{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T18:27:32Z","timestamp":1793384852640,"version":"4.5.0"},"reference-count":128,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neurology International"],"abstract":"<jats:p>Point-of-care electroencephalography (POC-EEG) systems are rapid-access, reduced-montage devices designed to address the limitations of conventional EEG (conv-EEG), enabling faster neurophysiological assessment in acute settings. This review evaluates their clinical impact, diagnostic performance, and feasibility in non-convulsive status epilepticus (NCSE), traumatic brain injury (TBI), stroke, and delirium. A comprehensive search of Medline, Scopus, and Embase identified 69 studies assessing 15 devices. In suspected NCSE, POC-EEG facilitates rapid seizure detection and prompt diagnosis, making it particularly effective in time-sensitive and resource-limited settings. Its after-hours availability and telemedicine integration ensure continuous coverage. AI-assisted tools enhance interpretability and accessibility, enabling use by non-experts. Despite variability in accuracy, it supports triaging, improving management, treatment decisions and outcomes while reducing hospital stays, transfers, and costs. In TBI, POC-EEG-derived quantitative EEG (qEEG) indices reliably detect structural lesions, support triage, and minimize unnecessary CT scans. They also help assess concussion severity and predict recovery. For strokes, POC-EEG aids triage by detecting large vessel occlusions (LVOs) with high feasibility in hospital and prehospital settings. In delirium, spectral analysis and AI-assisted models enhance diagnostic accuracy, broadening its clinical applications. Although POC-EEG is a promising screening tool, challenges remain in diagnostic variability, technical limitations, and AI optimization, requiring further research.<\/jats:p>","DOI":"10.3390\/neurolint17040048","type":"journal-article","created":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T13:48:20Z","timestamp":1742824100000},"page":"48","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Point-of-Care Electroencephalography in Acute Neurological Care: A Narrative Review"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5564-6331","authenticated-orcid":false,"given":"Roberto","family":"Fratangelo","sequence":"first","affiliation":[{"name":"UOC Neurologia, Ospedale San Giuseppe, 50053 Empoli, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7181-6806","authenticated-orcid":false,"given":"Francesco","family":"Lolli","sequence":"additional","affiliation":[{"name":"Department of Biomedical, Experimental and Clinical Sciences \u201cMario Serio\u201d, University of Florence, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maenia","family":"Scarpino","sequence":"additional","affiliation":[{"name":"Neurophysiology Unit, Careggi University Hospital, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9997-8564","authenticated-orcid":false,"given":"Antonello","family":"Grippo","sequence":"additional","affiliation":[{"name":"Neurophysiology Unit, Careggi University Hospital, 50134 Florence, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Sharma, S., Nunes, M., and Alkhachroum, A. (2022). Adult Critical Care Electroencephalography Monitoring for Seizures: A Narrative Review. Front. Neurol., 13.","DOI":"10.3389\/fneur.2022.951286"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1007\/s11910-022-01243-1","article-title":"Rapid Response EEG: Current State and Future Directions","volume":"22","author":"Davey","year":"2022","journal-title":"Curr. Neurol. Neurosci. Rep."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Simma, L., Romano, F., Schmidt, S., Ramantani, G., and B\u00f6lsterli, B.K. (2023). Integrating Neuromonitoring in Pediatric Emergency Medicine: Exploring Two Options for Point-of-Care Electroencephalogram (pocEEG) via Patient Monitors\u2014A Technical Note. J. Pers. Med., 13.","DOI":"10.3390\/jpm13091411"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Moctezuma, L.A., and Molinas, M. (2020). EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization. Front. Neurosci., 14.","DOI":"10.3389\/fnins.2020.00593"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1097\/JNN.0000000000000715","article-title":"Rapid-Response Electroencephalography in Seizure Diagnosis and Patient Care: Lessons From a Community Hospital","volume":"55","author":"Eberhard","year":"2023","journal-title":"J. Neurosci. Nurs."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e13004","DOI":"10.1002\/emp2.13004","article-title":"Point-of-Care Electroencephalography Enables Rapid Evaluation and Management of Non-convulsive Seizures and Status Epilepticus in the Emergency Department","volume":"4","author":"Kozak","year":"2023","journal-title":"J. Am. Coll. Emerg. Physicians Open"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1136\/emermed-2020-210903","article-title":"Evaluating the Utility of Rapid Response EEG in Emergency Care","volume":"38","author":"Wright","year":"2021","journal-title":"Emerg. Med. