Wearable artificial intelligence biosensor networks
File(s)
Published version
Author(s)
Zhang, Yihan
Hu, Yubing
Jiang, Nan
Yetisen, Ali K
Type
Journal Article
Abstract
The demand for high-quality healthcare and well-being services is remarkably increasing due to the ageing global population and modern lifestyles. Recently, the integration of wearables and artificial intelligence (AI) has attracted extensive academic and technological attention for its powerful high-dimensional data processing of wearable biosensing networks. This work reviews the recent developments in AI-assisted wearable biosensing devices in disease diagnostics and fatigue monitoring demonstrating the trend towards personalised medicine with highly efficient, cost-effective, and accurate point-of-care diagnosis by finding hidden patterns in biosensing data and detecting abnormalities. The reliability of adaptive learning and synthetic data and data privacy still need further investigation to realise personalised medicine in the next decade. Due to the worldwide popularity of smartphones, they have been utilised for sensor readout, wireless data transfer, data processing and storage, result display, and cloud server communication leading to the development of smartphone-based biosensing systems. The recent advances have demonstrated a promising future for the healthcare system because of the increasing data processing power, transfer efficiency and storage capacity and diversifying functionalities.
Date Issued
2023-01-01
Date Acceptance
2022-10-16
Citation
Biosensors and Bioelectronics, 2023, 219
ISSN
0956-5663
Publisher
Elsevier
Journal / Book Title
Biosensors and Bioelectronics
Volume
219
Copyright Statement
© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000879531300004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Artificial intelligence
Biophysics
Biosensor network
Biotechnology & Applied Microbiology
Chemistry
Chemistry, Analytical
Electrochemistry
Life Sciences & Biomedicine
Machine learning
MOUTHGUARD BIOSENSOR
Nanoscience & Nanotechnology
Physical Sciences
Science & Technology
Science & Technology - Other Topics
SENSORS
Smartphone-based readout
STEP
Wearable biosensors
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 114825
Date Publish Online
2022-10-21