rbf neural networks containing s functions simulink model Search Results


aerospace blockset  (MathWorks Inc)
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MathWorks Inc aerospace blockset
Aerospace Blockset, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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simulink model  (MathWorks Inc)
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MathWorks Inc simulink model
Simulink Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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eeg data  (MathWorks Inc)
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MathWorks Inc eeg data
Real-time (500 Hz) signal processing pipeline. (A) The latest sample of electroencephalography <t>(EEG)</t> <t>data</t> were appended to a buffer of 500 ms length. (B) Stimulation artifact source separation (SASS) was applied to the data to reject artifacts of closed-loop amplitude-modulated transcranial alternating current stimulation (CLAM-tACS). (C) A Laplacian (Hjorth) spatial filter centered on the parieto-occipital cortex was computed to obtain a virtual electrode from the data. (D) The endpoint-corrected Hilbert transform was applied to the data to remove broadband stimulation artifacts and obtain a real-time phase estimate of parieto-occipital alpha oscillations (8 – 14 Hz). (E) The real-time phase estimate of alpha oscillations was incremented by φ to obtain the phase of the CLAM-tACS envelope signal. (F) The CLAM- tACS envelope signal was sent to a signal generator, which applied the envelope signal to an 8 kHz carrier signal and sent the resulting waveform to the electric stimulator.
Eeg Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fuzzy logic toolbox  (MathWorks Inc)
96
MathWorks Inc fuzzy logic toolbox
Real-time (500 Hz) signal processing pipeline. (A) The latest sample of electroencephalography <t>(EEG)</t> <t>data</t> were appended to a buffer of 500 ms length. (B) Stimulation artifact source separation (SASS) was applied to the data to reject artifacts of closed-loop amplitude-modulated transcranial alternating current stimulation (CLAM-tACS). (C) A Laplacian (Hjorth) spatial filter centered on the parieto-occipital cortex was computed to obtain a virtual electrode from the data. (D) The endpoint-corrected Hilbert transform was applied to the data to remove broadband stimulation artifacts and obtain a real-time phase estimate of parieto-occipital alpha oscillations (8 – 14 Hz). (E) The real-time phase estimate of alpha oscillations was incremented by φ to obtain the phase of the CLAM-tACS envelope signal. (F) The CLAM- tACS envelope signal was sent to a signal generator, which applied the envelope signal to an 8 kHz carrier signal and sent the resulting waveform to the electric stimulator.
Fuzzy Logic Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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aerospace toolbox contains wind model blocks  (MathWorks Inc)
93
MathWorks Inc aerospace toolbox contains wind model blocks
Real-time (500 Hz) signal processing pipeline. (A) The latest sample of electroencephalography <t>(EEG)</t> <t>data</t> were appended to a buffer of 500 ms length. (B) Stimulation artifact source separation (SASS) was applied to the data to reject artifacts of closed-loop amplitude-modulated transcranial alternating current stimulation (CLAM-tACS). (C) A Laplacian (Hjorth) spatial filter centered on the parieto-occipital cortex was computed to obtain a virtual electrode from the data. (D) The endpoint-corrected Hilbert transform was applied to the data to remove broadband stimulation artifacts and obtain a real-time phase estimate of parieto-occipital alpha oscillations (8 – 14 Hz). (E) The real-time phase estimate of alpha oscillations was incremented by φ to obtain the phase of the CLAM-tACS envelope signal. (F) The CLAM- tACS envelope signal was sent to a signal generator, which applied the envelope signal to an 8 kHz carrier signal and sent the resulting waveform to the electric stimulator.
Aerospace Toolbox Contains Wind Model Blocks, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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stateflow models  (MathWorks Inc)
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Fig. 3.1 Model of single moving mass in <t>Simulink/Stateflow.</t>
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hardware description language hdl coder toolbox  (MathWorks Inc)
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Fig. 3.1 Model of single moving mass in <t>Simulink/Stateflow.</t>
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fractional order controller blocks  (MathWorks Inc)
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Fig. 3.1 Model of single moving mass in <t>Simulink/Stateflow.</t>
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gaussian noise  (MathWorks Inc)
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MathWorks Inc gaussian noise
Fig. 3.1 Model of single moving mass in <t>Simulink/Stateflow.</t>
Gaussian Noise, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Real-time (500 Hz) signal processing pipeline. (A) The latest sample of electroencephalography (EEG) data were appended to a buffer of 500 ms length. (B) Stimulation artifact source separation (SASS) was applied to the data to reject artifacts of closed-loop amplitude-modulated transcranial alternating current stimulation (CLAM-tACS). (C) A Laplacian (Hjorth) spatial filter centered on the parieto-occipital cortex was computed to obtain a virtual electrode from the data. (D) The endpoint-corrected Hilbert transform was applied to the data to remove broadband stimulation artifacts and obtain a real-time phase estimate of parieto-occipital alpha oscillations (8 – 14 Hz). (E) The real-time phase estimate of alpha oscillations was incremented by φ to obtain the phase of the CLAM-tACS envelope signal. (F) The CLAM- tACS envelope signal was sent to a signal generator, which applied the envelope signal to an 8 kHz carrier signal and sent the resulting waveform to the electric stimulator.