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1684\/epd.2021.1410","article-title":"Improved Access to Rapid Electroencephalography at a Community Hospital Reduces Inter-hospital Transfers for Suspected Non-convulsive Seizures","volume":"24","author":"Madill","year":"2022","journal-title":"Epileptic Disord."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1097\/CCM.0000000000004428","article-title":"Evaluating the Clinical Impact of Rapid Response Electroencephalography: The DECIDE Multicenter Prospective Observational Clinical Study*","volume":"48","author":"Vespa","year":"2020","journal-title":"Crit. Care Med."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1007\/s12028-014-0070-0","article-title":"Non-Convulsive Status Epilepticus and Non-Convulsive Seizures in Neurological ICU Patients","volume":"22","author":"Laccheo","year":"2015","journal-title":"Neurocrit. Care"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1001\/archneur.55.1.117","article-title":"Do Nonconvulsive Seizures Damage the Brain?\u2014Yes","volume":"55","author":"Young","year":"1998","journal-title":"Arch. Neurol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1212\/WNL.0b013e31829c5cfe","article-title":"Electrographic Seizures in Pediatric ICU Patients: Cohort Study of Risk Factors and Mortality","volume":"81","author":"Abend","year":"2013","journal-title":"Neurology"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e495","DOI":"10.1016\/S2589-7500(23)00088-2","article-title":"Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients in the USA: A Retrospective Cross-Sectional Study","volume":"5","author":"Parikh","year":"2023","journal-title":"Lancet Digit. Health"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12028-014-0041-5","article-title":"Consensus Summary Statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: A Statement for Healthcare Professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine","volume":"21","author":"Menon","year":"2014","journal-title":"Neurocrit. Care"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1864","DOI":"10.1111\/epi.12809","article-title":"Critical Care EEG Monitoring Research Consortium (CCEMRC) Continuous EEG Monitoring: A Survey of Neurophysiologists and Neuro-intensivists","volume":"55","author":"Gavvala","year":"2014","journal-title":"Epilepsia"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1684\/epd.2020.1217","article-title":"Electroencephalography: Basic Biophysical and Technological Aspects Important for Clinical Applications","volume":"22","author":"Beniczky","year":"2020","journal-title":"Epileptic Disord."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s12028-020-01117-9","article-title":"EEG Availability in the Intensive Care Setting: A Multicentre Study","volume":"34","author":"MacDarby","year":"2021","journal-title":"Neurocrit. Care"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1097\/WNP.0000000000000170","article-title":"How Much Does It Cost to Identify a Critically Ill Child Experiencing Electrographic Seizures?","volume":"32","author":"Abend","year":"2015","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1097\/WNP.0000000000000463","article-title":"Sensitivity of a Reduced EEG Montage for Seizure Detection in the Neurocritical Care Setting","volume":"35","author":"Ma","year":"2018","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1111\/j.1528-1167.2007.01078.x","article-title":"Assessment of Hairline EEG as a Screening Tool for Nonconvulsive Status Epilepticus","volume":"48","author":"Kolls","year":"2007","journal-title":"Epilepsia"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1097\/WNP.0000000000000049","article-title":"Application of Subhairline EEG Montage in Intensive Care Unit: Comparison With Full Montage","volume":"31","author":"Tanner","year":"2014","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1097\/WNP.0000000000000482","article-title":"Diagnostic Utility of Reduced Electroencephalography","volume":"35","author":"Gururangan","year":"2018","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1016\/j.clinph.2017.04.012","article-title":"Reduced Electrode Arrays for the Automated Detection of Rhythmic and Periodic Patterns in the Intensive Care Unit: Frequently Tried, Frequently Failed?","volume":"128","author":"Herta","year":"2017","journal-title":"Clin. Neurophysiol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1007\/s12028-019-00911-4","article-title":"Diagnostic Value of Electroencephalography with Ten Electrodes in Critically Ill Patients","volume":"33","author":"Westover","year":"2020","journal-title":"Neurocrit. Care"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1097\/WNP.0000000000000337","article-title":"Predicting Outcome in Post-anoxic Coma: Are Ten EEG Electrodes Enough?","volume":"34","author":"Hofmeijer","year":"2017","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.cnp.2018.03.001","article-title":"Diagnostic Utility of Eight-Channel EEG for Detecting Generalized or Hemispheric Seizures and Rhythmic Periodic Patterns","volume":"3","author":"Gururangan","year":"2018","journal-title":"Clin. Neurophysiol. Pract."