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
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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 |
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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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