Name: Artefact-free and distorted capnogram segments
Creator: Ismail M. El-Badawy
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Signal Processing, Digital signal processing, Machine Learning, Biomedical and Health Sciences, Biophysiological Signals

Abstract

This dataset has been employed in the following articles:

https://ieeexplore.ieee.org/document/9682692

https://ieeexplore.ieee.org/document/9871051

https://content.iospress.com/articles/technology-and-health-care/thc202198

The dataset comprises 100 clean and 100 distorted segments acquired from recorded capnogram signals. The time duration of each segment is 15 seconds, and hence each .txt file contains 300 CO2 sample value becuase the sampling rate of the capnography device is 20 samples/sec.

Instructions:

Each text file is given a name according to whether it contains a regular (artefact-free) or irregular (distorted) capnogram segment. For example the ninth distorted segment is given the name: Sample_9_irregular.txt

Each text file contains 300 CO2 sample values, and the time duration between each two consecutive samples is 0.05 s because the sampling rate of the employed capnography device is 20 samples/sec.