Smartphone as an Edge For Context-Aware Real-Time Processing for Personal E-Health
Location
SU 003
Start Date
6-5-2022 12:40 PM
Department
Computer Science
Abstract
The current medical field is facing a problem of how patients can share their health-related information with healthcare providers. This involves secure sharing, diverse data types, and formats reported by healthcare-related devices. In this project, we propose a multilayer framework to address these challenges in the context of the Internet of Medical Things (IoMT). In our framework, we have sensors and medical devices that measure vital signs and communicate such data with smartphones. The smartphone is used as an “edge device” to visualize, analyze, and report context-aware data to the cloud-layer that provides a secure database for users’ medical information and a set of services for processing. Our focus will be on medical device connectivity, data collection, and interoperability for friction-less data processing to build context-aware personal medical records (PMRs). These PMRs will be securely stored through a communication protocol, Message Queuing Telemetry Transport (MQTT), and utilized by other authorized medical staff and institutions. MQTT is lightweight, intuitive, and easy to use messaging protocol suitable for IoMT applications and devices. Consequently, these PMRs are further processed in a cloud platform called Amazon Web Services (AWS). In AWS, our project also has a customized data pipeline which displays useful analytics and push-notifications from the cloud to the user. Furthermore, as this senior project is part of the University Honors Program curriculum, I presented my initial results and won second best presentation overall at the Honors Council of the Illinois Region Spring 2022 Student Symposium.
Faculty Sponsor
Ahmed Khaled, Northeastern Illinois University
Smartphone as an Edge For Context-Aware Real-Time Processing for Personal E-Health
SU 003
The current medical field is facing a problem of how patients can share their health-related information with healthcare providers. This involves secure sharing, diverse data types, and formats reported by healthcare-related devices. In this project, we propose a multilayer framework to address these challenges in the context of the Internet of Medical Things (IoMT). In our framework, we have sensors and medical devices that measure vital signs and communicate such data with smartphones. The smartphone is used as an “edge device” to visualize, analyze, and report context-aware data to the cloud-layer that provides a secure database for users’ medical information and a set of services for processing. Our focus will be on medical device connectivity, data collection, and interoperability for friction-less data processing to build context-aware personal medical records (PMRs). These PMRs will be securely stored through a communication protocol, Message Queuing Telemetry Transport (MQTT), and utilized by other authorized medical staff and institutions. MQTT is lightweight, intuitive, and easy to use messaging protocol suitable for IoMT applications and devices. Consequently, these PMRs are further processed in a cloud platform called Amazon Web Services (AWS). In AWS, our project also has a customized data pipeline which displays useful analytics and push-notifications from the cloud to the user. Furthermore, as this senior project is part of the University Honors Program curriculum, I presented my initial results and won second best presentation overall at the Honors Council of the Illinois Region Spring 2022 Student Symposium.