Sensor Networks and Personal Health Data Management: Software Engineering Challenges

Xiang Zhang, Jialu Zhang, Matthew Pike, Nasser M. Mustafa, Dave Towey, Vladimir Brusic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The advances of 5G, sensors, and information technologies enabled proliferation of smart pervasive sensor networks. 5G mobile networks provide low-power, high-availability, high density, and high-throughput data capturing by sensor networks and continuous streaming of multiple measured variables. Rapid progress in sensors that can measure vital signs, advances in the management of medical knowledge, and improvement of algorithms for decision support, are fueling a technological disruption to health monitoring. The increase in size and complexity of wireless sensor networks and expansion into multiple areas of health monitoring creates challenges for system design and software engineering practices. In this paper, we highlight some of the key software engineering and data-processing issues, along with addressing emerging ethical issues of data management. The challenges associated with ensuring high dependability of sensor network systems can be addressed by metamorphic testing. The proposed conceptual solution combines data streaming, filtering, cross-calibration, use of medical knowledge for system operation and data interpretation, and IoT-based calibration using certified linked diagnostic devices. Integration of blockchain technologies and artificial intelligence offers a solution to the increasing needs for higher accuracy of measurements of vital signs, high-quality decision-making, and dependability, including key medical and ethical requirements of safety and security of the data.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference, FTC 2020, Volume 3
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer Science and Business Media Deutschland GmbH
Pages140-159
Number of pages20
ISBN (Print)9783030630911
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventFuture Technologies Conference, FTC 2020 - San Francisco, United States
Duration: Nov 5 2020Nov 6 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1290
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceFuture Technologies Conference, FTC 2020
CountryUnited States
CitySan Francisco
Period11/5/2011/6/20

Keywords

  • Big data
  • Health data streaming
  • Health monitoring
  • Metamorphic testing
  • Mobile health
  • Smart health

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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