READ ME File For 'A dataset for systematic testing of crackle separation techniques'

Dataset DOI: 10.5258/SOTON/D0801

ReadMe Author: Ravi Pal and Prof Anna barney, ISVR, University of Southampton

This dataset supports the publication:A dataset for systematic testing of crackle separation techniques
AUTHORS: Ravi Pal and Anna Barney
TITLE: A dataset for systematic testing of crackle separation techniques
Conference: Forty First Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'19, 23-27 July 2019 in Berlin, Germany.

This dataset contains: (a) real fine and coarse crackles, and simulated fine and coarse crackles with different initial deflection width and two cycle deflection width,
(b) matlab code for generating noises with differnet spectral propoerties and different SNR (range -10dB to 10dB) compared to the crackles:  i) noise with the spectral characteristics of healthy breath noise and ii) Gaussian white noise and (c) real lung sound samples with i) predominantly fine inspiratory crackles (idiopathic pulmonary fibrosis) and ii) predominantly coarse crackles in both inspiration and expiration (bronchiectasis). 
For a detailed description of the dataset please read the paper 'A dataset for systematic testing of crackle separation techniques' (the paper will be visible in IEEE Xplore and PubMed approximately 90 days after the conference).

How to open this dataset: This dataset contains '.wav' files,  '.mat' files, and matlab codes for generating breath noise and Gaussian white noise in the range of 
-10 to 10 dB in steps of 1 dB and 201 test signals for each SNR. So we suggest please use Matlab software for openning the dataset.

Information about geographic location of data collection: University of Southampton, U.K.

Licence:  Creative Commons: Attribution 4.0 (CC BY) 

Related projects:Automated analysis of lung sounds as a predictor of Ventilator Associated Pneumonia (VAP). This project is funded by the Engineering and Physical Sciences Research Council (EPSRC), National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, and The Asthma, Allergy & Inflammation Research (AAIR) Charity.


Date that the file was created: February, 2019