custom built matlab routine (MathWorks Inc)

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MathWorks Inc custom built matlab routine
Custom Built Matlab Routine, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1099 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/speech+processing+toolbox/Signal+Processing+Toolbox/pm41366409-83-15-16
Average 98 stars, based on 1099 article reviews

custom built matlab routine - by Bioz Stars, 2026-10

98/100 stars

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Article Title: Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23 Na/ 1 H pTx MRI With Motion and Anatomy-Based B 1 Correction.
Article Snippet: Within the expected cardiac frequency range (0.5–2 Hz), the dominant peak was identified using MATLAB’s findpeaks function (Signal Processing Toolbox), and its prominence (pcard), center frequency (fcard), and width (wcard) were extracted.

Article Title: Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23 Na/ 1 H pTx MRI With Motion and Anatomy-Based B 1 Correction.
Article Snippet: For each 1H receive channel, the frequency power spectrum of the k0 navigator signal was computed and denoised using a Savitzky–Golay filter [25] (sgolayfilt in MATLAB’s Signal Processing Toolbox).

Article Title: Reliable multimodal signals for in-vehicle heartbeat detection
Article Snippet: We generate the ground truth with the STAPLE algorithm from Kashif et al.26, implemented in MATLAB (version R2023b, The MathWorks, Natick, United States) with the Signal Processing Toolbox.

Article Title: Age-related alterations in trunk extensor force control during isometric and isokinetic contractions.
Article Snippet: In this study, MSC was computed using the mscohere function of the MATLAB Signal Processing Toolbox.

Article Title: Reduced central alpha power at rest is associated with the risk of alcohol-induced blackout and frequency of non-REM parasomnia episodes in adults.
Article Snippet: 2.1.4 | Resting- state EEG data analysis Cleaned EEG datasets were analyzed using built- in MATLAB functions, the Fieldtrip toolbox for MATLAB (Oostenveld et al., 2011), the Signal Processing toolbox for MATLAB, and the fitting oscillations & 1/f (FOOOF) toolbox for python using a MATLAB wrapper (Donoghue et al., 2020).

Sampling:

Article Title: Graph empirical mode decomposition and multiscale feature extraction for EEG-based classification of Alzheimer's disease and frontotemporal dementia.
Article Snippet: Analyses were performed in MATLAB, using built-in functions from the Signal Processing, Wavelet, and Statistics and Machine Learning Toolboxes. .. The EEG signals were filtered at a 128 Hz sampling rate by MATLAB’s Signal Processing Toolbox with a 4th-order Butterworth band-pass filter (0.5–40 Hz) applied via the functions butter and filtfilt, followed by downsampling by a factor of 5 via decimate with the option ‘fir’. .. The channel graph was formed in MATLAB using corrcoef to calculate the inter-channel Pearson correlation coefficients as elements of a fully weighted adjacency matrix with the diagonal set to zero and without thresholding or sparsification.

Software:

Article Title: Htr3a receptors control attenuation of fear responses by modulating the corticolimbic activity and synchronization
Article Snippet: .. Data were down sampled to 1000Hz, band pass filtered (1-100 Hz) and analyzed using custom-written script based on Matlab (R2017A, MathWorks) signal processing toolbox along with functions in Chronux open-source software package. ..

Electroencephalography:

Article Title: Patterns of Alpha-band Power Reflect Prioritization of the Most Recently Encoded Location in a Working Memory Sequence
Article Snippet: .. Next, we applied a Hilbert transform (MATLAB Signal Processing Toolbox) to obtain the complex analytic signal of the EEG data for each trial. ..

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