Name and tittle: Mohammad Mehedy Masud, Associate Professor, Information Systems and Security, College of Information Technology
Project Title: Continuous anywhere monitoring and emergency medical warning system Project Abstract:
The research work aims at developing a clinical emergency warning system using smart wearable devices. This system can be used for continuous, anywhere monitoring for a person using a low-cost and easy-to-use wearable device (such as fitness band) and a smartphone. The wearable device will sense vital signs (such as heart rate) and transmit the data to the smartphone; then the smartphone will analyze the data along with other historical medical records of the patient and generate warning if the patient experiences health condition that requires emergency medical assistance. The system will be capable of generating two types of warning, namely, immediate warning and advance warning. Immediate warning will be generated by assessing patient status in real time and immediately reporting the status using an alarm system if an emergency situation arises.
On the other hand, advance warning will be generated using a prediction mechanism, which will predict ahead of time whether the patient is going to experience an emergency health condition in the near future. The advance warning will give caregivers more time to be better prepared for the emergency situation and take necessary precautionary measures ahead of time, thereby saving the patients from potential loss. The proposed research work will be addressing two main research and development challenges. The first challenge is building an efficient and accurate model for generating the warnings. We will be addressing this challenge by proposing novel and efficient data analytics techniques. We will have to innovate efficient techniques for utilizing the huge data including vital signs (e.g. heart rate) historical electronic records of the patient in question and similar electronic records and vital signs of a large number of patients.
The second challenge is the development a working prototype of the system and deployment of the system in real environment. The goals of this proposed research are aligned with the interests of UAE. The project outcomes (i.e., the warning system) will have a direct and visible impact on the UAE population by improving the efficiency of healthcare system with improved care and reduced cost.
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