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
[51]  
Constant N, 2015, 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN)
[52]   A Reference Model for Internet of Things Middleware [J].
da Cruz, Mauro A. A. ;
Rodrigues, Joel Jose P. C. ;
Al-Muhtadi, Jalal ;
Korotaev, Valery V. ;
de Albuquerque, Victor Hugo C. .
IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (02) :871-883
[53]   Hierarchical data fusion for Smart Healthcare [J].
Dautov, Rustem ;
Distefano, Salvatore ;
Buyya, Rajkumaar .
JOURNAL OF BIG DATA, 2019, 6 (01)
[54]   Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG [J].
Devi, R. Lakshmi ;
Kalaivani, V. .
JOURNAL OF SUPERCOMPUTING, 2020, 76 (09) :6533-6544
[55]   Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0 [J].
Diez-Olivan, Alberto ;
Del Ser, Javier ;
Galar, Diego ;
Sierra, Basilio .
INFORMATION FUSION, 2019, 50 :92-111
[56]   Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies [J].
Dueking, Peter ;
Hotho, Andreas ;
Holmberg, Hans-Christer ;
Fuss, Franz Konstantin ;
Sperlich, Billy .
FRONTIERS IN PHYSIOLOGY, 2016, 7
[57]   ECG-based pulse detection during cardiac arrest using random forest classifier [J].
Elola, Andoni ;
Aramendi, Elisabete ;
Irusta, Unai ;
Del Ser, Javier ;
Alonso, Erik ;
Daya, Mohamud .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2019, 57 (02) :453-462
[58]   A Wireless Early Prediction System of Cardiac Arrest through IoT [J].
ElSaadany, Yosuf ;
Majumder, A. K. M. Jahangir A. ;
Ucci, Donald R. .
2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2017, :690-695
[59]   Event-based sensor data exchange and fusion in the Internet of Things environments [J].
Esposito, Christian ;
Castiglione, Aniello ;
Palmieri, Francesco ;
Ficco, Massimo ;
Dobre, Ciprian ;
Iordache, George V. ;
Pop, Florin .
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2018, 118 :328-343
[60]  
Fang B, 2017, INT CONF MEAS, P385, DOI [10.1109/ICMTMA.2017.0100, 10.1109/ICMTMA.2017.99]