K-complex detection based on pattern matched wavelets

K-complex detection is a fundamental requirement during sleep stage analysis. A number of past studies have used commonly applied wavelets to detect K-complexes. In this study we have constructed a wavelet specifically to match the structure of K-complexes and further as preliminary testing we have applied the designed wavelet for K-complex detection on the publicly available DREAMS© database and second private database. Results obtained from the DREAMS© database showed a True Positive Rate of 84% at a Positive Predictive Value of 62%. The results are on par with other algorithms that were tested on the same databases.

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