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PSGMiner a novel software which has been developed to carry out feature extraction in order that robust analysis and classification of various sleep diseases can be performed using polysomnographic data.The software is composed of different modules: The database, feature extraction, annotation,artifact and machine learning modules.
for cite
İlhan Umut, PSGMiner: A modular software for polysomnographic analysis, Computers in Biology and Medicine, Volume 73, 1 June 2016, Pages 1-9, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2016.03.023.
(//www.sciencedirect.com/science/article/pii/S0010482516300750)
Keywords: Computer software; Digital signal processing; Machine learning; Polysomnography
APPLICATIONS
Medicine: diagnosis (neurophysiology, sleep disorders tests…)
Research: biomedical engineering, signal processing and machine learning
Educational
Features
- Facilitates co-working between clinicians and researchers
- The software will make it easier to do various researches in the area of sleep
- There is no similar software that is capable of analyzing all PSG (Polysomnography) data
- Different classifications can be made with various attributes having the desired epoch lengths
- The software proves quite easy to make any change in any part of the software or to add a new module into it
- Easy and understandable use was provided in designing the interfaces
- The data obtained can be exported, which allows them to be used in different classification software
Project Samples
