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matlab function wcoherence  (MathWorks Inc)


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    MathWorks Inc matlab function wcoherence
    Matlab Function Wcoherence, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/wcoherence+function/pm40638986-113-11-11
    Average 90 stars, based on 1 article reviews
    matlab function wcoherence - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: The effect of rhythmic stimuli with spatial information on sensorimotor synchronization: an EEG and EMG study
    Article Snippet: Therefore, the “wcoherence” function in MATLAB was used to perform the CMC analysis to obtain wavelet coherence for each trial.

    Article Title: Are older adults more deceived by false advertising? Evidence from intra- and inter-brain connectivity in the prefrontal cortex during face-to-face deceptive sales.
    Article Snippet: WTC(m, s) = |⟨s−1Wij(m, s)⟩| 2 |⟨s−1Wi(m, s)⟩|2|⟨s−1Wj(m, s)⟩|2 We utilized the MATLAB wcoherence function to identify wavelet coherence values.

    Article Title: Exploring Optimal Complexity for Water Stress Representation in Terrestrial Carbon Models: A Hybrid‐Machine Learning Model Approach
    Article Snippet: Subsequently, we conducted the analysis utilizing the “wcoherence” function within the “wavelet” package of Matlab R2022a.

    Article Title: Magnetoencephalographic detection of the epileptic activity localized in the hippocampus using stereotactic electroencephalography and magnetoencephalography simultaneously.
    Article Snippet: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.. © 2025 The Author(s).. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.

    Article Title: Association of gait recovery with intramuscular coherence of the Vastus medialis muscle during assisted gait in subacute stroke.
    Article Snippet: 1 Department of Neurorehabilitation Laboratory, Graduate School of Health Sciences, Kio University, 4-2-2 Umaminaka, Koryo, Kitakatsuragi-gun, Nara 635-0832, Japan 2 Department of Therapy, Takarazuka Rehabilitation Hospital, Medical Corporation SHOWAKAI, 22-2 Tsurunoso, Takarazuka-shi 665-0833, Hyogo, Japan 3 Department of Rehabilitation, Faculty of Health Sciences, Nihon Fukushi University, 26-2 Higashihaemi-cho, Handa 475-0012, Aichi, Japan 4 Neurorehabilitation Research Center, Kio University, 4-2-2 Umaminaka, Koryo, Kitakatsuragigun, Nara 635-0832, Japan 5 Department of Rehabilitation, Nakazuyagi Hospital (HIMAWARIKAI Medical Corporation), Tokushima, Japan 6 Department of Medical, Takarazuka Rehabilitation Hospital, Medical Corporation SHOWAKAI, 22-2 Tsurunoso, Takarazuka-shi 665-0833, Hyogo, Japan Abstract Objectives We aimed to investigate the effect of descending neural drive during assisted gait training on gait recovery in non-ambulatory stroke patients and the effect of 1-month gait training on the descending neural drive.. Methods Twenty stroke patients unable to walk independently were included in this longitudinal study.. Intermuscular coherence analysis (beta band; 15–30 Hz) was performed on electromyography signals recorded from the proximal and distal segments of the vastus medialis (VM) and lateral hamstring (LH) on the paretic side (i.e., VM-VM, VM-LH, and LH-LH coherence) during assisted gait used knee-ankle foot orthosis.

    Article Title: A computational and multi-brain signature for aberrant social coordination in schizophrenia.
    Article Snippet: To calculate coherence values between each combination of ROIs, we used the wcoherence function in MATLAB 2022a.

    Article Title: Dyad averaged BMI-dependent interbrain synchrony during continuous mutual prediction in social coordination.
    Article Snippet: Obesity is linked to notable psychological risks, particularly in social interactions where individuals with high body mass index (BMI) often encounter stigmatization and difficulties in forming and maintaining social connections.. Although awareness of these issues is growing, there is a lack of research on real-time, dynamic interactions involving dyads with various BMI levels.. To address this gap, our study employed a joint finger-tapping task, where participant dyads engaged in coordinated activity while their brain activity was monitored using functional near-infrared spectroscopy (fNIRS).

    Article Title: Investigating short windows of interbrain synchrony: a step towards fNIRS-based hyperfeedback
    Article Snippet: Wavelet transform coherence was estimated using the “wcoherence” function from the MATLAB wavelet toolbox, which follows the work of Grinsted et al. (2004).



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