4.8 Article

HeDI: Healthcare Device Interoperability for IoT-Based e-Health Platforms

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 23, Pages 16845-16852

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3052066

Keywords

Sensors; Sensor systems; Interoperability; Monitoring; Wireless sensor networks; Biomedical monitoring; Wireless communication; Edge platforms; e-Health; in-home health monitoring; interoperability; interoperable adapter; IoT

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The proposed healthcare device interoperability system utilizes multiple sensors wirelessly connected to edge devices, allowing for dynamic accommodation of various sensors without predefined ontologies. The system's implementation demonstrates reliability and suitability for healthcare monitoring, with an average packet delivery ratio of 0.92 for star network configuration and 0.98 for mesh network configuration.
In this work, we propose and develop healthcare device interoperability (HeDI)-a system to enable device interoperability in IoT-enabled in-home healthcare monitoring platforms. The system consists of multiple sensors, each connected wirelessly to an edge device, acting as a wireless communication gateway to a remote server. The system initiates information handshaking between the sensor adapters and edge device at the beginning of the operation, which is later used to detect the sensor settings to process the data received from the sensor. The system is scalable and dynamically accommodates multiple sensors without any predefined ontologies at the edge device. The implementation of our system avoids dependencies on a system's physical ports. The low form factor and wireless connectivity of the adapter make the system portable and convenient for in-home health monitoring. Additionally, the system allows multiple homogeneous sensors to operate at the same time in the same system. We implement and evaluate our system with a 3-lead ECG, pulse, and temperature sensors against two different network configurations-star and mesh. We use the data set generated from our implemented system for performance analysis. The network-level analysis of our system shows an average packet delivery ratio of 0.92 for star network configuration and 0.98 for mesh network configuration, ensuring the reliability of performance and its suitability for healthcare monitoring systems.

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