{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T12:11:53Z","timestamp":1791979913436,"version":"4.4.0"},"reference-count":87,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T00:00:00Z","timestamp":1771718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Point-of-care electroencephalography (POC-EEG) has emerged as a practical tool for the rapid detection of non-convulsive seizures (NCS) and non-convulsive status epilepticus (NCSE) in acute neurological settings where access to conventional EEG is often delayed. This narrative review synthesizes current evidence on the clinical applications, tech-no-logical evolution, and limitations of POC-EEG systems across adult and pediatric populations. Available data suggest that POC-EEG is associated with earlier seizure identification, more timely antiseizure treatment decisions, and reduced dependence on inter-facility transfers in selected healthcare settings. Beyond seizure detection, POC-EEG has shown potential utility in the assessment of acute encephalopathy due to conditions such as stroke, traumatic brain injury, delirium, and post-cardiac arrest states. Recent advances in device portability and artificial intelligence-assisted interpretation have expanded accessibility, enabling use by non-specialist clinicians; however, reduced spatial resolution, artifact susceptibility, and variable performance in focal or low-burden epileptiform activity remain important limitations. Automated detection algorithms show high accuracy for sustained seizure burden but require cautious interpretation and further prospective validation. Ethical and health-system considerations, including equitable access, diagnostic stewardship, and data governance, are increasingly relevant as adoption grows. Overall, POC-EEG represents a promising adjunct to conventional EEG that may improve early diagnostic workflows in acute neurological care, while definitive impacts on long-term outcomes warrant further study.<\/jats:p>","DOI":"10.3390\/jcm15041643","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T08:58:21Z","timestamp":1771837101000},"page":"1643","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Point-of-Care EEG for Non-Convulsive Seizure and Status Epilepticus: Advances, Limitations, and Future Directions"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8024-2354","authenticated-orcid":false,"given":"Ana Leticia Fornari","family":"Caprara","sequence":"first","affiliation":[{"name":"Neurology Department, Cooper University Hospital, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6179-2177","authenticated-orcid":false,"given":"Jamir Pitton","family":"Rissardo","sequence":"additional","affiliation":[{"name":"Neurology Department, Cooper University Hospital, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4873-4913","authenticated-orcid":false,"given":"Hana","family":"Rababeh","sequence":"additional","affiliation":[{"name":"Department of Neurology, University of Michigan, Ann Arbor, MI 48104, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6166-3219","authenticated-orcid":false,"given":"April","family":"Pivonka","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9829-0300","authenticated-orcid":false,"given":"Priya","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4700-6060","authenticated-orcid":false,"given":"Kaitlyn","family":"Piotrowski","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew George","family":"Petruncio","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anusha","family":"Keshireddy","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zehra","family":"Jaffri","sequence":"additional","affiliation":[{"name":"Department of Neurology, Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ 08084, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arthur","family":"Gribachov","sequence":"additional","affiliation":[{"name":"Neurology Department, Cooper University Hospital, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9615-2759","authenticated-orcid":false,"given":"Ruchika","family":"Moturi","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6505-1361","authenticated-orcid":false,"given":"Haashim","family":"Khurram","sequence":"additional","affiliation":[{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manisha","family":"Koneru","sequence":"additional","affiliation":[{"name":"Neurology Department, Cooper University Hospital, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evren","family":"Burakgazi-Dalkilic","sequence":"additional","affiliation":[{"name":"Neurology Department, Cooper University Hospital, Camden, NJ 08103, USA"},{"name":"Department of Neurology, Cooper Medical School of Rowan University, Camden, NJ 08103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s00415-025-13002-6","article-title":"Mortality in Patients with Epilepsy: A Systematic Review","volume":"272","author":"Xu","year":"2025","journal-title":"J. Neurol."},{"key":"ref_2","unstructured":"GBD Epilepsy Collaborators (2025). Global, Regional, and National Burden of Epilepsy, 1990\u20132021: A Systematic Analysis for the Global Burden of Disease Study 2021. Lancet Public Health, 10, e203\u2013e227."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1111\/epi.13121","article-title":"A Definition and Classification of Status Epilepticus--Report of the ILAE Task Force on Classification of Status Epilepticus","volume":"56","author":"Trinka","year":"2015","journal-title":"Epilepsia"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s12028-012-9695-z","article-title":"Guidelines for the Evaluation and Management of Status Epilepticus","volume":"17","author":"Brophy","year":"2012","journal-title":"Neurocrit. Care"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1212\/CPJ.0b013e318278be75","article-title":"Epidemiology, Diagnosis, and Management of Nonconvulsive Status Epilepticus: Opening Pandora\u2019s Box","volume":"2","author":"Sutter","year":"2012","journal-title":"Neurol. Clin. Pract."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"107459","DOI":"10.1016\/j.yebeh.2020.107459","article-title":"Epidemiology of Status Epilepticus in the United States: A Systematic Review","volume":"112","author":"Lu","year":"2020","journal-title":"Epilepsy Behav."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"e38974","DOI":"10.1097\/MD.0000000000038974","article-title":"Incidence of Seizures in ICU Patients with Diffuse Encephalopathy and Its Predictors","volume":"103","author":"Alkhotani","year":"2024","journal-title":"Medicine"},{"key":"ref_8","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_9","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_10","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1111\/epi.17220","article-title":"Noninvasive Mobile EEG as a Tool for Seizure Monitoring and Management: A Systematic Review","volume":"63","author":"Biondi","year":"2022","journal-title":"Epilepsia"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1111\/epi.17953","article-title":"Status Epilepticus: Is There a Stage 1 Plus?","volume":"65","author":"Magro","year":"2024","journal-title":"Epilepsia"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Magro, G. (2025). Early Polytherapy for Probably Benzodiazepine Refractory Na\u00efve Status Epilepticus (Stage 1 Plus). Neurol. Int., 17.","DOI":"10.20944\/preprints202501.0880.v1"},{"key":"ref_13","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_14","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_15","doi-asserted-by":"crossref","first-page":"A142","DOI":"10.59390\/GEBE4090","article-title":"Quantitative and Qualitative Representation of Introductory and Advanced EEG Concepts: An Exploration of Different EEG Setups","volume":"21","author":"Hatton","year":"2023","journal-title":"J. Undergrad. Neurosci. Educ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e13303","DOI":"10.1002\/emp2.13303","article-title":"Evaluating the Feasibility of Prehospital Point-of-Care EEG: The Prehospital Implementation of Rapid EEG (PHIRE) Study","volume":"5","author":"Guterman","year":"2024","journal-title":"J. Am. Coll. Emerg. Physicians Open"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1136\/emermed-2020-209891","article-title":"Feasibility and Usefulness of Rapid 2-Channel-EEG-Monitoring (Point-of-Care EEG) for Acute CNS Disorders in the Paediatric Emergency Department: An Observational Study","volume":"38","author":"Simma","year":"2021","journal-title":"Emerg. Med. J."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Narodova, E.A. (2025). Digital Tools for Seizure Monitoring and Self-Management in Epilepsy: A Narrative Review. J. Clin. Med., 14.","DOI":"10.3390\/jcm14248701"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wang, C., Yuan, X., and Jing, W. (2025). Artificial Intelligence in Electroencephalography Analysis for Epilepsy Diagnosis and Management. Front. Neurol., 16.","DOI":"10.3389\/fneur.2025.1615120"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Chen, Y., Ou, Z., Zhou, D., and Wu, X. (2025). Advancements and Challenges of Artificial Intelligence-Assisted Electroencephalography in Epilepsy Management. J. Clin. Med., 14.","DOI":"10.3390\/jcm14124270"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Fratangelo, R., Lolli, F., Scarpino, M., and Grippo, A. (2025). Point-of-Care Electroencephalography in Acute Neurological Care: A Narrative Review. Neurol. Int., 17.","DOI":"10.3390\/neurolint17040048"},{"key":"ref_22","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_23","doi-asserted-by":"crossref","first-page":"230022","DOI":"10.1098\/rsos.230022","article-title":"Seizure Detection with Reduced Electroencephalogram Channels: Research Trends and Outlook","volume":"10","author":"Maher","year":"2023","journal-title":"R. Soc. Open Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"025003","DOI":"10.1088\/2057-1976\/ada4b6","article-title":"Technical Validation of the Zeto Wireless, Dry Electrode EEG System","volume":"11","author":"Nadasdy","year":"2025","journal-title":"Biomed. Phys. Eng. Express"},{"key":"ref_25","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_26","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_27","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1212\/WNL.0000000000001742","article-title":"Early EEG Contributes to Multimodal Outcome Prediction of Postanoxic Coma","volume":"85","author":"Hofmeijer","year":"2015","journal-title":"Neurology"},{"key":"ref_28","unstructured":"Karunakaran, S. (2024). Performance of Clarity, an Automated Seizure Detection Algorithm. A Large Retrospective Dataset, Proceedings of the American Epilepsy Society (AES) Annual Meeting in 2024, Los Angeles, CA, USA, 6\u201310 December 2024, AES."