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Magstim Company continuous high-density (hd-)eeg recording
Continuous High Density (Hd )Eeg Recording, supplied by Magstim Company, 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/hd-eeg+recording/high+density+eeg+system/pmc12271331-233-5-14
Average 90 stars, based on 1 article reviews
continuous high-density (hd-)eeg recording - by Bioz Stars, 2026-09
90/100 stars

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Related Articles

Magnetic Resonance Imaging:

Article Title: A subgaleal electrode array for neurostimulation allows the recording of relevant information in closed loop applications.
Article Snippet: Background: Neurostimulation is an emerging treatment option for patients resistant to pharmacotherapy and ineligible for neurosurgical intervention.. Compared to intracranial stimulation placement of electrodes in the subgaleal space offers a minimally invasive option for long-term seizure monitoring for responsive systems.. New method: It was investigated, whether electrode contacts of a device being developed as a stimulation system placed in the subgaleal space are suited for recording of EEG activity for seizure detection.

Article Title: Origin, synchronization, and propagation of sleep slow waves in children.
Article Snippet: Sleep recordings All participants underwent an in-laboratory overnight hd-EEG ecording (256 channels; Electrical Geodesics Inc., Eugene, OR) with 250 Hz or 500 Hz sampling rate, coupled with traditional videoSG ( Berry et al., 2020 ).

Article Title: Sleep reverts changes in human grey and white matter caused by wake-dependent training
Article Snippet: Each experiment included 5 consecutive MRI sessions (every ∼12h) with both functional and structural scans, all occurring in quiet wake: 1) W B (wake baseline) at ∼7pm, after a wake day spent outside the lab without any specific training; 2) S B (sleep baseline) the next morning at ∼8am, after subjects slept at home as usual; 3) W T12 (wake with training) ∼8pm, after 12h of wake with extensive training in the lab; 4) W T24 (extended wake with training) ∼8am, after 24h of continuous wake with extensive training in the lab; 5) S R (sleep recovery) ∼8pm, after ∼8h of recovery sleep with hd-EEG recording in the lab (256 channels; Electrical Geodesics Inc.; recovery sleep onset ∼10am).

Functional Assay:

Article Title: A subgaleal electrode array for neurostimulation allows the recording of relevant information in closed loop applications.
Article Snippet: Background: Neurostimulation is an emerging treatment option for patients resistant to pharmacotherapy and ineligible for neurosurgical intervention.. Compared to intracranial stimulation placement of electrodes in the subgaleal space offers a minimally invasive option for long-term seizure monitoring for responsive systems.. New method: It was investigated, whether electrode contacts of a device being developed as a stimulation system placed in the subgaleal space are suited for recording of EEG activity for seizure detection.

Article Title: Origin, synchronization, and propagation of sleep slow waves in children.
Article Snippet: Sleep recordings All participants underwent an in-laboratory overnight hd-EEG ecording (256 channels; Electrical Geodesics Inc., Eugene, OR) with 250 Hz or 500 Hz sampling rate, coupled with traditional videoSG ( Berry et al., 2020 ).

Article Title: Sleep reverts changes in human grey and white matter caused by wake-dependent training
Article Snippet: Each experiment included 5 consecutive MRI sessions (every ∼12h) with both functional and structural scans, all occurring in quiet wake: 1) W B (wake baseline) at ∼7pm, after a wake day spent outside the lab without any specific training; 2) S B (sleep baseline) the next morning at ∼8am, after subjects slept at home as usual; 3) W T12 (wake with training) ∼8pm, after 12h of wake with extensive training in the lab; 4) W T24 (extended wake with training) ∼8am, after 24h of continuous wake with extensive training in the lab; 5) S R (sleep recovery) ∼8pm, after ∼8h of recovery sleep with hd-EEG recording in the lab (256 channels; Electrical Geodesics Inc.; recovery sleep onset ∼10am).



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Fig. 7. Proportion of bad epochs in 54 overnight <t>sleep</t> <t>hd-EEG</t> recordings. <t>The</t> <t>artifact</t> removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.
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Image Search Results


Fig. 7. Proportion of bad epochs in 54 overnight sleep hd-EEG recordings. The artifact removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.

Journal: Journal of neuroscience methods

Article Title: 'High-Density-SleepCleaner': An open-source, semi-automatic artifact removal routine tailored to high-density sleep EEG.

doi: 10.1016/j.jneumeth.2023.109849

Figure Lengend Snippet: Fig. 7. Proportion of bad epochs in 54 overnight sleep hd-EEG recordings. The artifact removal routine was applied in 54 overnight sleep hd-EEG recordings (128 channels). (A) The proportion of classified bad epochs depends on the number of channels required to be artifact-free. A subset of 124 channels included for the classification of bad epochs leads to more classified bad epochs than a subset of 111 channels. Once bad channels are excluded, both subsets result in approximately the same proportion of bad epochs. The additional exclusion of poor channels further decreases the proportion of bad epochs in both subsets of channels. (B) Most bad epochs only contain 1–2 bad channels. Bad epochs were classified with bad and poor channels included in both subsets of channels. Boxplots: The horizontal line indicates the median, the 𝑥the mean, the whiskers the scores within 1.5 times the interquartile range, and the box the middle 50% of scores.

Article Snippet: The artifact removal routine (v1.0.0) was applied in 54 overnight sleep hd-EEG recordings (EGI Net Station v5.4; Electrical Geodesics Sensor Net for long-term monitoring, 128 channels, Net Amps 400 series, Electrical Geodesics Inc., EGI, Eugene, OR, USA).

Techniques: