Publication Type
Conference Paper
Version
submittedVersion
Publication Date
8-2017
Abstract
The aging population is a pertinent issue faced by governments globally. One of the most common and costly health issues associated with the aging population is cognitive decline, leading up to dementia. In this paper, we describe a non-intrusive, continuous and scalable system for early detection of Mild Cognitive Impairment (MCI) in the elderly, which enables early medical interventions to be provided. We focus on the system design and feature extraction of the sensor system, to validate our hypothesis of the use of sensor systems for early detection of MCI. Lessons learned from deploying the sensor system is presented, together with the solutions that are implemented to improve system reliability
Keywords
sensor systems, mild cognitive impairment, early detection of MCI, continuous system monitoring, system reliability
Discipline
Gerontology | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IRC Conference on Science Engineering Technology 2017, August 10-11
Publisher
University of Bath, School of Management
City or Country
Singapore
Citation
NG, Boon Thai; TAN, Hwee-Pink; and TAN, Hwee Xian.
Managing sensor systems for early detection of mild cognitive impairment in community elderly: Lessons learned and future work. (2017). IRC Conference on Science Engineering Technology 2017, August 10-11.
Available at: https://ink.library.smu.edu.sg/sis_research/4139
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.