BioMOBIUSTM

Workshops/Tutorials

As future versions of BioMOBIUS™ are released to the research community, the TRIL team will run a series of national and international events on the development and use of the BioMOBIUS™ platform for biomedical research applications. This page will have details of such events.

Sample Workshop Outline

This workshop will allow participants to learn about the capabilities of the BioMOBIUS™ platform, see real world examples of its use in biomedical research prototypes such as falls prevention, cognitive state monitoring and social connectedness through a set of six integrated sessions. Participants will also learn about its use in undergraduate teaching and other research domains such as sports science.

Session 1

  • Presents the context for BioMOBIUS™, comparing and contrasting it with current state of the art.
  • Demonstrate the hierarchical application model of BioMOBIUS™ from low level hardware (sensor) functional elements through to end user application development (e.g. Sudoku).

Session 2

  • This session provides a deeper context of application development for biomedical signal processing, bioinstrumentation, diagnostic systems and health care information systems. Practical examples from systems which have been developed with BioMOBIUS™ will be contrasted with the traditional application development process.
  • Demonstrations of how BioMOBIUS™ can be used not only by biosignal application developers but also other researchers who can leverage the flexibility and ease of use of a graphical development environment.

Session 3

  • First hands on part of the workshop. Participants will be encouraged to bring their own laptops and to install/configure BioMOBIUS™ for use. A range of SHIMMER wireless sensors will be provided to support sample application development.

Session 4

  • Focus on using advanced features of BioMOBIUS™ environment. Participants will learn to use the more complex features of BioMOBIUS™ such as mobile physiological status monitors including digital signal processing blocks, kinematic data processing, video processing, communication assistants etc.
  • Demonstration of third-party sensor integration with BioMOBIUS™ for physiological data collection. Methods for developing experiments which can support long term data collection with fully integrated end user interaction capabilities e.g. communication assistants and games.

Session 5

  • The fifth session deasl with the collection of data not just from a single person but from a range of people involved in short and long term in-home clinical experiments. Approaches to data collected from an instrumented environment in terms of environmental, physical and computational (i.e. software) sensors will be demonstrated.
  • Visualisation features of BioMOBIUS™. Clinical examples of visualisation implementations. The challenges of large scale data management will be reviewed. Visualisation tools suitable for representing, refining and interacting with large sets of data collected from a number of real in-home deployments will be presented.

Session 6

  • The use of BioMOBIUS™ in other domains such undergraduate teaching programmes, sports science etc will be reviewed. The capabilities within BioMOBIUS™ can be easily re-tasked to enable a wide variety of domains by using the graphical development environment to compose hardware and software blocks through to lower level block development for computer vision, data mining and pattern matching etc.

Prerequisites

There are no prerequisites for this workshop however a basic knowledge of programming principles and biosignal processing would be advantageous.