An IoT-based interoperable architecture for wireless biomonitoring of patients with sensor patches

被引:26
作者
Fama, Fernanda [1 ]
Faria, Jose N. [1 ]
Portugal, David [1 ]
机构
[1] Univ Coimbra, Inst Syst & Robot, Coimbra, Portugal
基金
美国安德鲁·梅隆基金会;
关键词
Internet of Things; Digital healthcare; Wireless patient biomonitoring; System architecture; Interoperability; HEALTH-CARE; BIG DATA; INTERNET; TECHNOLOGIES; THINGS; PROTOCOL; 6LOWPAN; SYSTEM; WSN;
D O I
10.1016/j.iot.2022.100547
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The alliance between the Internet of Things (IoT) and healthcare has the potential to improve healthcare assistance at different stages of care through distributed vital sign sensing, paving the way for domiciliary hospitalization. In this work, we propose an innovative design for an IoT-based interoperable healthcare system to wirelessly monitor and classify patient status. To support our research, we identify gaps, and discuss standards, protocols and technologies based on works that use relevant IoT applications in healthcare. The proposed architecture is centered on several low-energy unobtrusive sensors attached to the patients' bodies, as well as their beds, which encompass data acquisition nodes linked to a smart gateway that aggregates data. The smart gateway is integrated with an existing hospital information system through the exchange of Electronic Health Records (EHR), making relevant patient data easily available to health professionals on systems which are familiar to them. A use case scenario is presented in order to fulfill functional and non-functional requirements and provide a better understanding of connection and communication between the distinct entities of the proposed architecture, which is based on Bluetooth Low Energy (BLE) technology at the data acquisition level, the Message Queuing Telemetry Transport (MQTT) protocol at the internal level, and on the Fast Healthcare Interoperability Resources (FHIR) standard at the higher level.
引用
收藏
页数:23
相关论文
共 88 条
[41]   A study on medical Internet of Things and Big Data in personalized healthcare system [J].
Jagadeeswari V. ;
Subramaniyaswamy V. ;
Logesh R. ;
Vijayakumar V. .
Health Information Science and Systems, 6 (1)
[42]  
Joyia G.J., 2017, J Commun, V12, P240, DOI [DOI 10.12720/JCM.12.4.240, 10.12720/jcm.12.4.240-247, DOI 10.12720/JCM.12.4.240-247]
[43]   An Overview of Patient's Health Status Monitoring System Based on Internet of Things (IoT) [J].
Kadhim, Kadhim Takleef ;
Alsahlany, Ali M. ;
Wadi, Salim Muhsin ;
Kadhum, Hussein T. .
WIRELESS PERSONAL COMMUNICATIONS, 2020, 114 (03) :2235-2262
[44]  
Karthick G S., 2020, SN Comput. Sci, V1, P198, DOI DOI 10.1007/S42979-020-00205-Z
[45]   Internet of Things (IoT), Applications and Challenges: A Comprehensive Review [J].
Khanna, Abhishek ;
Kaur, Sanmeet .
WIRELESS PERSONAL COMMUNICATIONS, 2020, 114 (02) :1687-1762
[46]   Improving the Use of Big Data Analytics within Electronic Health Records: A Case Study based OpenEHR [J].
Khennou, Fadoua ;
Khamlichi, Youness Idrissi ;
Chaoui, Nour El Houda .
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2017), 2018, 127 :60-68
[47]  
Lahtela A, 2008, 2008 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE, P229, DOI 10.1109/PCTHEALTH.2008.4571079
[48]  
Lehtonen Mikko., 2008, Networked RFID Systems and Lightweight Cryptography, P169
[49]   Development of an openEHR Template for COVID-19 Based on Clinical Guidelines [J].
Li, Mengyang ;
Leslie, Heather ;
Qi, Bin ;
Nan, Shan ;
Feng, Hongshuo ;
Cai, Hailing ;
Lu, Xudong ;
Duan, Huilong .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (06)
[50]   An architecture and protocol for smart continuous eHealth monitoring using 5G [J].
Lloret, Jaime ;
Parra, Lorena ;
Taha, Miran ;
Tomas, Jesus .
COMPUTER NETWORKS, 2017, 129 :340-351