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find peaks function  (MathWorks Inc)


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    MathWorks Inc find peaks function
    Find Peaks Function, 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/find+peaks+function/pmc10998601__pnas__2321430121__sapp-12-16-13
    Average 90 stars, based on 1 article reviews
    find peaks function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Assessing storm surge model performance: what error indicators can measure the model's skill?
    Article Snippet: A lower MADc value indicates better agreement between simulated and observed values, reflecting higher accuracy and reliability of the simulation model. To quantify phase errors between observations and simulations, peaks in the hourly time series were identified using MATLAB’s “find peaks” function for both observed and simulated data.

    Article Title: Optokinetic response in D. melanogaster reveals the nature of common repellent odorants
    Article Snippet: As reported in the Methods, we identified the HOKNs by tagging the peaks in the raw tracks of the head position with the ‘ find peaks ’ function in MATLAB and extracted the velocities of the slow phase ((peak location + 18 frames)/time) and the fast phase ((peak location − 5 frames)/time, not analysed).

    Article Title: Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within Irregularity.
    Article Snippet: The detection of the R peaks was performed in a multi-step approach, where the R peaks were enhanced by the Maximal Overlap Discrete Wavelet Transform (MODWT) from the Wavelet Toolbox from MATLAB® (version 9.12.0.1927505) and the find peaks function from the Signal Processing Toolbox from MATLAB® (version 9.12.0.1927505) was used in three steps to detect the R peaks [15].

    Article Title: Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within Irregularity.
    Article Snippet: Sensors 2023, 23, x FOR PEER REVIEW 3 of 13 Overlap Discrete Wavelet Transform (MODWT) from the Wavelet Toolbox from MATLAB® (version 9.12.0.1927505) and the find peaks function from the Signal Processing Toolbox from MATLAB® (version 9.12.0.1927505) was used in three steps to detect the R peaks [15].

    Article Title:
    Article Snippet: Analysis of calcium response peaks in gcy-8 gcy-23 gcy-18(5A) animals was performed in MATLAB using the find peaks function.

    Article Title: Revealing the mechanism and function underlying pairwise temporal coupling in collective motion
    Article Snippet: The minima of the speeds (the start of each tailbeat) were detected using the find peaks function in MATLAB on − v . Minima that were above 5 cm/s were discarded as outliers.

    Article Title: Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within Irregularity
    Article Snippet: The detection of the R peaks was performed in a multi-step approach, where the R peaks were enhanced by the Maximal Overlap Discrete Wavelet Transform (MODWT) from the Wavelet Toolbox from MATLAB ® (version 9.12.0.1927505) and the find peaks function from the Signal Processing Toolbox from MATLAB ® (version 9.12.0.1927505) was used in three steps to detect the R peaks [ ].

    Article Title: Validation of Low-Cost IMUs for Telerehabilitation Exercises.
    Article Snippet: Peaks related to the different exercises were detected along the axis where the movement of the analyzed exercise was most evident (e.g., antero-posterior direction, y-axis, for upper and lower limb exercises) using the “find peaks” function, whose settings were selected through an iterative testing process to identify the parameter combination that enabled the detection of the highest number of correct repetitions across the various exercises: “minimum peak width” = 0.2, “minimum peak prominence” = 0.1–0.2, and “minimum distance between peaks” = 30–50 samples (MATLAB, R2021, MathWorks Inc., Natik, MA, USA).



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    KEY RESOURCES TABLE

    Journal: Neuron

    Article Title: Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

    doi: 10.1016/j.neuron.2023.04.028

    Figure Lengend Snippet: KEY RESOURCES TABLE

    Article Snippet: Local maxima in 2D were identified using the “find peaks” function of MATLAB 2019a, inspired by the Fast 2D peak finder ( https://www.mathworks.com/matlabcentral/fileexchange/37388-fast-2d-peak-finder ), MATLAB Central File Exchange.

    Techniques: Virus, Recombinant, Plasmid Preparation, Software