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1002\/epi4.12474","article-title":"Ceribell EEG Shortens Seizure Diagnosis and Workforce Time and Is Useful for COVID Isolation","volume":"6","author":"LaMonte","year":"2021","journal-title":"Epilepsia Open"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1089\/neu.2013.3062","article-title":"Use of Brain Electrical Activity for the Identification of Hematomas in Mild Traumatic Brain Injury","volume":"30","author":"Hanley","year":"2013","journal-title":"J. Neurotrauma"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.resuscitation.2018.12.022","article-title":"Preliminary Experience with Point-of-Care EEG in Post-Cardiac Arrest Patients","volume":"135","author":"Rittenberger","year":"2019","journal-title":"Resuscitation"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1382","DOI":"10.1080\/02699052.2017.1330966","article-title":"Bispectral Index as a Predictor of Unsalvageable Traumatic Brain Injury","volume":"31","author":"Mahmood","year":"2017","journal-title":"Brain Inj."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1111\/epi.14043","article-title":"Detecting Silent Seizures by Their Sound","volume":"59","author":"Parvizi","year":"2018","journal-title":"Epilepsia"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1097\/JNN.0000000000000476","article-title":"Rapid Response Electroencephalography for Urgent Evaluation of Patients in Community Hospital Intensive Care Practice","volume":"51","author":"Yazbeck","year":"2019","journal-title":"J. Neurosci. Nurs."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1007\/s12028-020-01120-0","article-title":"Monitoring the Burden of Seizures and Highly Epileptiform Patterns in Critical Care with a Novel Machine Learning Method","volume":"34","author":"Kamousi","year":"2021","journal-title":"Neurocrit. Care"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"S265","DOI":"10.1097\/01.ccm.0001000508.82410.f9","article-title":"583: REAL-WORLD PERFORMANCE OF A SEIZURE BURDEN ALGORITHM (CLARITY) IN A COMMUNITY HOSPITAL","volume":"52","author":"Dorriz","year":"2024","journal-title":"Crit. Care Med."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"S263","DOI":"10.1097\/01.ccm.0001000496.91644.0e","article-title":"580: IMPROVEMENTS IN A MACHINE-LEARNING ALGORITHM FOR DETECTING STATUS EPILEPTICUS","volume":"52","author":"Kamousi","year":"2024","journal-title":"Crit. Care Med."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Ward, J., Green, A., Cole, R., Zarbiv, S., Dumond, S., Clough, J., and Rincon, F. (2023). Implementation and Impact of a Point of Care Electroencephalography Platform in a Community Hospital: A Cohort Study. Front. Digit. Health, 5.","DOI":"10.3389\/fdgth.2023.1035442"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1007\/s12028-018-0543-7","article-title":"Rapid Bedside Evaluation of Seizures in the ICU by Listening to the Sound of Brainwaves: A Prospective Observational Clinical Trial of Ceribell\u2019s Brain Stethoscope Function","volume":"29","author":"Hobbs","year":"2018","journal-title":"Neurocrit. Care"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.clinph.2024.11.021","article-title":"1924\u20132024: First Centennial of EEG","volume":"170","author":"Rossini","year":"2025","journal-title":"Clin. Neurophysiol."},{"key":"ref_39","unstructured":"Faul, M., Wald, M.M., Xu, L., and Coronado, V.G. (2010). Traumatic Brain Injury in the United States: Emergency Department Visits, Hospitalizations, and Deaths, 2002\u20132006, CDC: Centers for Disease Control and Prevention."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Sariaslan, A., Sharp, D.J., D\u2019Onofrio, B.M., Larsson, H., and Fazel, S. (2016). Long-Term Outcomes Associated with Traumatic Brain Injury in Childhood and Adolescence: A Nationwide Swedish Cohort Study of a Wide Range of Medical and Social Outcomes. PLoS Med., 13.","DOI":"10.1371\/journal.pmed.1002103"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e20160910","DOI":"10.1542\/peds.2016-0910","article-title":"Removal from Play After Concussion and Recovery Time","volume":"138","author":"Elbin","year":"2016","journal-title":"Pediatrics"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2549","DOI":"10.1001\/jama.290.19.2549","article-title":"Cumulative Effects Associated with Recurrent Concussion in Collegiate Football Players: