New development of a measurement algorithm

Task

For the new generation of point-of-care measuring devices, an algorithm with higher accuracy and measuring speed was developed, which could also be made significantly more resistant to interference.

Solution approach

• Evaluation and analysis of complex laboratory measurement series
• Time series analysis and mathematical modelling of curve progressions under different conditions and development of a physical understanding of the processes
• Development of suitable digital filter systems for signal processing
• Development and evaluation of various models for digital signal processing and their verification and adaptation based on laboratory measurement data
• Parameter optimisation for the models
• Analysis of the influence of climatic conditions on the measurement result and development of suitable corrections
• Preliminary development of the algorithm in Matlab
• Implementation and testing of signal processing for the target system (embedded) with Simulink
• Project support and adaptation of the measurement system up to the prototype phase based on model-based design

Result

Thanks to the model-based design approach using Matlab/Simulink, this very extensive project was successfully completed within a very short time compared to similar projects.

The model-based design approach helps us to implement complex algorithms in a simple way, thereby simplifying processes and avoiding errors. The approach allows developers to focus on their core areas of work, which – not least – also promotes creativity and increases the enjoyment of development.

The project was presented at Matlab Expo 2017.