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waveform processing and analysis algorithm matlab r2009b  (MathWorks Inc)


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    MathWorks Inc waveform processing and analysis algorithm matlab r2009b
    Waveform Processing And Analysis Algorithm Matlab R2009b, 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/waveform+algorithm/pm20957746-49-29-37
    Average 90 stars, based on 1 article reviews
    waveform processing and analysis algorithm matlab r2009b - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: The Role of Prefrontal and Posterior Parietal Cortex in Generating Multiple Step Saccades.
    Article Snippet: While multiple step saccades (MSS) are occasionally reported in the healthy population, they are more evident in patients with Parkinson’s disease (PD).. Therefore, MSS has been suggested as a biological marker for the diagnosis of PD.. However, the lack of clarity on the neural mechanism underlying the generation of MSS largely impedes their application in the clinic.

    Article Title: Detection of radiosensitive subpopulations ex-vivo with Raman microspectroscopy
    Article Snippet: All post processing was performed using Matlab version 7.9.0 (R2009b; Mathworks, USA) using the PLS-Toolbox version 6.51 (Eigenvector Research Inc.) and in-house algorithms.

    Article Title: Scanner-Independent MyoMapNet for Accelerated Cardiac MRI T 1 Mapping Across Vendors and Field Strengths.
    Article Snippet: Background: In cardiac T1 mapping, a series of T1-weighted (T1w) images are collected and numerically fitted to a two or three-parameter model of the signal recovery to estimate voxel-wise T1 values.. To reduce the scan time, one can collect fewer T1w images, albeit at the cost of precision or/and accuracy.. Recently, the feasibility of using a neural network instead of conventional twoor three-parameter fit modeling has been demonstrated.

    Article Title: Astrocytes induce desynchronization and reduce predictability in neuron–astrocyte networks cultured on microelectrode arrays
    Article Snippet: The action potential spike cut-outs, i.e. waveforms, were extracted and sorted with a software tool called Wave_clus for MATLAB (R2009b or higher) [ ].

    Article Title: Lymph Node Staging by CT Texture Analysis in Patients with Sigmoid Cancer
    Article Snippet: The entire image analysis algorithm was processed using the internal Matrix Laboratory (MATLAB) software (version R2009b; MathWorks, MA).

    Article Title: Amygdala‐related electroencephalogram neurofeedback as add‐on therapy for treatment‐resistant childhood sexual abuse posttraumatic stress disorder: feasibility study
    Article Snippet: Preprocessing algorithm and signal calculation models were compiled from MATLAB R2009b (The MathWorks, Inc.) to Microsoft.NET in order to be executed within the Brain Vision RecView EEG Recorder system.

    Article Title: Helium Ion Therapy for Advanced Juvenile Nasopharyngeal Angiofibroma
    Article Snippet: Statistical analysis was conducted using MATLAB (R2009b, The MathWorks Inc., Natick, MA, USA).

    Activity Assay:

    Article Title: Amygdala-related electroencephalogram neurofeedback as add-on therapy for treatment-resistant childhood sexual abuse posttraumatic stress disorder: feasibility study.
    Article Snippet: .. See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense time-frequency bin is then multiplied by a predefined weight and summed to a final estimate of the current fMRI activity.33 Preprocessing algorithm and signal calculation models were compiled from MATLAB R2009b (The MathWorks, Inc.) to Microsoft.NET in order to be executed within the Brain Vision RecView EEG Recorder system. .. Data were then transferred to a MATLAB.NET-compiled DLL that calculated the value of the targeted signal power every 3 s. During each ‘Regulate’ condition, an amyg-EFP sample was generated every 3 s and normalized to the distribution of the EFP samples acquired during the preceding ‘Watch’ condition according to the following formula: ZEFP 1⁄4EFPRegulate μWatch σWatch where μWatch and σWatch are the average and standard deviation of the ‘Watch’ condition samples, respectively.



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