The NCAA Concussion Study","volume":"290","author":"Guskiewicz","year":"2003","journal-title":"JAMA"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.ijdevneu.2011.09.008","article-title":"10 Years Outcome from Childhood Traumatic Brain Injury","volume":"30","author":"Anderson","year":"2012","journal-title":"Int. J. Dev. Neurosci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1969","DOI":"10.1089\/neu.2015.4252","article-title":"Prevalence of and Risk Factors for Anxiety and Depressive Disorders after Traumatic Brain Injury: A Systematic Review","volume":"33","author":"Scholten","year":"2016","journal-title":"J. Neurotrauma"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1093\/arclin\/act040","article-title":"Test\u2013Retest Reliability of Four Computerized Neurocognitive Assessment Tools in an Active Duty Military Population","volume":"28","author":"Cole","year":"2013","journal-title":"Arch. Clin. Neuropsychol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0013-4694(88)90118-6","article-title":"EEG Spectral Analysis after Minor Head Injury in Man","volume":"70","author":"Tebano","year":"1988","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1016\/j.ajem.2017.05.027","article-title":"Referrals for CT Scans in Mild TBI Patients Can Be Aided by the Use of a Brain Electrical Activity Biomarker","volume":"35","author":"Huff","year":"2017","journal-title":"Am. J. Emerg. Med."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1089\/neu.2017.5004","article-title":"A Brain Electrical Activity Electroencephalographic-Based Biomarker of Functional Impairment in Traumatic Brain Injury: A Multi-Site Validation Trial","volume":"35","author":"Hanley","year":"2018","journal-title":"J. Neurotrauma"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1111\/acem.13175","article-title":"Emergency Department Triage of Traumatic Head Injury Using a Brain Electrical Activity Biomarker: A Multisite Prospective Observational Validation Trial","volume":"24","author":"Hanley","year":"2017","journal-title":"Acad. Emerg. Med."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1109\/TNSRE.2012.2206609","article-title":"Classification of Traumatic Brain Injury Severity Using Informed Data Reduction in a Series of Binary Classifier Algorithms","volume":"20","author":"Prichep","year":"2012","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Rapp, P.E., Keyser, D.O., Albano, A., Hernandez, R., Gibson, D.B., Zambon, R.A., Hairston, W.D., Hughes, J.D., Krystal, A., and Nichols, A.S. (2015). Traumatic Brain Injury Detection Using Electrophysiological Methods. Front. Hum. Neurosci., 9.","DOI":"10.3389\/fnhum.2015.00011"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1176\/jnp.13.1.77","article-title":"An EEG Severity Index of Traumatic Brain Injury","volume":"13","author":"Thatcher","year":"2001","journal-title":"J. Neuropsychiatry Clin. Neurosci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1006\/nimg.1998.0330","article-title":"Biophysical Linkage between MRI and EEG Amplitude in Closed Head Injury","volume":"7","author":"Thatcher","year":"1998","journal-title":"NeuroImage"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2093","DOI":"10.1089\/neu.2018.6365","article-title":"Diffusion Tensor Imaging Indicators of White Matter Injury Are Correlated with a Multimodal Electroencephalography-Based Biomarker in Slow Recovering, Concussed Collegiate Athletes","volume":"37","author":"Wilde","year":"2020","journal-title":"J. Neurotrauma"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1097\/HTR.0000000000000328","article-title":"The Use of an Electrophysiological Brain Function Index in the Evaluation of Concussed Athletes","volume":"33","author":"Brooks","year":"2018","journal-title":"J. Head Trauma Rehabil."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1097\/HTR.0b013e318247b54e","article-title":"Time Course of Clinical and Electrophysiological Recovery After Sport-Related Concussion","volume":"28","author":"Prichep","year":"2013","journal-title":"J. Head Trauma Rehabil."},{"key":"ref_57","first-page":"394","article-title":"Quantitative Brain Electrical Activity in the Initial Screening of Mild Traumatic Brain Injuries","volume":"13","author":"Prichep","year":"2012","journal-title":"West. J. Emerg. Med."