Dominique Blache CITS3200 Project - Temperature calibration

Easy calibration of temperature data from animals

A wide range of thermometers exist to measure body temperature, including handheld analog or digital thermometers, thermal probes or implanted devices such as temperature data loggers, radio transmitters with thermal sensors, or thermistor/data logger assemblies. In endothermic organisms, variations in core body temperature of few tenths of degree C have biological relevance, so the accuracy of the temperature measuring devices is essential to produce reliable and meaningful data. In our research, we use implantable logging or telemetric devices.

Most temperature loggers and telemetric devices come with certificates of factory calibration according to International standards, such as NIST (https://www.nist.gov/calibrations) or ISO (www.iso.org). However, temperature loggers and telemetric devices are often post-factory user-customized to suit particular experimental needs. Deviations in the accuracy of temperature measurements are often due to drift, measurement noise, and slight variations in voltage delivered by the battery. To correct for post-factory customization, and shifts in accuracy over time after manufacture, calibrations should be applied both prior to, and after, any period of deployment. A minimum of three, but ideally five or more, calibration points, across the intended range of measurement, measured before and at the end of the biological measurements are necessary to confirm the linearity and accuracy of the temperature output.

Example here: https://drive.google.com/open id=12fBwqo64m6ZvqZp-091Khn63Buto9KOc

We need to develop a software package that will allow us to calibrate temperature loggers or telemetric devices so core body temperature can be compared across time and animals.

The software package will:

Run on multiple platforms (Windows, Macintosh, Unix)
Import data from the various commercial software that retrieve raw data from the devices;
Allow visual selection of calibration window;
Access the drift over time Calculate calibration correction factor;
Apply the corrections factors to the raw data and generate calibrated profile

Client

Contact: Dominique Blache
Phone: 6488 6730
Email: [email protected]
Preferred contact: Email
Location: UWA Crawley

IP Exploitation Model

The IP exploitation model requested by the Client is: Creative Commons ( open source ) http://creativecommons.org.au/

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