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1007\/s12028-023-01797-z","article-title":"Gaining Clarity on the Clarit\u0263 Algorithm","volume":"39","author":"Parvizi","year":"2023","journal-title":"Neurocrit. Care"},{"key":"ref_30","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_31","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1016\/j.ajem.2017.01.060","article-title":"Increased Prognostic Accuracy of TBI When a Brain Electrical Activity Biomarker Is Added to Loss of Consciousness (LOC)","volume":"35","author":"Hack","year":"2017","journal-title":"Am. J. Emerg. Med."},{"key":"ref_32","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_33","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_34","doi-asserted-by":"crossref","unstructured":"Ratti, E., Waninger, S., Berka, C., Ruffini, G., and Verma, A. (2017). Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials. Front. Hum. Neurosci., 11.","DOI":"10.3389\/fnhum.2017.00398"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Abdel-Hamid, L. (2023). An Efficient Machine Learning-Based Emotional Valence Recognition Approach Towards Wearable EEG. Sensors, 23.","DOI":"10.3390\/s23031255"},{"key":"ref_36","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_37","doi-asserted-by":"crossref","unstructured":"Moumane, H., Pazuelo, J., Nassar, M., Juez, J.Y., Valderrama, M., and Le Van Quyen, M. (2024). Signal Quality Evaluation of an In-Ear EEG Device in Comparison to a Conventional Cap System. Front. Neurosci., 18.","DOI":"10.3389\/fnins.2024.1441897"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Pazuelo, J., Juez, J.Y., Moumane, H., Pyrzowski, J., Mayor, L., Segura-Quijano, F.E., Valderrama, M., and Le Van Quyen, M. (2024). Evaluating the Electroencephalographic Signal Quality of an In-Ear Wearable Device. Sensors, 24.","DOI":"10.3390\/s24123973"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Aldridge, A., Barnes, E., Bethel, C.L., Carruth, D.W., Kocturova, M., Pleva, M., and Juhar, J. (2019). Accessible Electroencephalograms (EEGs): A Comparative Review with Openbci\u2019s Ultracortex Mark IV Headset, IEEE.","DOI":"10.1109\/RADIOELEK.2019.8733482"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1186\/s42234-023-00114-5","article-title":"Remote Collection of Electrophysiological Data with Brain Wearables: Opportunities and Challenges","volume":"9","author":"Sugden","year":"2023","journal-title":"Bioelectron. Med."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1097\/WNP.0000000000000603","article-title":"Time Is Brain: The Use of EEG Electrode Caps to Rapidly Diagnose Nonconvulsive Status Epilepticus","volume":"36","author":"McKay","year":"2019","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_42","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_43","doi-asserted-by":"crossref","unstructured":"Sutcliffe, L., Lumley, H., Shaw, L., Francis, R., and Price, C.I. (2022). Surface Electroencephalography (EEG) during the Acute Phase of Stroke to Assist with Diagnosis and Prediction of Prognosis: A Scoping Review. BMC Emerg. Med., 22.","DOI":"10.1186\/s12873-022-00585-w"},{"key":"ref_44","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_45","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_46","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":"2025","journal-title":"Neurocrit. Care"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s00431-025-06059-y","article-title":"Point-of-Care EEG in the Pediatric Emergency Department: A Systematic Review","volume":"184","author":"Simma","year":"2025","journal-title":"Eur. J. Pediatr."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1111\/j.1528-1157.1998.tb01177.x","article-title":"Persistent Nonconvulsive Status Epilepticus after the Control of Convulsive Status Epilepticus","volume":"39","author":"DeLorenzo","year":"1998","journal-title":"Epilepsia"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1212\/01.WNL.0000125184.88797.62","article-title":"Detection of Electrographic Seizures with Continuous EEG Monitoring in Critically Ill Patients","volume":"62","author":"Claassen","year":"2004","journal-title":"Neurology"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1056\/NEJM199809173391202","article-title":"A Comparison of Four Treatments for Generalized Convulsive Status Epilepticus. Veterans Affairs Status Epilepticus Cooperative Study Group","volume":"339","author":"Treiman","year":"1998","journal-title":"N. Engl. J. Med."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"5635","DOI":"10.1212\/WNL.0000000000212491","article-title":"Demographic Trends in Status Epilepticus-Related Morality in Older Adults in the United States (1999\u20132020): A Nationwide Retrospective Analysis (P12-9.013)","volume":"104","author":"Abideen","year":"2025","journal-title":"Neurology"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"106297","DOI":"10.1016\/j.yebeh.2019.04.050","article-title":"Poststroke Seizures as Stroke Mimics: Clinical Assessment and Management","volume":"104","author":"Brigo","year":"2020","journal-title":"Epilepsy Behav."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"e54","DOI":"10.3346\/jkms.2022.37.e54","article-title":"Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients","volume":"37","author":"Kim","year":"2022","journal-title":"J. Korean Med. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1056\/NEJMoa1812757","article-title":"Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury","volume":"380","author":"Claassen","year":"2019","journal-title":"N. Engl. J. Med."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1038\/s41582-020-00428-x","article-title":"Recovery from Disorders of Consciousness: Mechanisms, Prognosis and Emerging Therapies","volume":"17","author":"Edlow","year":"2021","journal-title":"Nat. Rev. Neurol."},{"key":"ref_56","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_57","doi-asserted-by":"crossref","first-page":"103350","DOI":"10.1016\/j.nicl.2023.103350","article-title":"Early EEG Monitoring Predicts Clinical Outcome in Patients with Moderate to Severe Traumatic Brain Injury","volume":"37","author":"Tewarie","year":"2023","journal-title":"Neuroimage Clin."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Wiegand, T.L.T., R\u00e9mi, J., and Dimitriadis, K. (2022). Electroencephalography in Delirium Assessment: A Scoping Review. BMC Neurol., 22.","DOI":"10.1186\/s12883-022-02557-w"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1001\/jama.291.14.1753","article-title":"Delirium as a Predictor of Mortality in Mechanically Ventilated Patients in the Intensive Care Unit","volume":"291","author":"Ely","year":"2004","journal-title":"JAMA"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s41999-021-00582-5","article-title":"Barriers to Completing the 4AT for Delirium and Its Clinical Implementation in Two Hospitals: A Mixed-Methods Study","volume":"13","author":"Alhaidari","year":"2022","journal-title":"Eur. Geriatr. Med."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"941","DOI":"10.7326\/0003-4819-113-12-941","article-title":"Clarifying Confusion: The Confusion Assessment Method. A New Method for Detection of Delirium","volume":"113","author":"Inouye","year":"1990","journal-title":"Ann. Intern. Med."},{"key":"ref_62","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_63","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_64","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1016\/j.jagp.2023.03.002","article-title":"Bispectral EEG (BSEEG) Algorithm Captures High Mortality Risk Among 1,077 Patients: Its Relationship to Delirium Motor Subtype","volume":"31","author":"Nishizawa","year":"2023","journal-title":"Am. J. Geriatr. Psychiatry"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"igaf122-3744","DOI":"10.1093\/geroni\/igaf122.3744","article-title":"Delirium Detection Using Point-of-Care Single-Channel EEG: A Pilot Study","volume":"9","author":"Heinze","year":"2025","journal-title":"Innov. Aging"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Shivji, Z., Bendahan, N., McInnis, C., Woodford, T., Einspenner, M., Calder, L., Boiss\u00e9 Lomax, L., Shukla, G., and Winston, G.P. (2024). Electroencephalography (EEG) for Neurological Prognostication in Post-Anoxic Coma Following Cardiac Arrest and Its Relationship to Outcome. Brain Sci., 14.","DOI":"10.20944\/preprints202407.2475.v1"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1007\/s00134-022-06697-y","article-title":"EEG Monitoring after Cardiac Arrest","volume":"48","author":"Sandroni","year":"2022","journal-title":"Intensive Care Med."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"e517","DOI":"10.1161\/CIR.0000000000000702","article-title":"Standards for Studies of Neurological Prognostication in Comatose Survivors of Cardiac Arrest: A Scientific Statement From the American Heart Association","volume":"140","author":"Geocadin","year":"2019","journal-title":"Circulation"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1097\/WNP.0b013e3182784729","article-title":"American Clinical Neurophysiology Society\u2019s Standardized Critical Care EEG Terminology: 2012 Version","volume":"30","author":"Hirsch","year":"2013","journal-title":"J. Clin. Neurophysiol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1186\/cc13102","article-title":"Electroencephalographic Monitoring in Comatose Survivors of Cardiac Arrest","volume":"17","author":"Legriel","year":"2013","journal-title":"Crit. Care"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1055\/s-0036-1595815","article-title":"Electroencephalography as a Prognostic Tool after Cardiac Arrest","volume":"37","author":"Westhall","year":"2017","journal-title":"Semin. Neurol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"123277","DOI":"10.1016\/j.jns.2024.123277","article-title":"Sensitivity of Detecting Interictal Epileptiform Activity Using Rapid Reduced Montage EEG","volume":"467","author":"Freund","year":"2024","journal-title":"J. Neurol. Sci."