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1161\/CIRCULATIONAHA.117.032600","article-title":"Time to Endovascular Treatment and Outcome in Acute Ischemic Stroke: MR CLEAN Registry Results","volume":"138","author":"Mulder","year":"2018","journal-title":"Circulation"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2279","DOI":"10.1161\/CIRCULATIONAHA.115.019983","article-title":"Analysis of Workflow and Time to Treatment on Thrombectomy Outcome in the Endovascular Treatment for Small Core and Proximal Occlusion Ischemic Stroke (ESCAPE) Randomized, Controlled Trial","volume":"133","author":"Menon","year":"2016","journal-title":"Circulation"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1001\/jama.2016.13647","article-title":"Time to Treatment with Endovascular Thrombectomy and Outcomes from Ischemic Stroke: A Meta-Analysis","volume":"316","author":"Saver","year":"2016","journal-title":"JAMA"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1161\/STROKEAHA.116.013144","article-title":"Clinical Scales Do Not Reliably Identify Acute Ischemic Stroke Patients with Large-Artery Occlusion","volume":"47","author":"Turc","year":"2016","journal-title":"Stroke"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1089\/tmj.2018.0232","article-title":"The Accuracy of Large Vessel Occlusion Recognition Scales in Telestroke Setting","volume":"25","author":"Anadani","year":"2019","journal-title":"Telemed. J. E-Health"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Antipova, D., Eadie, L., Macaden, A., and Wilson, P. (2019). Diagnostic Accuracy of Clinical Tools for Assessment of Acute Stroke: A Systematic Review. BMC Emerg. Med., 19.","DOI":"10.1186\/s12873-019-0262-1"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1161\/01.STR.4.4.674","article-title":"Correlation of Continuous Electroencephalograms with Cerebral Blood Flow Measurements During Carotid Endarterectomy","volume":"4","author":"Sharbrough","year":"1973","journal-title":"Stroke"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1097\/WNP.0000000000000272","article-title":"EEG Monitoring in Cerebral Ischemia: Basic Concepts and Clinical Applications","volume":"33","author":"Hofmeijer","year":"2016","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2399","DOI":"10.1152\/jn.00978.2015","article-title":"Utility of EEG Measures of Brain Function in Patients with Acute Stroke","volume":"115","author":"Wu","year":"2016","journal-title":"J. Neurophysiol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2280","DOI":"10.1016\/j.jstrokecerebrovasdis.2019.05.019","article-title":"Electroencephalography Measures Are Useful for Identifying Large Acute Ischemic Stroke in the Emergency Department","volume":"28","author":"Shreve","year":"2019","journal-title":"J. Stroke Cerebrovasc. Dis."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"3361","DOI":"10.1161\/STROKEAHA.120.030150","article-title":"Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion","volume":"51","author":"Erani","year":"2020","journal-title":"Stroke"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1016\/j.clinph.2015.07.014","article-title":"Defining Abnormal Slow EEG Activity in Acute Ischaemic Stroke: Delta\/Alpha Ratio as an Optimal QEEG Index","volume":"127","author":"Finnigan","year":"2016","journal-title":"Clin. Neurophysiol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1186\/cc11230","article-title":"Quantitative EEG for the Detection of Brain Ischemia","volume":"16","author":"Foreman","year":"2012","journal-title":"Crit. Care"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.clinph.2012.07.003","article-title":"EEG in Ischaemic Stroke: Quantitative EEG Can Uniquely Inform (Sub-)Acute Prognoses and Clinical Management","volume":"124","author":"Finnigan","year":"2013","journal-title":"Clin. Neurophysiol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"2489","DOI":"10.1161\/01.STR.0000144649.49861.1d","article-title":"Continuous Quantitative EEG Monitoring in Hemispheric Stroke Patients Using the Brain Symmetry Index","volume":"35","author":"Tavy","year":"2004","journal-title":"Stroke"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1159\/000486535","article-title":"Contralesional Brain Activity in Acute Ischemic Stroke","volume":"45","author":"Vermeer","year":"2018","journal-title":"Cerebrovasc. Dis."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.neucli.2019.12.004","article-title":"Stroke Identification Using a Portable EEG Device\u2014A Pilot Study","volume":"50","author":"Gottlibe","year":"2020","journal-title":"Neurophysiol. Clin."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1007\/s00415-021-10781-6","article-title":"Detection of Large Vessel Occlusion Stroke with Electroencephalography in the Emergency Room: First Results of the ELECTRA-STROKE Study","volume":"269","author":"Marquering","year":"2022","journal-title":"J. Neurol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"E11","DOI":"10.3171\/2021.4.FOCUS21122","article-title":"A Systematic Review of Next-Generation Point-of-Care Stroke Diagnostic Technologies","volume":"51","author":"Shahrestani","year":"2021","journal-title":"Neurosurg. Focus"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1111\/acem.12561","article-title":"Identification of Acute Stroke Using Quantified Brain Electrical Activity","volume":"22","author":"Michelson","year":"2015","journal-title":"Acad. Emerg. Med."