Automatic oxygen saturation signal analysis software

Automatic blood oxygen saturation signal analysis software. This software automatically detects desaturation and following recovery events from the blood oxygen saturation signal. The software calculates numerous event-specific metrics for each scored event. From these metrics, several parameters are calculated. These parameters have been shown to be very useful, for example, in the severity assessment and phenotyping of sleep apnea. The user can decide how the desaturation events are scored by selecting the minimum event duration and minimum transient drop criteria for the desaturations. In addition, (optionally) the user can input analysis start/end times and/or hypnograms for each recording. These can be used to define the total analysis time used in parameter calculations. Software takes .EDF files as an input from which the oxygen saturation signals are retrieved. The software enables batch-like analysis, i.e. all .EDF files in the input folder are analysed in one go. Software is programmed with MATLAB (version 2021b). However, the user does not need to have MATLAB to use the software. Before the first use, MATLAB runtime is installed, if the computer does not have it installed. Publication describing the structure and validation of the ABOSA software (version 1.1) has been published in the Computer Methods and Programs in Biomedicine -journal with title "ABOSA - Freely available automatic blood oxygen saturation signal analysis software: Structure and validation", DOI: 10.1016/j.cmpb.2022.107120. In case ABOSA is used in the scientific publication, the above mentioned article should be cited, in addition to this Zenodo page. Software is intended for research use only.This work was funded by the European Union's Horizon 2020 research and innovation programme (grant agreement no. 965417), Nordforsk (NordSleep project 90458) via Business Finland (5133/31/2018), the Academy of Finland (323536), the Research Committee of the Kuopio University Hospital Catchment Area for the State Research Funding (projects 5041767, 5041770, 5041787, 5041794, and 5041797), Instrumentarium Science Foundation, Tampere Tuberculosis Foundation, and The Finnish Cultural Foundation – North Savo Regional Fund