Journal: bioRxiv

Article Title: Working memory enhancement using real-time phase-tuned transcranial alternating current stimulation

doi: 10.1101/2024.05.31.596854

Figure Lengend Snippet: Real-time (500 Hz) signal processing pipeline. (A) The latest sample of electroencephalography (EEG) data were appended to a buffer of 500 ms length. (B) Stimulation artifact source separation (SASS) was applied to the data to reject artifacts of closed-loop amplitude-modulated transcranial alternating current stimulation (CLAM-tACS). (C) A Laplacian (Hjorth) spatial filter centered on the parieto-occipital cortex was computed to obtain a virtual electrode from the data. (D) The endpoint-corrected Hilbert transform was applied to the data to remove broadband stimulation artifacts and obtain a real-time phase estimate of parieto-occipital alpha oscillations (8 – 14 Hz). (E) The real-time phase estimate of alpha oscillations was incremented by φ to obtain the phase of the CLAM-tACS envelope signal. (F) The CLAM- tACS envelope signal was sent to a signal generator, which applied the envelope signal to an 8 kHz carrier signal and sent the resulting waveform to the electric stimulator.

Article Snippet: A Speedgoat Performance Real-Time Target Machine (Speedgoat GmbH, CH) received a real-time UDP stream containing EEG data and executed the signal processing pipeline ( ) as a Simulink Real-Time R2022a (Mathworks Ltd, USA) multi-rate model. At a rate of 1 Hz, the stimulation artifact source separation (SASS) projection matrix was computed by joint diagonalization of the covariance matrix obtained from data recorded in the presence of CLAM-tACS (past 25 s of continuous stimulation data) and the covariance matrix computed from data recorded in absence of CLAM-tACS (7.5 min before stimulation) [ ].

Techniques:

Fig. 3.1 Model of single moving mass in Simulink/Stateflow.

Journal: Foundations and Trends® in Electronic Design Automation

Article Title: Languages and Tools for Hybrid Systems Design

doi: 10.1561/1000000001

Figure Lengend Snippet: Fig. 3.1 Model of single moving mass in Simulink/Stateflow.

Article Snippet: When a Simulink project contains Stateflow models, the Stateflow models are stored in a separate section in the mdl file.

Techniques:

Fig. 3.2 Model of the three point masses in Simulink/Stateflow.

Journal: Foundations and Trends® in Electronic Design Automation

Article Title: Languages and Tools for Hybrid Systems Design

doi: 10.1561/1000000001

Figure Lengend Snippet: Fig. 3.2 Model of the three point masses in Simulink/Stateflow.

Article Snippet: When a Simulink project contains Stateflow models, the Stateflow models are stored in a separate section in the mdl file.

Techniques:

Fig. 3.3 Model of the three point masses automata in Simulink/Stateflow.

Journal: Foundations and Trends® in Electronic Design Automation

Article Title: Languages and Tools for Hybrid Systems Design

doi: 10.1561/1000000001

Figure Lengend Snippet: Fig. 3.3 Model of the three point masses automata in Simulink/Stateflow.

Article Snippet: When a Simulink project contains Stateflow models, the Stateflow models are stored in a separate section in the mdl file.

Techniques: