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1 Journal of Theoretical and Applied Computer Science

1 2013

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Signal processing approach for breath prediction pattern recognition

100%

Twardochleb M. , Król T.

tom Vol. 7, nr 3

51--60

In this paper, a new approach of signal processing for breath prediction pattern recognition is proposed and further analyses are presented. In order to extract key values from raw data, a shift from time domain to phase space has been utilized. It helped to achieve clearer peak-to-peak measurements which are crucial for breath prediction pattern recognition. Based on a special software tool for breath prediction pattern recognition several different algorithms have been compared. As a result, a reduction in error rate can be achieved when applying a new signal processing approach in comparison to the previous designs.