Platform 2: Sensing & Remote Monitoring

Principal Investigators

Associate Professor David Budgett, University of Auckland
Professor Poul Nielsen, University of Auckland

Associate Investigators

Dr Daniel McCormick (University of Auckland), Dr Koray Atalag (University of Auckland)


Miniaturised sensors will transform medical monitoring and intervention. Wireless sensors are leading to continuous and unobtrusive monitoring.

This Technology Platform will accelerate the development, adoption and deployment of new sensors. Our infrastructural capability meets two needs: “niche discovery” and “getting to scale”.

Niche discovery relates to the creation of unique instruments relying heavily on human expertise and specialise infrastructure. Getting to scale focuses on communication, interconnectivity, and supporting widespread adoption of sensor technologies by our diverse partners.

Composite image of integrated circuits and an optical fibre.

Platform Technology available

Hardware Standards

The communication technology platform is founded on standards, harmonisation and of-the-shelf componentry to leverage commercial telecommunication technology in areas such as low energy Bluetooth. Bluetooth is a global wireless communication standard that is well suited to many sensor applications. The standard has massive industry buy in and performance and cost are driven by a huge market demand. Have a look at the Nordic nRF52 Series System on a Chip.

Information and Communication Standards

A diagram showing four types of standards - data, terminology, content and exchange standards. Data standards are concerned with format and technical side of things, examples are HTML, XML, RDF, JSON. Terminology standards are to do with syntax and semantics, examples are ICD/LOINC, SNOMED CT, UMLS, OBO Foundry. Content standards are to do with structure and advanced semantics, examples are openEHR/CIMI, HL7 CDA, ISO/CEN 13606. Exchange standards are to do with process and integration, examples are HL7 v2 & FHIR, IHE Profiles.

Wide spread adoption is facilitated by these standards. Dr Atalag’s main research challenge is ensuring data coming from one source can be used safely and appropriately when linked with data from other sources - semantic interoperability. Scientific methods embodied in various industry standards like openEHR, HL7, SNOMED and the whole raft of Semantic Web technologies including formal ontologies, RDF/SPARQL, OWL and Linked Data are all important in achieving this goal.

Pressure in the cloud

We will be open-sourcing a system for taking data measurements from pressure sensors. Sensor data will be transmitted using Bluetooth to an Android device and then passed to a cloud based server, processed and feedback returned to users. The sensor technology and communication hardware will be interchangeable and processing and storage flexible. The purpose is to showcase the capability and make the technology accessible to MedTech CoRE projects and partners.