Application of artificial intelligence in wearable devices: Opportunities and challenges
Article
Article Title | Application of artificial intelligence in wearable devices: Opportunities and challenges |
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ERA Journal ID | 5039 |
Article Category | Article |
Authors | Nahavandi, Darius, Alizadehsani, Roohallah, Khosravi, Abbas and Acharya, U. Rajendra |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 213 |
Article Number | 106541 |
Number of Pages | 19 |
Year | 2022 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2021.106541 |
Web Address (URL) | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120940769&doi=10.1016%2fj.cmpb.2021.106541&partnerID=40&md5=0f54c479451d0abb02c0476b29105fe3 |
Abstract | Background and objectives Methods Results Conclusion |
Keywords | Deep learning; Healthcare; Machine learning; Internet of things; Wearable devices |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Deakin University |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore | |
Asia University, Taiwan |
https://research.usq.edu.au/item/z1vyv/application-of-artificial-intelligence-in-wearable-devices-opportunities-and-challenges
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