Results 11 to 20 of about 9,409 (170)
Somatosensory Response to Trigeminal Stimulation: A Functional Near-Infrared Spectroscopy (fNIRS) Study [PDF]
Scientific Reports, 2018 Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique measuring relative hemodynamic changes in superficial cortical structures. It has successfully been applied to detect a hemodynamic response in the somatosensory cortex evoked ...
Christine I. Hucke +3 more
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Clinical application of functional near-infrared spectroscopy for burn assessment
Frontiers in Bioengineering and Biotechnology, 2023 Significance: Early assessment of local tissue oxygen saturation is essential for clinicians to determine the burn wound severity.Background: We assessed the burn extent and depth in the skin of the extremities using a custom-built 36-channel functional ...
Yoo Hwan Kim +11 more
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Research progress of functional near-infrared spectroscopy in patients with psychiatric disorders
Forensic Sciences Research, 2021 Functional near-infrared spectroscopy (fNIRS) is a technique of detecting cerebral cortical function by using near-infrared light, which is a multifunctional neuroimaging technique and provides a convenient and efficient detection method in neuroscience.
Fan Chang +5 more
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Functional Near Infrared Spectroscopy (fNIRS) synthetic data generation [PDF]
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 Accurately modelled computer-generated data can be used in place of real-world signals for the design, test and validation of signal processing techniques in situations where real data is difficult to obtain. Bio-signal processing researchers interested in working with fNIRS data are restricted due to the lack of freely available fNIRS data and by the ...
Darren J. Leamy +2 more
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South African Journal of Childhood Education, 2022 Background: Educational research has been conducted mainly by using behavioural approaches. Whilst such methods provide invaluable insights into the field, several important questions such as ‘how do we learn?’ and ‘what mechanisms cause individual ...
Candida Barreto, Mojtaba Soltanlou
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A review on functional near-infrared spectroscopy and application in stroke rehabilitation
Medicine in Novel Technology and Devices, 2021 Functional near-infrared spectroscopy (fNIRS) has gained great interest as a noninvasive modality to study the changes in cerebral hemodynamics related to brain activity.
Congcong Huo +6 more
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Frontiers in Neuroscience, 2020 While non-invasive brain imaging has made substantial contributions to advance human brain science, estimation of individual state is becoming important to realize its applications in society.
Miaomei Lei +3 more
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Quality control and assurance in functional near infrared spectroscopy (fNIRS) experimentation [PDF]
Physics in Medicine and Biology, 2010 Functional near infrared spectroscopy (fNIRS) is a rapidly developing neuroimaging modality for exploring cortical brain behaviour. Despite recent advances, the quality of fNIRS experimentation may be compromised in several ways: firstly, by altering the optical properties of the tissues encountered in the path of light; secondly, through adulteration ...
Orihuela-Espina, F +4 more
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Editorial Special Section on Biomedical Diffuse Optics for the Brain
IEEE Open Journal of Engineering in Medicine and Biology, 2023 This special section collects four articles on the application of diffuse optics to measure cerebral hemodynamics and oxygenation. The possibility of using near-infrared light to collect cerebral hemodynamic and metabolic information through the intact ...
Sergio Fantini
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Measurement of Brain Function of Car Driver Using Functional Near‐Infrared Spectroscopy (fNIRS) [PDF]
Computational Intelligence and Neuroscience, 2009 The aim of this study is to propose a method for analyzing measured signal obtained from functional Near‐Infrared Spectroscopy (fNIRS), which is applicable for neuroimaging studies for car drivers. We developed a signal processing method by multiresolution analysis (MRA) based on discrete wavelet transform.
Hitoshi Tsunashima, Kazuki Yanagisawa
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