Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), July 2019
Matthew Pike, Nasser M. Mustafa, Dave Towey, Vladimir Brusic. 2019. Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). DOI:https://doi.org/10.1109/COMPSAC.2019.00123
Matthew Pike and Nasser M. Mustafa and Dave Towey and Vladimir Brusic. (2019). Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2019.00123
Matthew Pike and Nasser M. Mustafa and Dave Towey and Vladimir Brusic. "Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges." 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019. https://doi.org/10.1109/COMPSAC.2019.00123
Matthew Pike, Nasser M. Mustafa, Dave Towey, Vladimir Brusic. 2019. Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). doi:10.1109/COMPSAC.2019.00123
Matthew Pike and Nasser M. Mustafa and Dave Towey and Vladimir Brusic, "Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges," 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 2019. doi: 10.1109/COMPSAC.2019.00123
@inproceedings{compsac-2019,
title={Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges},
author={Matthew Pike and Nasser M. Mustafa and Dave Towey and Vladimir Brusic},
booktitle={2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
year={2019},
doi={10.1109/COMPSAC.2019.00123}
}
Data streaming, Digital wellbeing, Health monitoring, Internet of Things (IoT), Oracle problem, Sensor networks
Abstract
Smart pervasive sensor networks are becoming an essential part of modern healthcare systems, providing real-time monitoring and data collection. The increasing adoption of 5G mobile networks enables high-throughput, low-latency communication, introducing significant advancements in health monitoring. This paper highlights key software engineering and data-processing challenges in managing large-scale sensor networks, particularly in healthcare applications. It explores the integration of multi-level health knowledge with sensor data streams, addresses the oracle problem in sensor networks, and proposes metamorphic testing as a potential solution. The study discusses filtering, cross-calibration, and IoT-based data validation techniques to improve the reliability and efficiency of sensor-based healthcare systems.