fast-fourier algorithm Search Results


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fast fourier transform algorithm  (Wolfram Research)
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algorithm of fast fourier transform(fft) techniques  (Takeda)
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Algorithm Of Fast Fourier Transform(Fft) Techniques, supplied by Takeda, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fast fourier transform and convolution algorithms  (Verlag GmbH)
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fast fourier transform (fft) algorithm bio trend professional  (Biotrend Chemicals)
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fast fourier transform algorithm with a hamming window polyview 2.3  (AstroNova)
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fast fourier transform algorithm of the video image  (IonOptix)
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fast fourier transform algorithm with a hamming window  (Del Mar Reynolds Medical Ltd)
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21-channel icu eeg monitoring with artificial seizure detection and quantitative fast-fourier transform algorithms (qeeg)  (Persyst Development Corporation)
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Persyst Development Corporation 21-channel icu eeg monitoring with artificial seizure detection and quantitative fast-fourier transform algorithms (qeeg)
Displays a <t>QEEG</t> color display showing the seizure detection and high rhythmic run detection on the left hemisphere over approximately 30 minutes <t>of</t> <t>EEG</t> recording. The upper line is the “seizure probability” panel (A), which detects high-frequency events suspicious for seizures. The event triggered the EEG screenshot (see ), which was then sent with this accompanying image. The “R2D2”-rhythmic run detection (label B/C) and display showed a similar seizure detection in the QEEG panel. The left hemisphere R2D2 (B) shows a higher frequency and density of activity compared to the right (C) and coincides with the electrical stimulation artifact. A rhythmic asymmetry spectrogram (D) shows dominance of one side vs. the other side in terms of frequency (left = blue, right = red). The final panel (E) at the bottom is an amplitude EEG (aEEG), which trends the averaged amplitude (in microvolts) of each hemisphere (red = right, blue left) which also increases simultaneously. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
21 Channel Icu Eeg Monitoring With Artificial Seizure Detection And Quantitative Fast Fourier Transform Algorithms (Qeeg), supplied by Persyst Development Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fast fourier transform (fft) algorithm  (Amira Pharmaceuticals)
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Amira Pharmaceuticals fast fourier transform (fft) algorithm
Displays a <t>QEEG</t> color display showing the seizure detection and high rhythmic run detection on the left hemisphere over approximately 30 minutes <t>of</t> <t>EEG</t> recording. The upper line is the “seizure probability” panel (A), which detects high-frequency events suspicious for seizures. The event triggered the EEG screenshot (see ), which was then sent with this accompanying image. The “R2D2”-rhythmic run detection (label B/C) and display showed a similar seizure detection in the QEEG panel. The left hemisphere R2D2 (B) shows a higher frequency and density of activity compared to the right (C) and coincides with the electrical stimulation artifact. A rhythmic asymmetry spectrogram (D) shows dominance of one side vs. the other side in terms of frequency (left = blue, right = red). The final panel (E) at the bottom is an amplitude EEG (aEEG), which trends the averaged amplitude (in microvolts) of each hemisphere (red = right, blue left) which also increases simultaneously. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fast Fourier Transform (Fft) Algorithm, supplied by Amira Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Displays a QEEG color display showing the seizure detection and high rhythmic run detection on the left hemisphere over approximately 30 minutes of EEG recording. The upper line is the “seizure probability” panel (A), which detects high-frequency events suspicious for seizures. The event triggered the EEG screenshot (see ), which was then sent with this accompanying image. The “R2D2”-rhythmic run detection (label B/C) and display showed a similar seizure detection in the QEEG panel. The left hemisphere R2D2 (B) shows a higher frequency and density of activity compared to the right (C) and coincides with the electrical stimulation artifact. A rhythmic asymmetry spectrogram (D) shows dominance of one side vs. the other side in terms of frequency (left = blue, right = red). The final panel (E) at the bottom is an amplitude EEG (aEEG), which trends the averaged amplitude (in microvolts) of each hemisphere (red = right, blue left) which also increases simultaneously. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Epilepsy & Behavior Case Reports

Article Title: Train of four stimulation artifact mimicking a seizure during computerized automated ICU EEG monitoring ☆ ☆☆ ★

doi: 10.1016/j.ebcr.2017.09.002

Figure Lengend Snippet: Displays a QEEG color display showing the seizure detection and high rhythmic run detection on the left hemisphere over approximately 30 minutes of EEG recording. The upper line is the “seizure probability” panel (A), which detects high-frequency events suspicious for seizures. The event triggered the EEG screenshot (see ), which was then sent with this accompanying image. The “R2D2”-rhythmic run detection (label B/C) and display showed a similar seizure detection in the QEEG panel. The left hemisphere R2D2 (B) shows a higher frequency and density of activity compared to the right (C) and coincides with the electrical stimulation artifact. A rhythmic asymmetry spectrogram (D) shows dominance of one side vs. the other side in terms of frequency (left = blue, right = red). The final panel (E) at the bottom is an amplitude EEG (aEEG), which trends the averaged amplitude (in microvolts) of each hemisphere (red = right, blue left) which also increases simultaneously. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: He subsequently underwent continuous 21-channel ICU EEG monitoring with artificial seizure detection and quantitative fast-Fourier transform algorithms (QEEG) to make inferences about cerebral blood flow (alpha-delta ratio) (Persyst 11 software, Persyst Development Corporation, San Diego, CA) .

Techniques: Activity Assay