R
Ren-Guey Lee
Researcher at National Taipei University of Technology
Publications - 67
Citations - 1720
Ren-Guey Lee is an academic researcher from National Taipei University of Technology. The author has contributed to research in topics: Wireless sensor network & Residential gateway. The author has an hindex of 19, co-authored 62 publications receiving 1598 citations. Previous affiliations of Ren-Guey Lee include National Taiwan University.
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Journal ArticleDOI
Wireless Health Care Service System for Elderly With Dementia
TL;DR: The purpose of this paper is to integrate the technologies of radio frequency identification, global positioning system, global system for mobile communications, and geographic information system to construct a stray prevention system for elderly persons suffering from dementia without interfering with their activities of daily livings.
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A Mobile Care System With Alert Mechanism
TL;DR: It is concluded that it is possible to set up a complete intelligent health care chain with mobile monitoring and healthcare service via the assistance of the proposed role-based intelligent mobile care system with alert mechanism in chronic care environment.
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A Healthcare Integration System for Disease Assessment and Safety Monitoring of Dementia Patients
TL;DR: An eXtensible-Markup-Language-based dementia assessment system combining program code and assessment content is used to provide caregivers with better flexibility and real-time response ability and found that irritable patients with strong mobility were less compliant and often removed their own tags.
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Real-time ECG telemonitoring system design with mobile phone platform
TL;DR: An ECG (electrocardiogram) telemonitoring system based on a mobile phone platform that transmits abnormal heartbeats in real time by using MMS on GPRS, and develops a real-time ECG classification algorithm that can be executed by the dual-core processor in the Holter.
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An automatic analysis method for detecting and eliminating ECG artifacts in EEG
TL;DR: The concepts for selecting a suitable wavelet basis and scales used in the process are developed and the analysis via the selected basis is without suffering time shift for decomposition and detection/elimination procedures after wavelet transformation.