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Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare

Po Yang, Dainius Stankevicius, Vaidotas Marozas, Zhikun Deng, Enjie Liu, Arunas Lukosevicius, Feng Dong, Lida Xu, Geyong Min
2018 IEEE Transactions on Systems, Man & Cybernetics. Systems  
Lifelogging Data Validation Model for Internet of Things enabled Personalized Healthcare Article LJMU has developed LJMU Research Online for users to access  ...  Index Terms-Internet of things, physical activity, personalised healthcare, data validation.  ...  Lifelogging Data Validation Model for Internet of Things enabled Personalized Healthcare This paper investigates the problem of effectively validating lifelogging physical activity in a heterogeneous devices  ... 
doi:10.1109/tsmc.2016.2586075 fatcat:jl2mjaivsrblbcjrdgppmosgpy

Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment

Po Yang, Martin Hanneghan, Jun Qi, Zhikun Deng, Feng Dong, Dina Fan
2015 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing  
Recently, the popular use of wearable devices and mobile apps makes the effectively capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible.  ...  Finally, we present an ellipse fitting model based validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment.  ...  IDENTIFICATION OF UNCERTAINTY The Internet of Things (IoT) enabled healthcare system is the theoretical cornerstone of validation of physical activity in an IoT environment, as shown in Fig.2 .  ... 
doi:10.1109/cit/iucc/dasc/picom.2015.341 dblp:conf/IEEEcit/YangHQDDF15 fatcat:35gpycalbndizl5ewooz4tjsuy

Ellipse fitting model for improving the effectiveness of life-logging physical activity measures in an Internet of Things environment

Jun Qi, Po Yang, Martin Hanneghan, Dina Fan, Zhikun Deng, Feng Dong
2016 IET Networks  
The popular use of wearable devices and mobile phones makes the effective capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible.  ...  validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment.  ...  Classification of data uncertainty in IoT healthcare systems In an IoT-enabled healthcare system, lifelogging healthcare data is ultra-diverse, dynamic and multidimensional.  ... 
doi:10.1049/iet-net.2015.0109 fatcat:cu64c72nmzbifdtg6oqxtz2y3i

Uncertainty Investigation for Personalised Lifelogging Physical Activity Intensity Pattern Assessment with Mobile Devices

Jun Qi, Po Yang, Martin Hanneghan, Kieran Latham, Stephen Tang
2017 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)  
Lifelogging physical activity (PA) assessment is crucial to healthcare technologies and studies for the purpose of treatments and interventions of chronic diseases.  ...  Recent advance of mobile devices make lifelogging PA tracking for healthy or unhealthy individuals possible.  ...  Effective validation of these high volume and multi-dimensional lifelogging PA data becomes an extremely difficult task.  ... 
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.134 dblp:conf/ithings/QiYHLT17 fatcat:wst7szvy3bbifkxomfuqfgzr2a

On Curating Multimodal Sensory Data for Health and Wellness Platforms

Muhammad Amin, Oresti Banos, Wajahat Khan, Hafiz Muhammad Bilal, Jinhyuk Gong, Dinh-Mao Bui, Soung Cho, Shujaat Hussain, Taqdir Ali, Usman Akhtar, Tae Chung, Sungyoung Lee
2016 Sensors  
In recent years, the focus of healthcare and wellness technologies has shown a significant shift towards personal vital signs devices.  ...  Data accumulated in their usage does not offer rich contextual information that is adequate for providing a holistic view of a user's lifelog.  ...  In [52] , the authors present the challenges of data accumulation in the Internet of Nano-Things [53] (IoNT) perspective.  ... 
doi:10.3390/s16070980 pmid:27355955 pmcid:PMC4970031 fatcat:iskw2cipjzfyri2rtgvkawogby

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review

Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun Yang
2018 Journal of Biomedical Informatics  
The emergence of the Internet of Things (IoT) enabling technology is transferring PARM studies to open and connected uncontrolled environments by connecting heterogeneous cost-effective wearable devices  ...  The paper goes on to identify some new research trends and challenges of PARM studies in the IoT environments, and discusses some key enabling techniques for tackling them.  ...  and efficiency in practice is that the emergence of Internet of Things (IoT) enabling technology is transferring PARM studies from traditional hubs of healthcare to personalized, open and connected uncontrolled  ... 
doi:10.1016/j.jbi.2018.09.002 fatcat:q3czymzv7vg3nepy2xgtswegn4

Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI [article]

Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani
2021 medRxiv   pre-print
Digital Health-Enabled Community-Centered Care (D-CCC) represents a pioneering vision for the future of community-centered care.  ...  Utilizing an artificial intelligence-enabled closed-loop digital health platform designed for, and with, community health workers, D-CCC enables timely and individualized delivery of interventions by community  ...  The authors would like to also thank Arman Anzanpour for his assistance with the conceptualization and visualization of the figures.  ... 
doi:10.1101/2021.03.03.21252873 fatcat:zjev4pbylfarpmr3s6emdkegri

