Key result
A proposed middleware architecture successfully integrated six health sensors across standard and proprietary protocols to retrieve 24 different data types while managing user privacy.
A proposed middleware architecture facilitates interoperability and data retrieval from various health sensors regardless of their underlying communication protocols.
May enable interoperable multi-sensor monitoring in practice; leaves open clinical validation, scalability, and regulatory testing.
Quantified-self is a growing movement that stimulates users to monitor their health status for a better prevention of illnesses using a set of sensors. For reliable monitoring, it should be easy to retrieve sensors data despite the implemented communication protocol, standard or proprietary. In this contribution, we propose a middleware that can be used by software developers to retrieve data from sensors without worrying about the communication protocol implemented by those sensors. This middleware takes into consideration data category, that is, wellness or medical. It also handles sensors reliability and legal framework. Six sensors, which implement one standard protocol and two proprietary ones, have been integrated to the middleware. They offer to measure 24 different data types, such as weight, blood pressure, or heart rate. The middleware manages also users' privacy.
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Georgi et al. (2018) studied this question. Middleware for health sensors interoperability was evaluated. A proposed middleware architecture successfully integrated six health sensors across standard and proprietary protocols to retrieve 24 different data types while managing user privacy.
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