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Wilkinson, C.M., Burrell, J.I., Kuziek, J.W.P., Thirunavukkarasu, S., Buck, B.H., and Mathewson, K.E. (2020). Predicting Stroke Severity with a 3-Min Recording from the Muse Portable EEG System for Rapid Diagnosis of Stroke. Sci. Rep., 10.","DOI":"10.1038\/s41598-020-75379-w"},{"key":"ref_79","first-page":"e2522","article-title":"Prehospital Detection of Large Vessel Occlusion Stroke with EEG: Results of the ELECTRA-STROKE Study","volume":"101","author":"Groenendijk","year":"2023","journal-title":"Neurology"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/S0140-6736(13)60688-1","article-title":"Delirium in Elderly People","volume":"383","author":"Inouye","year":"2014","journal-title":"Lancet"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"117","DOI":"10.5847\/wjem.j.1920-8642.2021.02.006","article-title":"Poor Outcomes of Delirium in the Intensive Care Units Are Amplified by Increasing Age: A Retrospective Cohort Study","volume":"12","author":"Gao","year":"2021","journal-title":"World J. Emerg. Med."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1097\/CCM.0000000000004139","article-title":"Biomarkers of Delirium Duration and Delirium Severity in the ICU","volume":"48","author":"Khan","year":"2020","journal-title":"Crit. Care Med."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"311","DOI":"10.4037\/ajcc2020498","article-title":"Relationship Between Intensive Care Unit Delirium Severity and 2-Year Mortality and Health Care Utilization","volume":"29","author":"Andrews","year":"2020","journal-title":"Am. J. Crit. Care"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1097\/DCC.0000000000000167","article-title":"An Innovative Approach to Improving the Accuracy of Delirium Assessments Using the Confusion Assessment Method for the Intensive Care Unit","volume":"35","author":"DiLibero","year":"2016","journal-title":"Dimens. Crit. Care Nurs."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Hayashi, A., Kobayashi, S., Matsui, K., Akaho, R., and Nishimura, K. (2020). The Accuracy of Delirium Assessment by Cardiologists Treating Heart Failure Inpatients: A Single Center Retrospective Survey. Biopsychosoc. Med., 14.","DOI":"10.1186\/s13030-020-00188-6"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1002\/nur.22268","article-title":"Delirium Detection Using GAMMA Wave and Machine Learning: A Pilot Study","volume":"45","author":"Mulkey","year":"2022","journal-title":"Res. Nurs. Health"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.bja.2020.02.027","article-title":"Cohort Study into the Neural Correlates of Postoperative Delirium: The Role of Connectivity and Slow-Wave Activity","volume":"125","author":"Tanabe","year":"2020","journal-title":"Br. J. Anaesth."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"19m12749","DOI":"10.4088\/JCP.19m12749","article-title":"Identification of Patients with High Mortality Risk and Prediction of Outcomes in Delirium by Bispectral EEG","volume":"80","author":"Shinozaki","year":"2019","journal-title":"J. Clin. Psychiatry"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.ajem.2018.10.004","article-title":"The Point-of-Care EEG for Delirium Detection in the Emergency Department","volume":"37","author":"Lee","year":"2019","journal-title":"Am. J. Emerg. Med."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1111\/pcn.12783","article-title":"Delirium Detection by a Novel Bispectral Electroencephalography Device in General Hospital","volume":"72","author":"Shinozaki","year":"2018","journal-title":"Psychiatry Clin. Neurosci."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1179\/2047480615Z.000000000329","article-title":"Writing Narrative Style Literature Reviews","volume":"24","author":"Ferrari","year":"2015","journal-title":"Med. Writ."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"e1","DOI":"10.1016\/j.jclinepi.2009.06.006","article-title":"The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration","volume":"62","author":"Liberati","year":"2009","journal-title":"J. Clin. Epidemiol."},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., and PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med., 6.","DOI":"10.1371\/journal.pmed.1000097"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"442","DOI":"10.5811\/westjem.2015.3.24137","article-title":"Rapid Diagnosis of Nonconvulsive Status Epilepticus Using Reduced-Lead Electroencephalography","volume":"16","author":"Brenner","year":"2015","journal-title":"West J. Emerg. Med."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.yebeh.2015.04.041","article-title":"Forehead EEG Electrode Set versus Full-Head Scalp EEG in 100 Patients with Altered Mental State","volume":"49","author":"Mervaala","year":"2015","journal-title":"Epilepsy Behav."