Abstract
Healthcare monitoring system is introduced to reduce the daily visit of patients to the hospital. The patients can collect their vital parameters and send those measured values to the doctor or hospital. Healthcare monitoring system introduces the real-time monitoring of vital parameters of the patients such as collecting all the information from the patients and sending it to the web server. The authorized person can log into his account and see the patients’ vital parameters. These vital data can be stored and analyzed for further decision-making and analysis. By identifying the pattern of the vital parameters which is observed, the nature of the disease can be predicted. The system collects patient’s body temperature, oxygen saturation percentage, heart rate, blood glucose, and blood pressure using Raspberry Pi board and cloud computing. The communication protocol used in the system is AMQP protocol. It supports reliable communication via message delivery guarantee primitives including at-most-once, at-least-once, and exactly once delivery. The collected data from various patients could not be handled easily by the physician. The main concern of the physician is that he should take the critical decisions about their patient’s health from this huge volume of health information. The huge amount of information can be stored in cloud and the data can be analyzed using data mining.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Binu, P.K., Thomas, K., Nithin, P.V.: Highly secure and efficient architectural model for IoT based health care systems. In: International Conference on Advances in Computing, Communications and Informatics, pp. 487–493. IEEE, Udupi (2017)
IoT in healthcare reference available. http://www.readwrite.com/
Ray, I., Alangot, B., Nair, S. and Achuthan, K.: Using attribute—based access control for remote healthcare monitoring. In: 2017 Fourth International Conference Software Defined Systems, pp. 137–142, IEEE, Spain (2017)
The SpO2 reference is available. https://www.blog.withings.com/
Binu, P.K., Akhil, V., Mohan, V.: Smart secure IoT based child behavior and health monitoring system using Hadoop. In: International Conference on Advances in Computing, Communications and Informatics, pp. 418–423. IEEE, Udupi (2017)
Perumalsami, R., Riffath Shehla, M.: AMQP based patient monitoring system. Int. J. Res. Appl. Sci. Eng. Technol. 3(III): 213–228 (2015)
Luzuriaga, J.E., Perez, M., Boronat, P., Cano, J.C., Calafate, C., Manzoni, P.: A comparative evaluation of AMQP and MQTT protocols over unstable and mobile networks publication details. In: 12th Consumer Communications and Networking Conference, pp. 931–936. IEEE, Las Vegas (2015)
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. In: IEEE Communications Surveys & Tutorials, vol. 17, issue 4, pp. 2347–2376, Fourth Quarter 2015. IEEE (2015)
Xiong, X., Fu, J.: Active status certificate publish and subscribe based on AMQP. In: International Conference on Computational and Information Sciences, pp. 725–728. IEEE, China (2011)
John, V., Liu, X.: A survey of distributed message broker queue. In: arXiv:1704.00411v1 [cs.DC], April (2017)
Ani, R., Krishna, S., Anju, N., Aslam, M.S, Deepa, O.S.: IoT based patient monitoring and diagnostic prediction tool using ensemble classifier. In: International Conference on Advances in Computing, Communications and Informatics, pp. 1588–1593, IEEE, Udupi (2017)
GSM/GPRS TTL UART MODEM-SIM900A reference available. http://www.rhydolabz.com/wiki/?p=853
Divya, K., Jeyalatha, S.: Key technologies in cloud computing. In: Proceedings of 2012 International of Cloud Computing, Technologies, Applications & Management, pp. 196–199, IEEE, Dubai (2013)
CloudAMQP reference is available. http://www.cloudamqp.com
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Krishna, C.S., Sasikala, T. (2019). Healthcare Monitoring System Based on IoT Using AMQP Protocol. In: Smys, S., Bestak, R., Chen, JZ., Kotuliak, I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-8681-6_29
Download citation
DOI: https://doi.org/10.1007/978-981-10-8681-6_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8680-9
Online ISBN: 978-981-10-8681-6
eBook Packages: EngineeringEngineering (R0)