Near-real-time analyse of episodic ultradian events in body temperature profiles

Our research aims at understanding the origin of EUEs of temperature in mammals, the relationship between EUEs and circadian rhythm, and importantly the function of the EUEs of temperature in the preparation of organism to response to unpredictable stimuli. To test our hypotheses, we not only need to identify EUEs after collecting the data but also to be able to detect EUEs of temperature in real-time (or close to it) to be able to stimulate the animals during the different phase of the EUES (onset, plateau, descending phase).

We need a software package for processing raw data that is generated by telemetric systems that can in near-real time detect EUEs of temperature and store the characterise the detected EUEs. The shape of the EUEs can be variable, so the software should offer options to test different mother wavelets and validate their best fit.

The software package will:

• Run on multiple platforms (Windows, Macintosh, Unix)
• Capture data from the ADI instruments software that measures temperature in real-time;
• Provide an option to test different mother wavelets
• Analyse profiles to detect EUEs (peaks, troughs, onset);
• Generate reports that include the timing and characteristics of the EUES;

Client

IP Exploitation Model

Department of Computer Science & Software Engineering The University of Western Australia Last modified: 22 July 2019 Modified By: Michael Wise