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!
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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.
Artinis Support Center
Did you ever wish you could get a manual or a driver at an instant? Have you faced a technical issue that couldn’t wait until the next day? Maybe you felt it would be nice to be able to communicate with other Artinis users and learn from their experiences?
Then you’ll be happy to learn that we are soon opening a support center for the benefit all of our customers. Our goal with the site is that you, as our customer, can always get the support you need, when you need it.
Non-invasive evaluation of the endothelial and microvascular dysfunction induced by COVID-19
To provide professional intensive care specifically fit to cure COVID-19, hospitals need the appropriate space and equipment. Health care professionals have been working with limited resources in extreme environments but knowledge and experience is rapidly expanding. Several institutes have been implementing NIRS to study the endothelial and microvascular dysfunction to support the development of targeted and individualized therapies.
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.
Brite MKII: Wearable, Highly-Flexible, Optimized, Accurate NIRS!
Meet the latest Artinis wearable NIRS system, designed for brain imaging in a wide range of settings and populations. Optical imaging was never so easy!
Heart rate extraction from NIRS signal
A commonly asked question is “What are the advantages of NIRS over EEG?”. NIRS signals are, in general, less susceptible to artifacts like motion artifacts or electrical noises. There are, however, also physiological components such as heartbeat, breathing, and Mayer-waves present in the signal. Although not an artifact, these components are usually filtered out since they are not useful in determining the pure hemodynamic response signal of the brain. Nevertheless, there is interesting information in the heartbeat. In this blog, we talk about taking advantage of the heartbeat in the NIRS signals and extracting the heart rate signal from them.