3267540
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: mHealth; mobile context sensing; wearable sensors; data collection platform; mental health
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10087381
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