3.8 Proceedings Paper

Phonendo: A Platform for Publishing Wearable Data on DLT

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-031-21333-5_100

Keywords

IoT; Wearable; Telemedicine; DLT

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Modern intelligent health-based software relies on data-driven systems that collect data from wearable devices for continuous remote monitoring of patient parameters. The significance of wearable devices and data streams lies in their cost efficiency and ability to provide numerous solutions to health-based problems. However, the security of data in these applications is crucial, which is where Distributed Ledger Technologies (DLT) come into play by offering resistance to information manipulation and resilience to single points of failure.
Modern intelligent health-based software nowadays is based on data-driven systems that collect data streams from wearable devices that perform continuous remote monitoring of patient parameters. The importance of such wearable devices and data streams is key because of their low cost, but also because they facilitate the building of a large number of solutions to multiple health-based problems. Despite of the easy manipulation of both, devices and their data streams; the necessary processes from collecting data to final analyses passing by data transformation and variable creation present an important flaw such as, it is the security of such data in applications that is mandatory. Distributed Ledger Technologies (DLT) enable systems to be endowed with characteristics such as resistance to information manipulation or resilience to the appearance of single points of failure. DLT have the potential to build wearable-based solutions offering characteristics that would allow building a wider range of possible solutions. This contribution introduces Phonendo, a platform for collecting data streams from wearable devices and publishing them on a DLT Infrastructure (DLTI). Phonendo is under development and here we focus on the presentation and justification of its interface layers, i.e., data collection and publication on a DLTI.

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