WEE LEE

WEE LEE


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 July 2015 in Neural Computing and Applications
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Journal Article
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ANAmin Noshadi
Amin Noshadi
JSJuan Shi
Juan Shi
WLWEE LEE
WEE LEE
PSPeng Shi
Peng Shi
Akhtar KalamAkhtar Kalam
Akhtar Kalam

11 August 2017 in IEEE Reviews in Biomedical Engineering
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Journal Article
Closed access
RLRui Li
Rui Li
DLDaniel Lai
Daniel Lai
WLWEE LEE
WEE LEE
Wireless Body Area Networks (WBAN) has attained increasing popularity as the next generation framework of wearable technologies for human monitoring. Invasive or non-invasive wearable sensors designed in WBAN are worn to gather vital information. Biofeedback is a recent concept where collected data is used to generate actuation signals in WBANs. Applications can be seen in various areas such as sports (e.g. locomotor velocity) or medical (e.g. blood pressure measurement). However, since the body is closely regulated, the next generation WBAN technology must be smart enough to react to monitored data. The main aim of the paper is to review the current state of biofeedback and actuation technology on WBANs in terms of its structure, applications, benefits, and control approaches. The emphasis on the specific requirements when applying biofeedback to humans will be highlighted and discussed. Challenges and open research issues will be concluded at the end.