Advanced internet of things for personalised healthcare systems: A survey

被引:223
作者
Qi, Jun [1 ]
Yang, Po [1 ]
Min, Geyong [2 ]
Amft, Oliver [3 ]
Dong, Feng [4 ]
Xu, Lida [5 ]
机构
[1] Liverpool John Moores Univ, Dept Comp Sci, Liverpool L3 3AF, Merseyside, England
[2] Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England
[3] Univ Passau, Embedded Syst Grp, Innstr 43, D-94032 Passau, Germany
[4] Univ Bedfordshire, Dept Comp Sci, Luton LU1 3JU, Beds, England
[5] Old Dominion Univ, Informat Technol & Decis Sci Dept, Norfolk, VA 23529 USA
关键词
Internet of things; Personalised; Healthcare system; Survey; PHYSICAL-ACTIVITY RECOGNITION; DECISION-SUPPORT-SYSTEM; HIDDEN MARKOV-MODELS; TRIAXIAL ACCELEROMETER; BAROMETRIC-PRESSURE; CLINICAL DECISIONS; SENSOR; CLASSIFICATION; NETWORKS; EEG;
D O I
10.1016/j.pmcj.2017.06.018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a new research topic in many academic and industrial disciplines, especially in healthcare. Remarkably, due to the rapid proliferation of wearable devices and smartphone, the Internet of Things enabled technology is evolving healthcare from conventional hub based system to more personalised healthcare systems (PHS). However, empowering the utility of advanced IoT technology in PHS is still significantly challenging in the area considering many issues, like shortage of cost-effective and accurate smart medical sensors, unstandardised IoT system architectures, heterogeneity of connected wearable devices, multi-dimensionality of data generated and high demand for interoperability. In an effect to understand advance of IoT technologies in PHS, this paper will give a systematic review on advanced IoT enabled PHS. It will review the current research of IoT enabled PHS, and key enabling technologies, major IoT enabled applications and successful case studies in healthcare, and finally point out future research trends and challenges. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:132 / 149
页数:18
相关论文
共 159 条
  • [1] Abidi SR, 2007, STUD HEALTH TECHNOL, V129, P845
  • [2] Acampora G, 2013, P IEEE, V101, P2470, DOI 10.1109/JPROC.2013.2262913
  • [3] Alanazi S, 2015, 2015 17TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATION & SERVICES (HEALTHCOM), P205, DOI 10.1109/HealthCom.2015.7454499
  • [4] Alshurafa N., 2013, IEEE J BIOMED HEALTH, P1
  • [5] Altini M., 2014, IEEE J BIOMED HEALTH, V2194, P1
  • [6] [Anonymous], STANFORD CS
  • [7] [Anonymous], 2012, MOB COMPUT APPL SERV
  • [8] [Anonymous], 2005, AAAI
  • [9] [Anonymous], MYHEALTHAVATAR PERSO
  • [10] Sensor Positioning for Activity Recognition Using Wearable Accelerometers
    Atallah, Louis
    Lo, Benny
    King, Rachel
    Yang, Guang-Zhong
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2011, 5 (04) : 320 - 329