Exploring EMD for Lung Crackle Detection

نویسندگان

  • Maria Beatriz Ferreira
  • Guilherme Campos
چکیده

This paper presents a two-stage crackle detection algorithm combining Empirical Mode Decomposition (EMD) and a simple energy peak detector. A discussion is presented of the main issues arising in the implementation of the EMD stage and the solutions adopted. The algorithm was implemented in MATLAB® and preliminarily tested on an annotated 10-second respiratory sound file, without any prior systematic training. Applying the energy peak detection to the intrinsic mode function of order 3 (IMF3) generated by the EMD stage, an 87% F performance index was achieved.

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تاریخ انتشار 2012