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fnirs system data processing software  (Shimadzu Corporation)


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    Structured Review

    Shimadzu Corporation fnirs system data processing software
    Fnirs System Data Processing Software, supplied by Shimadzu Corporation, used in various techniques. Bioz Stars score: 99/100, based on 7932 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fnirs+system+data+processing+software/LabSolutions+Series/pmc12480887-151-8-14
    Average 99 stars, based on 7932 article reviews
    fnirs system data processing software - by Bioz Stars, 2026-10
    99/100 stars

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    Software:

    Article Title: Effects of robot assisted mirror therapy on motor function and cortical activation in patients with right hemisphere damage
    Article Snippet: .. The fNIRS data were preprocessed and analyzed with fNIRS system data processing software (LIGHTNIRS, Shimadzu Corporation, Japan, Available from: https://www.shimadzu.com.cn/an/products/software-informatics/labsolutions-series/labsolutions-ir/index.html ) as follows: (1) Channels with significant motor artifacts were discarded, and the signals from the left and right brain regions (10 channels on each side) were superimposed and averaged separately. (2) Filter: The signal was passed through a bandpass filter with a frequency band of 0.01–0.08 Hz to remove significant periodic noise components, including heart rate noise (1 Hz), respiration (0.2–0.3 Hz), Meyer wave noise (0.1 Hz), and very low-frequency physiologic fluctuation noise (< 0.01 Hz). (3) Task-based averaging: Relative changes in oxyhemoglobin (Oxy-Hb) concentration were block-averaged (5 blocks × 15–30–15 s trial units). (4) Smoothing and baseline correction: Data were processed with Savitzky–Golay smoothing (window = 5, passes = 1) followed by baseline subtraction using two intervals (-15–0 s and 30–45 s). (5) The centroid value (CV) and integral value (IV) were calculated on the basis of the changes in Oxy-Hb levels. ..

    Concentration Assay:

    Article Title: Effects of robot assisted mirror therapy on motor function and cortical activation in patients with right hemisphere damage
    Article Snippet: .. The fNIRS data were preprocessed and analyzed with fNIRS system data processing software (LIGHTNIRS, Shimadzu Corporation, Japan, Available from: https://www.shimadzu.com.cn/an/products/software-informatics/labsolutions-series/labsolutions-ir/index.html ) as follows: (1) Channels with significant motor artifacts were discarded, and the signals from the left and right brain regions (10 channels on each side) were superimposed and averaged separately. (2) Filter: The signal was passed through a bandpass filter with a frequency band of 0.01–0.08 Hz to remove significant periodic noise components, including heart rate noise (1 Hz), respiration (0.2–0.3 Hz), Meyer wave noise (0.1 Hz), and very low-frequency physiologic fluctuation noise (< 0.01 Hz). (3) Task-based averaging: Relative changes in oxyhemoglobin (Oxy-Hb) concentration were block-averaged (5 blocks × 15–30–15 s trial units). (4) Smoothing and baseline correction: Data were processed with Savitzky–Golay smoothing (window = 5, passes = 1) followed by baseline subtraction using two intervals (-15–0 s and 30–45 s). (5) The centroid value (CV) and integral value (IV) were calculated on the basis of the changes in Oxy-Hb levels. ..

    Blocking Assay:

    Article Title: Effects of robot assisted mirror therapy on motor function and cortical activation in patients with right hemisphere damage
    Article Snippet: .. The fNIRS data were preprocessed and analyzed with fNIRS system data processing software (LIGHTNIRS, Shimadzu Corporation, Japan, Available from: https://www.shimadzu.com.cn/an/products/software-informatics/labsolutions-series/labsolutions-ir/index.html ) as follows: (1) Channels with significant motor artifacts were discarded, and the signals from the left and right brain regions (10 channels on each side) were superimposed and averaged separately. (2) Filter: The signal was passed through a bandpass filter with a frequency band of 0.01–0.08 Hz to remove significant periodic noise components, including heart rate noise (1 Hz), respiration (0.2–0.3 Hz), Meyer wave noise (0.1 Hz), and very low-frequency physiologic fluctuation noise (< 0.01 Hz). (3) Task-based averaging: Relative changes in oxyhemoglobin (Oxy-Hb) concentration were block-averaged (5 blocks × 15–30–15 s trial units). (4) Smoothing and baseline correction: Data were processed with Savitzky–Golay smoothing (window = 5, passes = 1) followed by baseline subtraction using two intervals (-15–0 s and 30–45 s). (5) The centroid value (CV) and integral value (IV) were calculated on the basis of the changes in Oxy-Hb levels. ..



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    The <t>fNIRS</t> montage used in the experiment. ( A ) fNIRS channels (yellow label), LEDs (red), and detectors (magenta) onto a head model showing the coverage on the prefrontal areas. ( B ) LEDs (red), detectors (blue), and the fNIRS channels (green line) location on a standard 10–20 EEG system. Optode maps and figures were generated using <t>nirsLAB</t> <t>software.</t>
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    Image Search Results


    The fNIRS montage used in the experiment. ( A ) fNIRS channels (yellow label), LEDs (red), and detectors (magenta) onto a head model showing the coverage on the prefrontal areas. ( B ) LEDs (red), detectors (blue), and the fNIRS channels (green line) location on a standard 10–20 EEG system. Optode maps and figures were generated using nirsLAB software.

    Journal: Sensors (Basel, Switzerland)

    Article Title: The Validation of a Portable Functional NIRS System for Assessing Mental Workload

    doi: 10.3390/s21113810

    Figure Lengend Snippet: The fNIRS montage used in the experiment. ( A ) fNIRS channels (yellow label), LEDs (red), and detectors (magenta) onto a head model showing the coverage on the prefrontal areas. ( B ) LEDs (red), detectors (blue), and the fNIRS channels (green line) location on a standard 10–20 EEG system. Optode maps and figures were generated using nirsLAB software.

    Article Snippet: We processed the raw fNIRS data using a traditional fNIRS signal processing pipeline on our MATLAB-based fNIRS data processing software to retain the noise-free low-frequency fNIRS signal (0.01 and 0.2 Hz).

    Techniques: Generated, Software