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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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.
The importance of being precise: using PsychoPy for stimulus presentation and OxySoft for triggering
You’ve got your NIRS device ready and have already thought of the protocol for your next experiment. You have a clear picture of it in your head: you can see the subjects with the NIRS cap on facing a PC monitor showing each of the instructions and stimuli at the exact timing you were aiming for. Timestamps for each event are automatically saved and once the session is over, you are ready to go for the analysis. Sounds nice, right? How simple is it, though? Well, turns out it’s quite simple, actually. You just need the right tools, and the combination of PsychoPy and Oxysoft is a perfect match!
Using fNIRS to study emotions in virtual reality environments
Have you ever watched a horror movie or read a really gripping thriller that made you skip a beat or two at the climax? If you know what I’m talking about, then we can agree on something: our minds are connected to our bodies in such a way that the emotions we experience cause physiological changes on us.
PROMPT project: towards personalized treatment of mobility dysfunction
In this project we will focus on one of the most disabling symptoms of Parkinson’s disease, freezing of gait – episodic absence or reduction in the ability to produce an effective stepping in spite of the intention to walk (Nutt et al., 2011).