In Artinis NIRS blog, you will find the latest trends in (f)NIRS, NIRS studies and applications, tutor from the leaders of near infrared spectroscopy, not to mention detailed insights and tips and tricks for your research!

Assessing NIRS signal quality – Implementation of the Signal Quality Index (SQI)
General, NIRS data analysis Sophie Apprich General, NIRS data analysis Sophie Apprich

Assessing NIRS signal quality – Implementation of the Signal Quality Index (SQI)

Achieving good signal quality is crucial for (f)NIRS data acquisition and analysis, but often difficult to determine. Therefore, we developed an algorithm named SQI (Signal Quality Index) which rates NIRS signal quality. Read this blogpost to learn more on how this SQI is specified and how it can be implemented in your research.

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fNIRS analysis toolbox series – Homer
NIRS data analysis Artinis Medical Systems NIRS data analysis Artinis Medical Systems

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.

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fNIRS analysis toolbox series – FieldTrip
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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.

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fNIRS analysis toolbox series – Brain AnalyzIR
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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.

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fNIRS analysis toolbox series – NIRSTORM
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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.

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fNIRS analysis toolbox series – OxySoft
NIRS data analysis, OxySoft Artinis Medical Systems NIRS data analysis, OxySoft Artinis Medical Systems

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.

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How to: Start a measurement and do a short analysis
General, Brite, OctaMon, OxyMon, OxySoft, PortaLite, PortaMon Artinis Medical Systems General, Brite, OctaMon, OxyMon, OxySoft, PortaLite, PortaMon Artinis Medical Systems

How to: Start a measurement and do a short analysis

If you don’t have time to read our extensive manuals, but would still like some quick pointers on how to start a measurement with one of our state of the art fNIRS devices… you’re in the right place! In this blog we will get you set-up in no time and discuss some of the analysis options our proprietary software, OxySoft, offers.

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