Sample PhD Telecommunication Engineering Dissertation Proposal

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Mobile Intelligent Remote Health Care Monitoring System

Introduction

Healthcare systems use sensor technology and microchips to get real-time information on vital signs within the human body before their appearance. Most methods are easy to use and operate due to their being enabled with NFC technology; this technology is extended to healthcare settings in rural areas (Patel et al., 2012, p. 21).

It can be achieved through the latest mobile technology, Near Field Technology. It will also provide solutions to different healthcare needs. As such, this project aims to develop an automated healthcare system based on NTC technology. The system will use smartphone technologies such as mobile phones, PDAs, tablets, and the Internet. The security and safety of patients are also considered in developing the project. The system will enable patients and doctors to access data remotely, with the data being maintained within a centralized cloud server. The intelligent system will also enable doctors to monitor healthcare facilities and operations remotely to access the data remotely.

Literature Review

This section will present related works on the system. Existing literature will be reviewed to identify an existing gap to justify the need for this study.

Proposed System

Goals and Objectives of the System

This project aims to develop a system for healthcare facilities to use to relieve doctors from a load of monitoring patients’ health and enhance accuracy and efficiency. The project achieves this by presenting healthcare providers’ methodology to monitor patients remotely using smartphones and NFC technology (Appelboom et al., 2014, p. 28).

The study proposes a new automatic patient monitoring system to monitor and identify patients remotely and ensure the service is streamlined, automated, and cost-effective. Patient security and safety will also be ensured through remote access and securing of patient data.

Software Context

The use of the NFC technology allows the integration of smart tags and data processors within the same system. The other advantages of the NFC and mobile technology used in developing the system will be discussed in this section.

Major Constraints

The system will face some constraints. Such are discussed in this section to guide healthcare providers when integrating the system in the operations. They include that the phones used must have NFC technology, sensors should always assess accuracy, and monitoring the patients will only be possible when the cloud server is available.

Architectural Design of the System

Modules of the System

The five modules of the system and their contribution to its functioning will be discussed in this section. They include the admin application, android application, server application, doctor application, hardware device, and database. These modules will enable the system to interact through wireless technologies such as Bluetooth and Wi-Fi. The principle of this interaction will also be discussed.

Design of the System and Flow of Events

The system will be designed using the MySQL database due to the requirements of the system. It will be discussed in this section. Further, the flow of events will be discussed from the point the system is activated to when notifications are sent through email and message. This mechanism will allow remote access to patient data and thus remote monitoring of healthcare operations.

Conclusion

This section concludes the operation of the system and recommendations why healthcare facilities should integrate it for patient monitoring.

Reference List

Appelboom, G., Camacho, E., Abraham, M.E., Bruce, S.S., Dumont, E.L., Zacharia, B.E., D’Amico, R., Sloman, J., Reginster, J.Y., Bruyère, O. and Connolly, E.S., 2014. Smart wearable body sensors for patient self-assessment and monitoring. Archives of Public Health, 72(1), p.28.

Patel, S., Park, H., Bonato, P., Chan, L. and Rodgers, M., 2012. A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 9(1), p.21.