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delay differential analysis (dda)  (Nonlinear Dynamics)

 
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    Structured Review

    Nonlinear Dynamics delay differential analysis (dda)
    Spindle detection. The lowest row in the plot shows the data with <t>the</t> <t>spindles</t> in red, as marked by a human expert. In the middle row, a <t>DDA</t> spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.
    Delay Differential Analysis (Dda), supplied by Nonlinear Dynamics, 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/result/delay differential analysis (dda)/product/Nonlinear Dynamics
    Average 90 stars, based on 1 article reviews
    delay differential analysis (dda) - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Delay Differential Analysis for Dynamical Sleep Spindle Detection"

    Article Title: Delay Differential Analysis for Dynamical Sleep Spindle Detection

    Journal: Journal of neuroscience methods

    doi: 10.1016/j.jneumeth.2019.01.009

    Spindle detection. The lowest row in the plot shows the data with the spindles in red, as marked by a human expert. In the middle row, a DDA spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.
    Figure Legend Snippet: Spindle detection. The lowest row in the plot shows the data with the spindles in red, as marked by a human expert. In the middle row, a DDA spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.

    Techniques Used:

    Comparison of detection methods for all data
    Figure Legend Snippet: Comparison of detection methods for all data

    Techniques Used: Comparison



    Similar Products

    delay differential analysis (dda)  (Nonlinear Dynamics)
    90
    Nonlinear Dynamics delay differential analysis (dda)
    Spindle detection. The lowest row in the plot shows the data with <t>the</t> <t>spindles</t> in red, as marked by a human expert. In the middle row, a <t>DDA</t> spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.
    Delay Differential Analysis (Dda), supplied by Nonlinear Dynamics, 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/result/delay differential analysis (dda)/product/Nonlinear Dynamics
    Average 90 stars, based on 1 article reviews
    delay differential analysis (dda) - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier
    delay differential analysis dda  (Nonlinear Dynamics)
    86
    Nonlinear Dynamics delay differential analysis dda
    Spindle detection. The lowest row in the plot shows the data with <t>the</t> <t>spindles</t> in red, as marked by a human expert. In the middle row, a <t>DDA</t> spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.
    Delay Differential Analysis Dda, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/delay differential analysis dda/product/Nonlinear Dynamics
    Average 86 stars, based on 1 article reviews
    delay differential analysis dda - by Bioz Stars, 2026-05
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Spindle detection. The lowest row in the plot shows the data with the spindles in red, as marked by a human expert. In the middle row, a DDA spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.

    Journal: Journal of neuroscience methods

    Article Title: Delay Differential Analysis for Dynamical Sleep Spindle Detection

    doi: 10.1016/j.jneumeth.2019.01.009

    Figure Lengend Snippet: Spindle detection. The lowest row in the plot shows the data with the spindles in red, as marked by a human expert. In the middle row, a DDA spindle detection output (trained on one channel from a different subject) is shown. We also show the spectrograms (in the top row) for reference. The gray-shaded regions indicate the width of the time windows used for computing both the DDA features and the spectrogram (650 ms). Since we plot the time points on the x-axis for the start points of the sliding windows, all points within a shaded region use windows that include some amount of spindle data.

    Article Snippet: Here, we apply delay differential analysis (DDA), a time-domain technique based on nonlinear dynamics to detect sleep spindles in human intracranial sleep data, including laminar electrode, stereoelectroencephalogram (sEEG), and electrocorticogram (ECoG) recordings.

    Techniques:

    Comparison of detection methods for all data

    Journal: Journal of neuroscience methods

    Article Title: Delay Differential Analysis for Dynamical Sleep Spindle Detection

    doi: 10.1016/j.jneumeth.2019.01.009

    Figure Lengend Snippet: Comparison of detection methods for all data

    Article Snippet: Here, we apply delay differential analysis (DDA), a time-domain technique based on nonlinear dynamics to detect sleep spindles in human intracranial sleep data, including laminar electrode, stereoelectroencephalogram (sEEG), and electrocorticogram (ECoG) recordings.

    Techniques: Comparison