Big Data Analytics for Medication Management in Diabetes Mellitus

Lidong Wang, Cheryl Ann Alexander
2016 International Journal of Studies in Nursing  
Without proper testing and methods for management of drug data, the disease management would fail.  ...  Big Data Analytics (BDA) provides an excellent basis to examine and manage terabytes of data that comprises drug data and can manage all aspects of drug development.  ...  Lifelogging generates continuous streams of data on a per-person basis, however despite the potential for real-time interactions, most of the applications for lifelogging we have seen to date do not yet  ... 
doi:10.20849/ijsn.v1i1.99 fatcat:roof5auh5fdtfaituf4gvhbm34

Internet of Things Enabled Technologies for Behaviour Analytics in Elderly Person Care: A Survey

Lee Newcombe, Po Yang, Chris Carter, Martin Hanneghan
2017 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)  
Index Terms -Internet of things, healthcare, behaviour analytics I.  ...  For a person suffering with Dementia, the application of sensor technologies can improve the quality of life of the person and also monitor the progress of the disease through behavioural analysis.  ...  Aguiar [14] has designed the application to run as a background task on the smartphone, in order to INTERNET OF THINGS ENABLED TECHNOLOGY FOR ELDERLY PEOPLE CARE Type of Symptoms Sensors Algorithms  ... 
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.133 dblp:conf/ithings/NewcombeYCH17 fatcat:byl56hej2rd5blev7tgqxz254q

Secure Sharing Scheme of Sensitive Data in the Precision Medicine System

Deukhun Kim, Heejin Kim, Jin Kwak
2020 Computers Materials & Continua  
Therefore, it is necessary to develop methods of securely sharing sensitive data for the establishment of a precision medicine system.  ...  , and there is also a concern for privacy, as massive amount of data are collected; hence, ensuring the security of information is essential.  ...  Funding Statement: The authors received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/cmc.2020.010535 fatcat:qv3oj2xsq5gpnnjq5sxffznp4q

Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living

Chelsea Dobbins, Reza Rawassizadeh, Elaheh Momeni
2017 Neurocomputing  
a landscape where internet-enabled devices permit people, processes, data, and things to make networked connections that are more relevant and valuable than ever before.  ...  For instance, smartphones and wearable technologies have enabled us to collect a wide range of personalized data that can be used for selfreflection and thus influence behavioural change.  ...  Acknowledgements The authors would like to thank the editors and anonymous reviewers for their time, effort and very helpful suggestions that have contributed to improving the quality of this paper.  ... 
doi:10.1016/j.neucom.2016.02.088 fatcat:7qm322p465d5xc472bhn2ixyla

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Shah Nazir, Yasir Ali, Naeem Ullah, Iván García-Magariño
2019 Wireless Communications and Mobile Computing  
The impact of Internet of Things has been revolutionized in all fields of life, but its impact on the healthcare system has been significant due to its cutting edge transition.  ...  The role of Internet of Things becomes more dominant when it is supported by the features of mobile computing.  ...  Conflicts of Interest e authors declare that there are no conflicts of interest regarding this paper.  ... 
doi:10.1155/2019/5931315 fatcat:k4qbx44hnzcndoip5wf3uhlrdy

Systems Patientomics: The virtual in-silico patient

D.V. Dimitrov
2014 European Journal of Molecular and Clinical Medicine  
In the long-term, computational physiological models will be refined, linked and validated until they are capable of providing essential predictions to clinicians when healthcare decisions need to be made  ...  respond to fears of misuse of provided data, define solutions for data protection/open innovation).  ...  This movement combines smart devices and the Internet of Things with health monitoring apps to give us a better idea of how to optimize virtually every metric associated with our lifestyle, health, and  ... 
doi:10.1016/j.nhtm.2014.08.002 fatcat:k2ehtzbldrgebl4nu4ijns63uu

Special issue on bio-medical signal processing for smarter mobile healthcare using big data analytics

Gwanggil Jeon, Awais Ahmad, Salvatore Cuomo, Wei Wu
2019 Journal of Ambient Intelligence and Humanized Computing  
Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ...  "Real-Time Data Processing Scheme using Big Data Analytics in Internet of Things based Smart Transportation Environment," authors propose architecture for smart transportation system using Big Data analytics  ...  The objects are connected through the internet, which crafts the terminology of Internet of Things. In the contribution by Babar et al.  ... 
doi:10.1007/s12652-019-01425-9 fatcat:fnhogeep3zby3cgxnq2z5jogye

PDPM: A Patient-Defined Data Privacy Management with Nudge Theory in Decentralized E-Health Environments

Seolah JANG, Sandi RAHMADIKA, Sang Uk SHIN, Kyung-Hyune RHEE
2021 IEICE transactions on information and systems  
In terms of privacy, the e-health system preserves a default privacy option as an initial state for every patient since the patients may frequently customize their medical data over time for several purposes  ...  A private decentralized e-health environment, empowered by blockchain technology, grants authorized healthcare entities to legitimately access the patient's medical data without relying on a centralized  ...  EHR & PHR, insurance & market, and internet-of-things & monitoring.  ... 
doi:10.1587/transinf.2021ngp0015 fatcat:e3nuvgyvdbhgvah75biiuamhku
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