Xltek acquisition system

Manufactured by Natus

Sourced in Canada

The Xltek acquisition system is a device used for recording and analyzing physiological signals, such as electrical activity in the brain, muscles, or other biological systems. It is designed to capture and process data from various sensors and transducers, enabling the monitoring and assessment of various medical or research applications.

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XLTEK (26 citations) XLTEK system (3 citations)

4 protocols using xltek acquisition system

SEEG Data Analysis for Epilepsy Localization

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The SEEG data were recorded using the Xltek acquisition system (Natus Medical Inc, Pleasanton, CA) with a 2 kHz or 1 kHz (3 patients) sampling rate. Ten‐minute epochs were randomly selected from the long‐term SEEG recordings during interictal periods in which the patient was at rest. All selected epochs were recorded between 7:00AM and 12:30PM, and at least 2 h away from an ictal event. Each selected recording segment was about 3 min long and visually examined for the presence of epileptiform activity or significant spiking activity. Following this procedure, these segments were concatenated and merged into various length. Raw data were notch filtered at 60 Hz and re‐referenced using bipolar montage. Electrode pairs residing in white matter were excluded from further analysis.
SOZ was marked by board‐certificated epileptologists using established clinical interpretation. The SOZ determination occurred during the intracranial recording session and was completed before any data analysis in this study. The seizure onset was indicated by a variety of stereotypical electrographic features, which include, but were not limited to, the onset of fast rhythmic activity, an isolated spike or spike and wave complex followed by rhythmic activity, or an electrodecremental response.^[⁴⁴^] Besides, one typical focal seizure for each patient was extracted for the control analysis.

Jiang H., Kokkinos V., Ye S., Urban A., Bagić A., Richardson M, & He B. (2022). Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome. Advanced Science, 9(18), 2200887.

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Artifact-Containing Human EEG Dataset

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The human EEG data were obtained from a healthy control subject (23 year old male). Data were recorded with an FS128 headbox and an XLTEK acquisition system (Natus Medical, Pleasanton, CA 94566) using an augmented 10/20 montage. The sampling frequency was 250 Hz. Input impedances were ≤5 KΩ. The subject was awake during testing, and generated spontaneous movement artifacts and eye blinks. Low-pass and high-pass filters of 0.01 and 100 Hz, respectively, and a 60 Hz notch filter, were applied. For analysis, 40 segments (either 1 or 3 sec in duration) were selected from a recording of 8 min: 20 of these segments, labeled “significant artifact,” contained EMG, eye-blinks, or other artifacts, as determined by visual inspection of the EEG and simultaneously-recorded video (carried out by an experienced EEG analyst). 20 other segments were labeled “minimal artifact,” as they contained little or no visible artifact. Figure 4 shows one example of a “minimal artifact” segment and two examples of “significant artifact” segments. To generate datasets with 25% artifact, we drew 5 significant-artifact segments and 15 minimal-artifact segments randomly from these two subgroups.
Human subject participation was approved by the Institutional Review Board, and was consistent with the Declaration of Helsinki.

Melman T, & Victor J.D. (2016). Robust power spectral estimation for EEG data. Journal of neuroscience methods, 268, 14-22.

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Intracranial EEG Acquisition Protocol

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Depth electrodes were implanted stereotactically in all patients using Ad-Tech (Ad-Tech Medical Corp., Racine, Wisconsin) 8 contact arrays with 5mm-8mm center to center distance and 2.4 mm contacts with 0.86mm diameter. The iEEG recording was monitored using Natus’s XLTEK acquisition system (Natus Medical Incorporated, San Carlos, CA) and sampled at 500 Hz for the first ten chronologically implanted patients and 512 Hz for the subsequent seven patients. Patients were recorded continuously for variable durations depending on seizure frequency and at the discretion of the clinical team. An external reference on the back of the neck at the level of the CII vertebra was used for all recordings.

Naftulin J.S., Ahmed O.J., Piantoni G., Eichenlaub J.B., Martinet L.E., Kramer M.A, & Cash S.S. (2018). Ictal and Preictal Power Changes Outside of the Seizure Focus Correlate with Seizure Generalization. Epilepsia, 59(7), 1398-1409.

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Intracranial EEG Monitoring in Pharmacoresistant Epilepsy

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Twenty‐four patients (12 male, 12 female, aged 6–46 years; Supplementary Table) with pharmacoresistant epilepsy were included in this study. All patients underwent long‐term presurgical monitoring with intracranial electroencephalography at the Mayo Clinic. The ECoG signals were recorded using a Xltek acquisition system (Natus Medical, Oakville, Ontario, Canada) with a 500Hz sampling rate. Subdural grids (4mm diameter contacts with 10mm intercontact spacing), strips, or depth electrodes were implanted on the cortical surface and/or subcortical regions. The scalp suture electrode placed at the vertex was used as the reference for all recordings. Following data acquisition, a notch filter at 60Hz was applied to remove power line noise. Based on visual inspection, channels exhibiting the presence of artifacts were discarded from further analysis. Then, to reduce the contribution to the coupling of the reference channel, we computed the average reference of the data from all remaining channels and subtracted it from each channel to create signals for analysis.6, 13 The study was approved by local institutional review boards at Mayo Clinic and Carnegie Mellon University.

Jiang H., Cai Z., Worrell G.A, & He B. (2019). Multiple Oscillatory Push–Pull Antagonisms Constrain Seizure Propagation. Annals of Neurology, 86(5), 683-694.

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