Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare
文献类型：期刊论文
| 作者 | Yang, Po2; Stankevicius, Dainius3; Marozas, Vaidotas3; Deng, Zhikun4; Liu, Enjie4; Lukosevicius, Arunas3; Dong, Feng4; Xu, Lida1,5; Min, Geyong6 |
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| 出版日期 | 2018 |
| 卷号 | 48期号:1页码:50-64 |
| 关键词 | Data validation Internet of Things (IoT) personalized healthcare physical activity |
| ISSN号 | 2168-2216 |
| DOI | 10.1109/TSMC.2016.2586075 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000418290500005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/5530]  |
| 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.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Liverpool John Moores Univ, Sch Comp Sci, Liverpool L3 3AF, Merseyside, England 3.Kaunas Univ Technol, Dept Elect, LT-44249 Kaunas, Lithuania 4.Bedfordshire Univ, Ctr Comp Graph & Visulisat, Luton LU1 3JU, Beds, England 5.Old Dominion Univ, Norfolk, VA 23529 USA 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. |
入库方式： OAI收割
来源：计算技术研究所
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