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Conference proceedings article

Title Multi-algorithm respiratory crackle detection
Author João Quintas, Guilherme Campos, Alda Marques
Booktitle 6th International Conference on Health Informatics (HEALTHINF 2013)
Address Barcelona, Spain
Month February
Year 2013
Group (before 2015) Signal Processing Laboratory
Indexed by ISI Yes
Scope International

Four crackle detection algorithms were implemented based on selected techniques proposed in the literature. The algorithms were tested on a set of lung sounds and their performance was assessed in terms of sensitivity (SE), accuracy (PPV) and their harmonic mean (F index). The reference annotation data for calculating these indices were obtained through agreement by majority between independent annotations made by three health professionals on the same set of lung sounds. A combination of the four algorithms based on agreement by majority afforded more than 7% performance improvement over the best individual algorithm.