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!

Motion artefacts in (f)NIRS — Not a problem, but not to be overlooked
Brite, NIRS data analysis Sophie Apprich Brite, NIRS data analysis Sophie Apprich

Motion artefacts in (f)NIRS — Not a problem, but not to be overlooked

Due to its portability and ease of use, fNIRS is applied in a variety of research fields, especially in study designs involving movement. Although fNIRS is relatively insensitive to motion artefacts, they still can occur and might influence signal quality. In this first part of our blogpost series on motion artefacts in NIRS, we explain what movement artefacts are and how they can be recognized.

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Non-cerebral physiological interference in functional Near-Infrared Spectroscopy (fNIRS), a CURSE or BLESSING?
General, PortaLite, NIRS data analysis Sophie Apprich General, PortaLite, NIRS data analysis Sophie Apprich

Non-cerebral physiological interference in functional Near-Infrared Spectroscopy (fNIRS), a CURSE or BLESSING?

Our fNIRS devices offer a high sampling rate, enabling extraction of additional physiological parameters, including respiratory rate (RR). These parameters can provide important additional information that can be used as adjunction to cerebral activity measures. In this blogpost, the possibility of RR estimation from fNIRS in a resting state is discussed in the form of a case study.

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Multimodal fNIRS-EEG measurements — Analysis approaches
NIRS data analysis, Multimodality Artinis Medical Systems NIRS data analysis, Multimodality Artinis Medical Systems

Multimodal fNIRS-EEG measurements — Analysis approaches

When it comes to deciding on an appropriate data analysis approach in multimodal fNIRS-EEG measurements, the soundest consideration factors ultimately depend on the research question at hand. Therefore, the analysis steps may vary from one study to another. Nonetheless, they can broadly be classified into two strategies: parallel data analysis and informed data analysis.

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