OxySoft is a dedicated software application used to collect, store, view, and analyse all necessary data from the Brite Family devices, PortaMon, PortaLite, OctaMon and OxyMon. This user-friendly software is developed by Artinis Medical Systems and highly customisable to individual requirements.
Data from OxySoft can be analysed in a variety of ways. First, you can analyse data within OxySoft. OxySoft offers a variety of simple standard analysis techniques, such as filtering, averaging and statistical analysis. Second, data can also be exported to standard data formats, such as .csv, .txt or .xls file format. Third, we provide a MATLAB script, which allows importing your data obtained from Oxysoft directly into several MATLAB toolboxes such as Homer2, NIRS-SPM or FieldTrip. The script also allows importing the raw data, so that you are free to do any preferred analysis from within MATLAB.
Main features include:
1. Real-time data collection
2. Connection and data collection of multiple Artinis devices at the same time to guarantee perfect synchronization
3. Creation of projects to store related files and set-up analysis for all files simultaneously
4. Generation of events using various methods, e.g. keyboard or external inputs
5. Application of various types of filters
6. Re-sampling of data
7. Calculation of average, mean, standard deviation and regression
8. Calculation of differences between selected timeframes
9. Calculation of block average, including detrend function
10. Creation of two- of three-dimensional topo graphs to display (brain) activity for brain mapping
11. Creation of spectrum graphs
12. Comparison between traces
13. Export of data files to different formats (for instance text, Excel, XML)
14. Real-time data in- and export from / to Matlab and other software using LSL
15. Offline data export to Matlab and Matlab based (SPM) software packages
16. Import of data files collected with Artinis devices and other instruments
New in OxySoft 4.0:
17. Export of data files directly to .snirf format
18. Performance of device event mapping
19. Retrieval of lost data due to Bluetooth connection issues using the recovery tool
20. Submission of feedback directly due to software

More about OxySoft 4

OxySoft 4.0 – Facilitating NIRS data acquisition and analysis

We are proud of the enhanced performance of our recently released NIRS monitoring software. In this blogpost, we list all exciting features included in OxySoft 4.0 and shortly explain, how they can be used.

Supported NIRS devices for our elevated OxySoft 4.0

We are proud of the enhanced performance of our recently released NIRS monitoring software. In this blog post, we explain, which of our devices are supported in OxySoft 4.0 and higher.

OxySoft 4.0 unlocks easy export of NIRS data to .snirf format

The shared near-infrared file format (.snirf) is a standardized data format that was developed by (f)NIRS researchers to facilitate the exchange and sharing of NIRS data. Read this blog post to learn more about the .snirf format and how to export your data directly to .snirf in our latest software OxySoft 4.0!

Case studies

fNIRS analysis toolbox series – MNE/Python

In this blog post, we present MNE-NIRS, a Python toolbox for analyzing NIRS/fNIRS data, which aims at researchers with a background in engineering, neuroscience and/or AI. The toolbox is handled by scripting the processing pipeline, which can be done in a regular Python script or within a Jupyter notebook.

fNIRS analysis toolbox series – Homer

Here we present Homer3, an open-source MATLAB toolbox for analysis of fNIRS data and for creating maps of brain activation. In this blog post, we present the basic principle of Homer3 and show a simple example of how to read in data, preprocess the data (filtering only), average over trials as well as over subjects, and plot the final result in a graph.

fNIRS analysis toolbox series – FieldTrip

Here we present FieldTrip, which is a MATLAB analysis toolbox that was originally designed for electrophysiological data analysis. However, FieldTrip supports fNIRS data analysis as well. It contains high-level functions that can be combined in a MATLAB script. It aims at researchers with a background in neuroscience, engineering, optics and physics.

fNIRS analysis toolbox series – Brain AnalyzIR

Here we present the NIRS Brain AnalyzIR toolbox, a toolbox for analysis of (f)NIRS data in Matlab. NIRS Brain AnalyzIR toolbox aims at researchers with a background in neuroscience. The toolbox is suitable for researchers having basic knowledge of Matlab and especially those who are comfortable with object-oriented programming.

fNIRS analysis toolbox series – NIRSTORM

Here we present NIRSTORM, a NIRS analysis plugin for the MATLAB-based MEEG Brainstorm toolbox. It is aimed at researchers with a background in neuroscience, engineering, optics and physics. Here, we present the basic principle of NIRSTORM and show a simple example of how to go from raw data to a visualisation of the average response over trials and sessions.

fNIRS analysis toolbox series – OxySoft

OxySoft is our proprietary, and dedicated, NIRS software used to collect, store, view, and analyze all necessary data. Here, we present the basic principle of data analysis within OxySoft itself and show a simple example of how to read in data, preprocess the data (filtering only), average over trials and over subjects and plot the final result in a graph. Finally, we will show how to get the data into a format suited for statistical analysis.

fNIRS analysis toolbox series – Introduction

In the coming months, we will highlight several toolboxes that are used by fNIRS researchers. A list of available toolboxes is compiled by the society for functional Near Infrared Spectroscopy. There are many toolboxes, each with its own strengths and specializations.

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