Characterization of depressive States in bipolar patients using wearable textile technology and instantaneous heart rate variability assessment.
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1094
- Type
- D - Journal article
- DOI
-
10.1109/jbhi.2014.2307584
- Title of journal
- IEEE Journal of Biomedical and Health Informatics
- Article number
- 1
- First page
- 263
- Volume
- 19
- Issue
- 1
- ISSN
- 2168-2208
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
B - Brain Computer Interfaces and Neural Engineering (BCI-NE)
- Citation count
- 37
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This highly-cited paper introduces a novel system for mood assessment in bipolar patients based on instantaneous non-linear HRV analysis. Significantly, whilst it initially focussed on bipolar patients, the robustly tested approach was later integrated into a real-time decision-support-system (DSS) which predicted onset/severity and aided self help in patients at risk of secondary depression. Such tools are vital to quality care where secondary depression is VERY likely to occur. In addition to the rigorous statistical analysis detailed in the paper, follow on work (http://www.nevermindproject.eu, a £5M H2020 project) is evaluating the DSS based in a ~300 patient trial.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -