Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare

doi:10.1109/TSMC.2016.2586075

	Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
	Yang, Po 1; Stankevicius, Dainius 2; Marozas, Vaidotas 2; Deng, Zhikun 3; Liu, Enjie 3; Lukosevicius, Arunas 2; Dong, Feng 3; Xu, Lida 4,5; Min, Geyong 6
	2018
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
卷号	48 期号:1 页码:50-64
摘要	Internet of Things (IoT) technology offers opportunities to monitor lifelogging data by a variety of assets, like wearable sensors, mobile apps, etc. But due to heterogeneity of connected devices and diverse human life patterns in an IoT environment, lifelogging personal data contains huge uncertainty and are hardly used for healthcare studies. Effective validation of lifelogging personal data for longitudinal health assessment is demanded. In this paper, lifelogging physical activity (LPA) is taken as a target to explore how to improve the validity of lifelogging data in an IoT enabled healthcare system. A rule-based adaptive LPA validation (LPAV) model, LPAV-IoT, is proposed for eliminating irregular uncertainties (IUs) and estimating data reliability in IoT healthcare environments. A methodology specifying four layers and three modules in LPAV-IoT is presented for analyzing key factors impacting validity of LPA. A series of validation rules are designed with uncertainty threshold parameters and reliability indicators and evaluated through experimental investigations. Following LPAV-IoT, a case study on a personalized healthcare platform myhealthavatar connecting three state-of-the-art wearable devices and mobile apps are carried out. The results reflect that the rules provided by LPAV-IoT enable efficiently filtering at least 75% of IU and adaptively indicating the reliability of LPA data on certain condition of IoT environments.
关键词	Data validation Internet of Things (IoT) personalized healthcare physical activity
DOI	10.1109/TSMC.2016.2586075
收录类别	SCI
语种	英语
资助项目	CARRE Project[611140] ; MyLifeHub Project[EP/L023830/1] ; iManageCancer: Empowering Patients and Strengthening Self-Management in Cancer Diseases Project from the European Unionapos;s Horizon Research and Innovation Programme[643529] ; MHA Project[600929]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000418290500005
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：96[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5531
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yang, Po
作者单位	1.Liverpool John Moores Univ, Sch Comp Sci, Liverpool L3 3AF, Merseyside, England 2.Kaunas Univ Technol, Dept Elect, LT-44249 Kaunas, Lithuania 3.Bedfordshire Univ, Ctr Comp Graph & Visulisat, Luton LU1 3JU, Beds, England 4.Old Dominion Univ, Norfolk, VA 23529 USA 5.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 6.Exeter Univ, Dept Math & Comp Sci, Exeter EX4 4QF, Devon, England
推荐引用方式 GB/T 7714	Yang, Po,Stankevicius, Dainius,Marozas, Vaidotas,et al. Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2018,48(1):50-64.
APA	Yang, Po.,Stankevicius, Dainius.,Marozas, Vaidotas.,Deng, Zhikun.,Liu, Enjie.,...&Min, Geyong.(2018).Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,48(1),50-64.
MLA	Yang, Po,et al."Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 48.1(2018):50-64.