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s12028-019-00863-9","article-title":"Diagnostic Reliability of Headset-Type Continuous Video EEG Monitoring for Detection of ICU Patterns and NCSE in Patients with Altered Mental Status with Unknown Etiology","volume":"32","author":"Egawa","year":"2020","journal-title":"Neurocrit. Care"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Caricato, A., Della Marca, G., Ioannoni, E., Silva, S., Benzi Markushi, T., Stival, E., Biasucci, D.G., Montano, N., Gelormini, C., and Melchionda, I. (2020). Continuous EEG Monitoring by a New Simplified Wireless Headset in Intensive Care Unit. BMC Anesthesiol., 20.","DOI":"10.1186\/s12871-020-01213-5"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1007\/s10877-020-00533-8","article-title":"Evaluation of a New Wireless Technique for Continuous Electroencephalography Monitoring in Neurological Intensive Care Patients","volume":"35","author":"Meyer","year":"2021","journal-title":"J. Clin. Monit. Comput."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Welte, T.M., Janner, F., Lindner, S., Gollwitzer, S., Stritzelberger, J., Lang, J.D., Reindl, C., Spr\u00fcgel, M.I., Olmes, D., and Schwab, S. (2024). Evaluation of Simplified Wireless EEG Recordings in the Neurological Emergency Room. PLoS ONE, 19.","DOI":"10.1371\/journal.pone.0310223"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.cnp.2019.02.002","article-title":"Comparing the Quality of Signals Recorded with a Rapid Response EEG and Conventional Clinical EEG Systems","volume":"4","author":"Kamousi","year":"2019","journal-title":"Clin. Neurophysiol. Pract."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.seizure.2020.08.022","article-title":"Status Epilepticus and Other EEG Findings in Patients with COVID-19: A Case Series","volume":"81","author":"Chen","year":"2020","journal-title":"Seizure"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"e209621","DOI":"10.1212\/WNL.0000000000209621","article-title":"Seizure Assessment and Forecasting with Efficient Rapid-EEG","volume":"103","author":"Fatima","year":"2024","journal-title":"Neurology"},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Kurup, D., Gururangan, K., Desai, M.J., Markert, M.S., Eliashiv, D.S., Vespa, P.M., and Parvizi, J. (2022). Comparing Seizures Captured by Rapid Response EEG and Conventional EEG Recordings in a Multicenter Clinical Study. Front. Neurol., 13.","DOI":"10.3389\/fneur.2022.915385"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1007\/s12028-023-01681-w","article-title":"Automated Seizure Detection in Patients with Cardiac Arrest: A Retrospective Review of Ceribell\u2122 Rapid-EEG Recordings","volume":"39","author":"Villamar","year":"2023","journal-title":"Neurocrit. Care"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1007\/s12028-024-02039-6","article-title":"Evaluating the Impact of Point-of-Care Electroencephalography on Length of Stay in the Intensive Care Unit: Subanalysis of the SAFER-EEG Trial","volume":"42","author":"Desai","year":"2024","journal-title":"Neurocrit. Care"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"108116","DOI":"10.1016\/j.jstrokecerebrovasdis.2024.108116","article-title":"Time Is Brain: Detection of Nonconvulsive Seizures and Status Epilepticus during Acute Stroke Evaluation Using Point-of-Care Electroencephalography","volume":"34","author":"Gururangan","year":"2025","journal-title":"J. Stroke Cerebrovasc. Dis."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"e210234","DOI":"10.1212\/WNL.0000000000210234","article-title":"Accuracy of a Rapid-Response EEG\u2019s Automated Seizure-Burden Estimator","volume":"104","author":"Sheikh","year":"2025","journal-title":"Neurology"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1016\/j.ajem.2010.03.010","article-title":"Automated Electroencephalogram Identifies Abnormalities in the ED","volume":"29","author":"Naunheim","year":"2011","journal-title":"Am. J. Emerg. Med."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1324","DOI":"10.3109\/02699052.2010.506862","article-title":"Use of Brain Electrical Activity to Quantify Traumatic Brain Injury in the Emergency Department","volume":"24","author":"Naunheim","year":"2010","journal-title":"Brain Inj."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1097\/HTR.0b013e3181e67923","article-title":"Acute Effects and Recovery After Sport-Related Concussion: A Neurocognitive and Quantitative Brain Electrical Activity Study","volume":"25","author":"McCrea","year":"2010","journal-title":"J. Head Trauma Rehabil."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"58","DOI":"10.3109\/02699052.2011.608216","article-title":"Measuring Brain Electrical Activity to Track Recovery from Sport-Related Concussion","volume":"26","author":"Barr","year":"2012","journal-title":"Brain Inj."