Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring

被引:461
作者
Hossain, M. Shamim [1 ]
Muhammad, Ghulam [2 ]
机构
[1] King Saud Univ, Coll Comp & Informat Sci, Software Engn Dept, Riyadh 11543, Saudi Arabia
[2] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Engn, Riyadh 11543, Saudi Arabia
关键词
ECG monitoring; IoT-driven healthcare; Cloud-assisted system; Signal watermarking; Healthcare Industrial Internet of Things (HealthIIoT); CARE;
D O I
10.1016/j.comnet.2016.01.009
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The promising potential of the emerging Internet of Things (IoT) technologies for interconnected medical devices and sensors has played an important role in the next-generation healthcare industry for quality patient care. Because of the increasing number of elderly and disabled people, there is an urgent need for a real-time health monitoring infrastructure for analyzing patients' healthcare data to avoid preventable deaths. Healthcare Industrial IoT (HealthIIoT) has significant potential for the realization of such monitoring. HealthIIoT is a combination of communication technologies, interconnected apps, Things (devices and sensors), and people that would function together as one smart system to monitor, track, and store patients' healthcare information for ongoing care. This paper presents a HealthIIoT-enabled monitoring framework, where ECG and other healthcare data are collected by mobile devices and sensors and securely sent to the cloud for seamless access by healthcare professionals. Signal enhancement, watermarking, and other related analytics will be used to avoid identity theft or clinical error by healthcare professionals. The suitability of this approach has been validated through both experimental evaluation, and simulation by deploying an IoT-driven ECG-based health monitoring service in the cloud. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:192 / 202
页数:11
相关论文
共 32 条
[1]   An optimized watermarking technique based on self-adaptive DE in DWT-SVD transform domain [J].
Ali, Musrrat ;
Ahn, Chang Wook .
SIGNAL PROCESSING, 2014, 94 :545-556
[2]   RFID Technology for IoT-Based Personal Healthcare in Smart Spaces [J].
Amendola, Sara ;
Lodato, Rossella ;
Manzari, Sabina ;
Occhiuzzi, Cecilia ;
Marrocco, Gaetano .
IEEE INTERNET OF THINGS JOURNAL, 2014, 1 (02) :144-152
[3]   Incorrect electrode cable connection during electrocardiographic recording [J].
Batchvarov, Velislav N. ;
Malik, Marek ;
Camm, A. John .
EUROPACE, 2007, 9 (11) :1081-1090
[4]  
Bresnick J., 2015, Healthcare Internet of Things to Reach $117 Billion by 2020
[5]   An IoT-Aware Architecture for Smart Healthcare Systems [J].
Catarinucci, Luca ;
de Donno, Danilo ;
Mainetti, Luca ;
Palano, Luca ;
Patrono, Luigi ;
Stefanizzi, Maria Laura ;
Tarricone, Luciano .
IEEE INTERNET OF THINGS JOURNAL, 2015, 2 (06) :515-526
[6]   EMC: Emotion-Aware Mobile Cloud Computing in 5G [J].
Chen, Min ;
Zhang, Yin ;
Li, Yong ;
Mao, Shiwen ;
Leung, Victor C. M. .
IEEE NETWORK, 2015, 29 (02) :32-38
[7]   AIWAC: AFFECTIVE INTERACTION THROUGH WEARABLE COMPUTING AND CLOUD TECHNOLOGY [J].
Chen, Min ;
Zhang, Yin ;
Li, Yong ;
Hassan, Mohammad Mehedi ;
Alamri, Atif .
IEEE WIRELESS COMMUNICATIONS, 2015, 22 (01) :20-27
[8]   NDNC-BAN: Supporting rich media healthcare services via named data networking in cloud-assisted wireless body area networks [J].
Chen, Min .
INFORMATION SCIENCES, 2014, 284 :142-156
[9]   A Survey of Recent Developments in Home M2M Networks [J].
Chen, Min ;
Wan, Jiafu ;
Gonzalez, Sergio ;
Liao, Xiaofei ;
Leung, Victor C. M. .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (01) :98-114
[10]  
Gordy JD, 2000, PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III, P456, DOI 10.1109/MWSCAS.2000.951682