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1213\/ane.0b013e3181a9d8b5","article-title":"Continuous Electroencephalogram Monitoring in the Intensive Care Unit","volume":"109","author":"Friedman","year":"2009","journal-title":"Anesth. Analg."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1001\/jamaneurol.2019.4656","article-title":"Assessment of the Validity of the 2HELPS2B Score for Inpatient Seizure Risk Prediction","volume":"77","author":"Struck","year":"2020","journal-title":"JAMA Neurol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1007\/s12028-023-01688-3","article-title":"Guidelines for Neuroprognostication in Comatose Adult Survivors of Cardiac Arrest","volume":"38","author":"Rajajee","year":"2023","journal-title":"Neurocrit. Care"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s00134-021-06368-4","article-title":"European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2021: Post-Resuscitation Care","volume":"47","author":"Nolan","year":"2021","journal-title":"Intensive Care Med."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1007\/s00134-021-06548-2","article-title":"Brain Injury after Cardiac Arrest: Pathophysiology, Treatment, and Prognosis","volume":"47","author":"Sandroni","year":"2021","journal-title":"Intensive Care Med."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1080\/13696998.2023.2288422","article-title":"Economic Review of Point-of-Care EEG","volume":"27","author":"Green","year":"2024","journal-title":"J. Med. Econ."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Madakadze, C. (2023). Artificial Intelligence\u2013Enhanced Rapid Response Electroencephalography for the Identification of Nonconvulsive Seizure. Can. Agency Drugs Technol. Health, 3.","DOI":"10.51731\/cjht.2023.800"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1080\/13696998.2021.1887877","article-title":"Modeling the Economic Value of Ceribell Rapid Response EEG in the Inpatient Hospital Setting","volume":"24","author":"Ney","year":"2021","journal-title":"J. Med. Econ."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"(2015). Variability of EEG Interpretation in Comatose Cardiac Arrest Patients. Clin. Neurophysiol., 126, 2397\u20132404.","DOI":"10.1016\/j.clinph.2015.03.017"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.neuron.2020.01.041","article-title":"Ethical Issues Posed by Field Research Using Highly Portable and Cloud-Enabled Neuroimaging","volume":"105","author":"Shen","year":"2020","journal-title":"Neuron"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1080\/23294515.2017.1403980","article-title":"Ethical and Regulatory Challenges of Research Using Pervasive Sensing and Other Emerging Technologies: IRB Perspectives","volume":"8","author":"Nebeker","year":"2017","journal-title":"AJOB Empir. Bioeth."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1111\/epi.13472","article-title":"Testing Patients during Seizures: A European Consensus Procedure Developed by a Joint Taskforce of the ILAE\u2014Commission on European Affairs and the European Epilepsy Monitoring Unit Association","volume":"57","author":"Beniczky","year":"2016","journal-title":"Epilepsia"},{"key":"ref_85","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 CeribellTM Rapid-EEG Recordings","volume":"39","author":"Villamar","year":"2023","journal-title":"Neurocrit. Care"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"109557","DOI":"10.1016\/j.yebeh.2023.109557","article-title":"Review on the Current Long-Term, Limited Lead Electroencephalograms","volume":"150","author":"Loddenkemper","year":"2024","journal-title":"Epilepsy Behav."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.yebeh.2017.04.020","article-title":"Epileptic vs Psychogenic Nonepileptic Seizures: A Video-Based Survey","volume":"73","author":"Wasserman","year":"2017","journal-title":"Epilepsy Behav."}],"container-title":["Journal of Clinical Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2077-0383\/15\/4\/1643\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T05:25:16Z","timestamp":1772083516000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2077-0383\/15\/4\/1643"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,22]]},"references-count":87,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["jcm15041643"],"URL":"https:\/\/doi.org\/10.3390\/jcm15041643","relation":{},"ISSN":["2077-0383"],"issn-type":[{"value":"2077-0383","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,22]]}}}