Bedside EEG Monitoring in the Neonatal Intensive Care Unit

Hochberg, Oded; Berger, Itai

doi:10.1007/s40746-022-00248-9

Cited by 3 publications

(3 citation statements)

References 57 publications

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“…For the first time, the Flower electrodes allowed comfortable dry recordings in supine position. In future studies, we will investigate their use for dry high-density EEG with sensitive populations, in sleep 37 – 41 and emergency applications 9 , and recordings with infants and neonates 42 – 45 . Mechanical impact on skin and head as well as the resulting wearing comfort have an even higher impact in these sensitive populations and the acceptance of home-side EEG recordings for clinical applications 24 .…”

Section: Discussionmentioning

confidence: 99%

“…Improvements in the wearing comfort of dry electrodes are desirable, especially for non-clinical EEG applications, like brain-computer interfaces, neurofeedback, and in home applications 34 – 36 . Moreover, comfortable recordings in supine positions would contribute to simplified use in medical diagnostics e.g., in sleep studies 37 – 41 neonatal care 42 – 45 , and multimodal recordings combining EEG with e.g., magnetic resonance imaging (MRI) or magnetoencephalography (MEG). Until now, EEG studies with dry electrodes have been conducted in supine position only for low-density setups such as dry ear-EEG 39 , 41 , flat electrodes on the hairless forehead 37 , 38 , 40 , and headbands with the dry electrodes 46 .…”

Section: Introductionmentioning

confidence: 99%

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Flower electrodes for comfortable dry electroencephalography

Warsito,

Komosar,

Bernhard

et al. 2023

Sci Rep

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Dry electroencephalography (EEG) electrodes provide rapid, gel-free, and easy EEG preparation, but with limited wearing comfort. We propose a novel dry electrode comprising multiple tilted pins in a flower-like arrangement. The novel Flower electrode increases wearing comfort and contact area while maintaining ease of use. In a study with 20 volunteers, we compare the performance of a novel 64-channel dry Flower electrode cap to a commercial dry Multipin electrode cap in sitting and supine positions. The wearing comfort of the Flower cap was rated as significantly improved both in sitting and supine positions. The channel reliability and average impedances of both electrode systems were comparable. Averaged VEP components showed no considerable differences in global field power amplitude and latency, as well as in signal-to-noise ratio and topography. No considerable differences were found in the power spectral density of the resting state EEGs between 1 and 40 Hz. Overall, our findings provide evidence for equivalent channel reliability and signal characteristics of the compared cap systems in the sitting and supine positions. The reliability, signal quality, and significantly improved wearing comfort of the Flower electrode allow new fields of applications for dry EEG in long-term monitoring, sensitive populations, and recording in supine position.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flower electrodes for comfortable dry electroencephalography

Warsito,

Komosar,

Bernhard

et al. 2023

Sci Rep

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“…Cerebral monitoring of the aEEG trend for seizure detection and evaluation of cortical activity, e.g., the presence of sleep-wake cycling is routinely performed in the NICU [ 16 , 17 , 18 , 19 ]. While aEEG is effective for a general qualitative clinical bedside assessment, the aEEG interpretation is still a subjective assessment with a substantial inter-rater variation and consequently poor sensitivity to those effects that may accompany drug treatment or other therapeutic maneuvers [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

A Bedside Method for Measuring Effects of a Sedative Drug on Cerebral Function in Newborn Infants

Nilsson

Tokariev

Metsäranta

et al. 2022

Sensors

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Background: Data on the cerebral effects of analgesic and sedative drugs are needed for the development of safe and effective treatments during neonatal intensive care. Electroencephalography (EEG) is an objective, but interpreter-dependent method for monitoring cortical activity. Quantitative computerized analyses might reveal EEG changes otherwise not detectable. Methods: EEG registrations were retrospectively collected from 21 infants (mean 38.7 gestational weeks; range 27–42) who received dexmedetomidine during neonatal care. The registrations were transformed into computational features and analyzed visually, and with two computational measures quantifying relative and absolute changes in power (range EEG; rEEG) and cortico-cortical synchrony (activation synchrony index; ASI), respectively. Results: The visual assessment did not reveal any drug effects. In rEEG analyses, a negative correlation was found between the baseline and the referential frontal (rho = 0.612, p = 0.006) and parietal (rho = −0.489, p = 0.035) derivations. The change in ASI was negatively correlated to baseline values in the interhemispheric (rho = −0.753; p = 0.001) and frontal comparisons (rho = −0.496; p = 0.038). Conclusion: Cerebral effects of dexmedetomidine as determined by EEG in newborn infants are related to cortical activity prior to DEX administration, indicating that higher brain activity levels (higher rEEG) during baseline links to a more pronounced reduction by DEX. The computational measurements indicate drug effects on both overall cortical activity and cortico-cortical communication. These effects were not evident in visual analysis.

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Exploration of Short-range Neonatal Seizure Forecasting with Quantitative EEG Based Deep Learning

Kim,

Glass,

Amorim

et al. 2023

Preprint

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BackgroundIn this study, we utilize robust feature selection of quantitative encephalography (QEEG) features for inclusion into a deep learning (DL) model for short-range forecasting of neonatal seizure risk.MethodsWe used publicly available EEG seizure datasets with a total of 132 neonates. The Boruta algorithm with Shapley values was used for QEEG feature selection into a convolutional long short-term memory (ConvLSTM) DL model to classify preictal versus interictal states. ConvLSTM was trained and evaluated with 10-fold cross-validation. Performance was evaluated with varying seizure prediction horizons (SPH) and seizure occurrence periods (SOP).ResultsBoruta with Shapley values identified statistical moments, spectral power distributions, and RQA features as robust predictors of preictal states. ConvLSTM performed best with SPH 3 min and SOP 7 min, demonstrating 80% sensitivity with 36% of time spent in false alarm, AUROC of 0.80, and AUPRC of 0.23. The model demonstrated ECE of 0.106, consistent with moderate calibration. Evaluation of forecasting skill with BSS under varying SPH demonstrated a peak BSS of 0.056 and a trend for decreasing BSS with increasing SPH.ConclusionStatistical moments, spectral power, and recurrence quantitative analysis are predictive of the preictal state. Short-range neonatal seizure forecasting is feasible with DL models utilizing these features.

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Bedside EEG Monitoring in the Neonatal Intensive Care Unit

Cited by 3 publications

References 57 publications

Flower electrodes for comfortable dry electroencephalography

Flower electrodes for comfortable dry electroencephalography

A Bedside Method for Measuring Effects of a Sedative Drug on Cerebral Function in Newborn Infants

Exploration of Short-range Neonatal Seizure Forecasting with Quantitative EEG Based Deep Learning

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