Continuous EEG monitoring by a new simplified wireless headset in intensive care unit

Caricato, Anselmo; Marca, Giacomo Della; Ioannoni, Eleonora; Silva, Serena; Markushi, Tiziana Benzi; Stival, Eleonora; Biasucci, Daniele Guerino; Montano, Nicola; Gelormini, Camilla; Melchionda, Isabella

doi:10.1186/s12871-020-01213-5

Cited by 11 publications

(14 citation statements)

References 20 publications

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“…The scope of the current findings supports the premise that there is no unitary theory for human performance since we observed different patterns of behavior and brain activity as a function of task modality and task complexity. The observed utility of implementing a one-channel wireless EEG index (BEI) for the investigation of behavior in ecological settings is congruent with previous research which demonstrated the feasibility and utility of wireless EEG monitoring in a variety of contexts such as for assessing attentiveness to instruction in class ( Liu et al, 2013 ), driver’s fatigue ( Ko et al, 2015 ), mental engagement of students during learning tasks ( Khedher et al, 2019 ), and health state in intensive care units ( Caricato et al, 2020 ). So, combined behavior and electrophysiological markers promote an innovative hands-on methodology to monitor behavior on a sub-second scale, detect outliers and predict important changes, and finally, personalize diagnosis and treatment.…”

Section: Discussionsupporting

confidence: 78%

A multimodal approach for the ecological investigation of sustained attention: A pilot study

Avirame

Gshur²,

Komemi³

et al. 2022

Front. Hum. Neurosci.

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Natural fluctuations in sustained attention can lead to attentional failures in everyday tasks and even dangerous incidences. These fluctuations depend on personal factors, as well as task characteristics. So far, our understanding of sustained attention is partly due to the common usage of laboratory setups and tasks, and the complex interplay between behavior and brain activity. The focus of the current study was thus to test the feasibility of applying a single-channel wireless EEG to monitor patterns of sustained attention during a set of ecological tasks. An EEG marker of attention (BEI—Brain Engagement Index) was continuously recorded from 42 healthy volunteers during auditory and visual tasks from the Test of Everyday Attention (TEA) and Trail Making Test (TMT). We found a descending pattern of both performance and BEI in the auditory tasks as task complexity increases, while the increase in performance and decrease in BEI on the visual task. In addition, patterns of BEI in the complex tasks were used to detect outliers and the optimal range of attention through exploratory models. The current study supports the feasibility of combined electrophysiological and neurocognitive investigation of sustained attention in ecological tasks yielding unique insights on patterns of sustained attention as a function of task modality and task complexity.

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Section: Discussionsupporting

confidence: 78%

A multimodal approach for the ecological investigation of sustained attention: A pilot study

Avirame

Gshur²,

Komemi³

et al. 2022

Front. Hum. Neurosci.

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“…One exception is the DeltaScan monitor, with fair (69%) sensitivity and fair (69%) specificity, meaning that further improvement is necessary [ 83 ]. Wireless EEG recording is an emerging technology for seizure monitoring [ 89 ]. Its implementation for delirium monitoring in the ICU patient will represent a significant breakthrough in this field.…”

Section: Future Delirium Monitoringmentioning

confidence: 99%

The future of intensive care: delirium should no longer be an issue

et al. 2022

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In the ideal intensive care unit (ICU) of the future, all patients are free from delirium, a syndrome of brain dysfunction frequently observed in critical illness and associated with worse ICU-related outcomes and long-term cognitive impairment. Although screening for delirium requires limited time and effort, this devastating disorder remains underestimated during routine ICU care. The COVID-19 pandemic brought a catastrophic reduction in delirium monitoring, prevention, and patient care due to organizational issues, lack of personnel, increased use of benzodiazepines and restricted family visitation. These limitations led to increases in delirium incidence, a situation that should never be repeated. Good sedation practices should be complemented by novel ICU design and connectivity, which will facilitate non-pharmacological sedation, anxiolysis and comfort that can be supplemented by balanced pharmacological interventions when necessary. Improvements in the ICU sound, light control, floor planning, and room arrangement can facilitate a healing environment that minimizes stressors and aids delirium prevention and management. The fundamental prerequisite to realize the delirium-free ICU, is an awake non-sedated, pain-free comfortable patient whose management follows the A to F (A–F) bundle. Moreover, the bundle should be expanded with three additional letters, incorporating humanitarian care: gaining (G) insight into patient needs, delivering holistic care with a ‘home-like’ (H) environment, and redefining ICU architectural design (I). Above all, the delirium-free world relies upon people, with personal challenges for critical care teams to optimize design, environmental factors, management, time spent with the patient and family and to humanize ICU care.

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“…Rapid EEG devices are more like conventional EEG systems. They could be more helpful in assessing the early trajectories of EEG evolution and prognostication of patients with encephalopathy and coma [ 19 •]. Finally, with the widespread adoption of deeper sedation regimens than previously used for COVID-related ARDS, EEG assessment of sedation depth has received renewed research interest in recent years [ 11 ].…”

Section: Sedationmentioning

confidence: 99%

Rapid Response EEG: Current State and Future Directions

Davey

Gupta

et al. 2022

Curr Neurol Neurosci Rep

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Purpose of Review To critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). Recent Findings The development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past decade, has increased the rate and access to EEG acquisition. These achievements have made EEG in the emergency setting a practical diagnostic technique for detecting seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental status, stroke, and in the setting of sedation. Summary Growing evidence supports using EEG to expedite medical decision-making in the setting of suspected acute neurological injury. This review covers approaches to acquiring EEG in the emergency setting in the adult and pediatric populations. We also cover the clinical impact of this data, the time associated with emergency EEG, and the costs of acquiring EEG in these settings. Finally, we discuss the advances in artificial intelligence for rapid electrophysiological interpretation.

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Continuous EEG monitoring by a new simplified wireless headset in intensive care unit

Cited by 11 publications

References 20 publications

A multimodal approach for the ecological investigation of sustained attention: A pilot study

A multimodal approach for the ecological investigation of sustained attention: A pilot study

The future of intensive care: delirium should no longer be an issue

Rapid Response EEG: Current State and Future Directions

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