IoT-Enabled Wearable Prototype: Detecting Signs of Depression-Reference-Cited by-同舟云学术

IoT-Enabled Wearable Prototype: Detecting Signs of Depression

Published:2023-12-11 Issue: Volume: Page:78-84
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics
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Author:

Thulasi K¹^ORCID,Balakrishnan Sumathi²^ORCID,Yue Lu²^ORCID,Monpreeyadee Rattana²^ORCID,Fatima Syeda Rahmathunnisa²^ORCID,Bin Rosli Mohammad Izhar Shafiq²^ORCID,Wei Giok Qi²^ORCID,Malarvili MB¹^ORCID

Affiliation:

1. Bio-signal Processing Research Group (BSPRG)/Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Malaysia

2. School of Computer Science, Taylor's University, Malaysia

Funder

Universiti Teknologi Malaysia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638569.3638580

Reference27 articles.

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2. Economic Burden of Anxiety Disorders: A Systematic Review and Meta-Analysis

3. Risk factors for suicide in individuals with depression: A systematic review

4. Oleguer Plana-Ripoll Carsten Bøcker Pedersen Esben Agerbo Yan Holtz Annette Erlangsen Vladimir Canudas-Romo Per Kragh Andersen A comprehensive analysis of mortality-related health metrics associated with mental disorders: a nationwide register- based cohort study. The Lancet 394 10211 (Oct 2019) 1827–1835. doi: https://doi.org/10.1016/S0140-6736(19)32316-5

5. Joseph S Alipio, Maria Claire Bautista, Gold Mendoza, Roison Andro Narvaez, Marieta Sudaypan, and Ralph Antonio Peco. (2022). Impact of Wearable Devices in Mental Health and Quality of Life. Canadian Journal of Nursing Informatics 17 (Dec 2022), 3-4. https://tinyurl.com/2ghmx8l2