Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

被引:83
作者
Santos, Marcus A. G. [1 ]
Munoz, Roberto [2 ,3 ]
Olivares, Rodrigo [4 ]
Reboucas Filho, Pedro P. [5 ]
Del Ser, Javier [6 ,7 ,8 ]
de Albuquerque, Victor Hugo C. [1 ]
机构
[1] Univ Fortaleza, Fortaleza, CE, Brazil
[2] Univ Valparaiso, Sch Informat Engn, Valparaiso, Chile
[3] Univ Valparaiso, Ctr Invest & Desarrollo Ingn Salud, Valparaiso, Chile
[4] Pontificia Univ Catolica Valparaiso, Valparaiso 2362807, Chile
[5] Fed Inst Educ Sci & Technol Ceara, Fortaleza, CE, Brazil
[6] TECNALIA, Donostia San Sebastian, Spain
[7] Univ Basque Country, Dept Commun Engn, Bilbao, Spain
[8] Basque Ctr Appl Math, Bilbao, Bizkaia, Spain
关键词
Internet of health things; Heart; Bio sensors; Online monitoring; Reference model; SIGNAL QUALITY; DATA FUSION; LOW-POWER; ECG; SENSOR; DESIGN; FRAMEWORK; MEDICINE; CLOUD;
D O I
10.1016/j.inffus.2019.06.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Internet of Health Things promotes personalized and higher standards of care. Its application is diverse and attracts the attention of a substantial section of the scientific community. This approach has also been applied by people looking to enhance quality of life by using this technology. In this paper, we perform a survey that aims to present and analyze the advances of the latest studies based on medical care and assisted environment. We focus on articles for online monitoring, detection, and support of the diagnosis of cardiovascular diseases. Our research covers published manuscripts in scientific journals and recognized conferences since the year 2015. Also, we present a reference model based on the evaluation of the resources used from the selected studies. Finally, our proposal aims to help future enthusiasts to discover and enumerate the required factors for the development of a prototype for online heart monitoring purposes.
引用
收藏
页码:222 / 239
页数:18
相关论文
共 144 条
[81]  
Krachunov S., 2017, P I EL EL ENG INC, P1, DOI [10.1109/GIOTS.2017.8016260, DOI 10.1109/GIOTS.2017.8016260]
[82]   RETRACTED: Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things (Retracted Article) [J].
Kumar, Priyan Malarvizhi ;
Gandhi, Ushadevi ;
Varatharajan, R. ;
Manogaran, Gunasekaran ;
Jidhesh, R. ;
Vadivel, Thanjai .
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4) :S7733-S7744
[83]   The IoT-based heart disease monitoring system for pervasive healthcare service [J].
Li, Chao ;
Hu, Xiangpei ;
Zhang, Lili .
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS, 2017, 112 :2328-2334
[84]   Integrating Blockchain for Data Sharing and Collaboration in Mobile Healthcare Applications [J].
Liang, Xueping ;
Zhao, Juan ;
Shetty, Sachin ;
Liu, Jihong ;
Li, Danyi .
2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2017,
[85]  
Lin YJ, 2019, IEEE INT SYMP CIRC S
[86]   Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System [J].
Liu, Chengyu ;
Zhang, Xiangyu ;
Zhao, Lina ;
Liu, Feifei ;
Chen, Xingwen ;
Yao, Yingjia ;
Li, Jianqing .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) :1363-1374
[87]   Enabling Technologies on Cloud of Things for smart Healthcare [J].
Mahmoud, Mukhtar M. E. ;
Rodrigues, Joel J. P. C. ;
Ahmed, Syed Hassan ;
Shah, Sayed Chhattan ;
Al-Muhtadi, Jalal F. ;
Korotaev, Valery V. ;
De Albuquerque, Victor Hugo C. .
IEEE ACCESS, 2018, 6 :31950-31967
[88]  
Manyika J., 2015, MCKINSEY GLOBAL I
[89]   On the Integration of Wearable Sensors in IoT Enabled mHealth and Quantified-self Applications [J].
Menychtas, Andreas ;
Papadimatos, Dennis ;
Tsanakas, Panayiotis ;
Maglogiannis, Ilias .
INTERACTIVE MOBILE COMMUNICATION TECHNOLOGIES AND LEARNING, 2018, 725 :77-88
[90]   A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone [J].
Miao, Fen ;
Cheng, Yayu ;
He, Yi ;
He, Qingyun ;
Li, Ye .
SENSORS, 2015, 15 (05) :11465-11484