Abstract
In the modern era of technology, smart, secured, interactive, and comprehensive healthcare is essential. The exponentially growing Internet of things (IoT) technologies with the growing attention of patients has played an essential part in the smart healthcare system. To prevent the avoidable deaths, a real-time monitoring healthcare framework is required to analyze the patient’s health condition. HealthcareIoT has substantial potential to achieve such kind of monitoring and care. HealthcareIoT is the integration of several communication technologies, people, sensors, and devices and connected applications to capture, track, store, and monitor patient information. In this paper, we present a smart HealthcareIoT solution for asthma patients, where respiration rate is captured through smart sensors and securely transmitted to the cloud. Where healthcare advisors can access and provide medication after analyzing patient information. Watermarking and signal enhancement techniques are used to secure and reduce identity theft in the transmission. The proposed work has been authenticated by both simulation and experimental results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
https://www.psmarketresearch.com/market-analysis/smart-home-healthcare-market
http://healthitanalytics.com/news/healthcare-internet-of-things-driving-global-market-growth
Hassanalieragh, M., et al. Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges, Services Computing (SCC), 2015 IEEE international conference on. IEEE, 2015.
Mohammed, J., et al. Internet of Things: Remote patient monitoring using web services and cloud computing. Internet of Things (iThings), 2014 IEEE international conference on, and green computing and communications (GreenCom), IEEE and cyber, physical and social computing (CPSCom), IEEE. IEEE, 2014.
Hu, L., et al. (2015). Software defined healthcare networks. IEEE Wireless Communications, 22(6), 67–75.
Riazul Islam, S. M., et al. (2015). The internet of things for health care: A comprehensive survey. IEEE Access, 3, 678–708.
Jara, A. J., Zamora-Izquierdo, M. A., & Skarmeta, A. F. (2013). Interconnection framework for mHealth and remote monitoring based on the internet of things. IEEE Journal on Selected Areas in Communications, 31(9), 47–65.
Xu, B., et al. (2014). Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Transactions on Industrial Informatics, 10(2), 1578–1586.
Li, Y., Guo, L., & Guo, Y. Enabling health monitoring as a service in the cloud. Utility and cloud computing (UCC), 2014 IEEE/ACM 7th international conference on. IEEE, 2014.
Hossain, M. S. (2015). Cloud-supported cyber–physical localization framework for patients monitoring. IEEE Systems Journal, 11(1), 118–127.
Zhang, K., et al. (2015). Security and privacy for mobile healthcare networks: From a quality of protection perspective. IEEE Wireless Communications, 22(4), 104–112.
Hossain, M. S., & Muhammad, G. (2014). Cloud-based collaborative media service framework for healthcare. International Journal of Distributed Sensor Networks, 10(3), 858712.
Granados, J., et al. (2015). Web-enabled intelligent gateways for eHealth internet-of-things. In Internet of Things. User-Centric IoT (pp. 248–254). Cham: Springer International Publishing.
Amendola, S., et al. (2014). RFID technology for IoT-based personal healthcare in smart spaces. IEEE Internet of Things Journal, 1(2), 144–152.
Catarinucci, L., et al. (2015). An IoT-aware architecture for smart healthcare systems. IEEE Internet of Things Journal, 2(6), 515–526.
Raji, A., et al. Respiratory monitoring system for asthma patients based on IoT. Green engineering and technologies (IC-GET), 2016 online international conference on. IEEE, 2016.
Tiwari, N, Ramaiya, M. K., & Sharma, M. Digital watermarking using DWT and DES. Advance computing conference (IACC), 2013 IEEE 3rd international. IEEE, 2013.
Gonge, S. S., & Bakal, J. W. (2013). Robust digital watermarking techniques by using DCT and spread spectrum. International Journal of Electrical, Electronics and Data Communication, 1(2), 111–124.
Goldberger, A. L., et al. (2000). Physiobank, physiotoolkit, and physionet. Circulation, 101(23), e215–e220.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Shah, S.T.U., Badshah, F., Dad, F., Amin, N., Jan, M.A. (2019). Cloud-Assisted IoT-Based Smart Respiratory Monitoring System for Asthma Patients. In: Khan, F., Jan, M., Alam, M. (eds) Applications of Intelligent Technologies in Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-96139-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-96139-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96138-5
Online ISBN: 978-3-319-96139-2
eBook Packages: EngineeringEngineering (R0)