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compbiomed.2014.07.011","article-title":"Classification Algorithms for the Identification of Structural Injury in TBI Using Brain Electrical Activity","volume":"53","author":"Prichep","year":"2014","journal-title":"Comput. Biol. Med."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1089\/neu.2014.3365","article-title":"Identification of Hematomas in Mild Traumatic Brain Injury Using an Index of Quantitative Brain Electrical Activity","volume":"32","author":"Prichep","year":"2015","journal-title":"J. Neurotrauma"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.ajem.2014.11.015","article-title":"Comparison of Quantitative EEG to Current Clinical Decision Rules for Head CT Use in Acute Mild Traumatic Brain Injury in the ED","volume":"33","author":"Ayaz","year":"2015","journal-title":"Am. J. Emerg. Med."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.ajem.2017.07.007","article-title":"Using a Brain Electrical Activity Biomarker Could Aid in the Objective Identification of Mild Traumatic Brain Injury Patients","volume":"36","author":"Naunheim","year":"2018","journal-title":"Am. J. Emerg. Med."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1080\/23279095.2016.1213263","article-title":"Normative Data for Evaluating Mild Traumatic Brain Injury with a Handheld Neurocognitive Assessment Tool","volume":"24","author":"Vincent","year":"2017","journal-title":"Appl. Neuropsychol. Adult"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.compbiomed.2018.09.011","article-title":"A Multimodal Biomarker for Concussion Identification, Prognosis and Management","volume":"102","author":"Jacquin","year":"2018","journal-title":"Comput. Biol. Med."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"1987","DOI":"10.1016\/j.ajem.2019.04.037","article-title":"Reduction in Unnecessary CT Scans for Head-Injury in the Emergency Department Using an FDA Cleared Device","volume":"37","author":"Naunheim","year":"2019","journal-title":"Am. J. Emerg. Med."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1097\/JNN.0000000000000420","article-title":"Triage of Mild Head-Injured Intoxicated Patients Could Be Aided by Use of an Electroencephalogram-Based Biomarker","volume":"51","author":"Michelson","year":"2019","journal-title":"J. Neurosci. Nurs."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1080\/00913847.2020.1745717","article-title":"Preliminary Investigation of a Multimodal Enhanced Brain Function Index among High School and Collegiate Concussed Male and Female Athletes","volume":"48","author":"Covassin","year":"2020","journal-title":"Physician Sportsmed."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"S20","DOI":"10.1212\/01.wnl.0000801928.31116.5f","article-title":"Validation of a Multimodal EEG-Based Index to Aid in Diagnosing and Tracking Concussion Among Athletes","volume":"98","author":"Bazarian","year":"2022","journal-title":"Neurology"},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"e2355910","DOI":"10.1001\/jamanetworkopen.2023.55910","article-title":"Identification of Concussion Subtypes Based on Intrinsic Brain Activity","volume":"7","author":"Liang","year":"2024","journal-title":"JAMA Netw. Open"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1093\/milmed\/usaa397","article-title":"An Observation of Application of Structural Brain Injury Devices for Traumatic Brain Injury Evaluation in Austere Military Prehospital Settings","volume":"186","author":"Koreerat","year":"2021","journal-title":"Mil. Med."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"e479","DOI":"10.1093\/milmed\/usae471","article-title":"Feasibility Assessment of Rapid Response EEG in the Identification of Nonconvulsive Seizures During Military Medical Air Transport","volume":"190","author":"Luster","year":"2024","journal-title":"Mil. Med."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1080\/10903127.2023.2185333","article-title":"Prehospital Electroencephalography to Detect Traumatic Brain Injury during Helicopter Transport: A Pilot Observational Cohort Study","volume":"28","author":"Barton","year":"2024","journal-title":"Prehosp. Emerg. Care"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.bja.2018.08.021","article-title":"Delirium Detection Using Relative Delta Power Based on 1-Minute Single-Channel EEG: A Multicentre Study","volume":"122","author":"Numan","year":"2019","journal-title":"Br. J. Anaesth."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.clinph.2022.08.002","article-title":"Feasibility and Potential of a Bedside Mini-EEG for Diagnosing Delirium Superimposed on Dementia","volume":"142","author":"Wijnen","year":"2022","journal-title":"Clin. Neurophysiol."},{"key":"ref_128","doi-asserted-by":"crossref","unstructured":"Mulkey, M.A., Huang, H., Albanese, T., Kim, S., and Yang, B. (2023). Supervised Deep Learning with Vision Transformer Predicts Delirium Using Limited Lead EEG. Sci. 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