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A Review on the Use of Wearable Functional Near-Infrared Spectroscopy in Naturalistic Environments
Paola Pinti1,2, Clarisse Aichelburg2, Sam Gilbert2
1Department of Medical Physics and Biomedical Engineering, University College London, UK.
Wearable functional Near-Infrared Spectroscopy (fNIRS) enables brain imaging in real-life settings, revolutionizing cognitive neuroscience. This review explores studies, challenges, and future directions for this technology in naturalistic environments.
Area of Science:
- Neuroscience
- Cognitive Science
- Biomedical Engineering
Background:
- Conventional functional Near-Infrared Spectroscopy (fNIRS) has established its utility in diverse brain imaging studies.
- Miniaturized, wireless, and wearable fNIRS devices offer unprecedented opportunities for cognitive research.
- Wearable fNIRS overcomes limitations of traditional neuroimaging, enabling studies in naturalistic environments.
Purpose of the Study:
- To review studies utilizing wearable fNIRS in naturalistic settings within cognitive neuroscience.
- To identify and discuss challenges associated with wearable fNIRS in unrestrained contexts.
- To outline future perspectives for wearable fNIRS applications in cognitive neuroscience.
Main Methods:
- Literature review of studies employing wearable fNIRS in naturalistic settings.
- Analysis of challenges and proposed solutions for data acquisition and interpretation.
- Exploration of emerging applications and future research directions.
Main Results:
- Wearable fNIRS facilitates brain activity monitoring during everyday activities, expanding research possibilities.
- Key challenges include motion artifacts, signal quality, and data interpretation in dynamic environments.
- Solutions involve advanced signal processing techniques and innovative hardware designs.
Conclusions:
- Wearable fNIRS represents a significant advancement for cognitive neuroscience, enabling ecologically valid research.
- Addressing current challenges will further enhance the accuracy and applicability of this technology.
- Future research holds immense potential for understanding brain function in real-world scenarios.
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