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- DOI 10.18231/j.ijn.2025.002
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CrossMark
- Citation
Advancements in remote EEG monitoring: Technology, applications, and future directions
- Author Details:
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J Soorya Dev
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Arjun S Nair
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Anilkumar TV
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A Marthanda Pillai
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Sajeesh Parameswaran *
The integration of remote electroencephalogram (EEG) monitoring into neurological care has revolutionized the management of brain-related conditions, facilitating real-time, continuous monitoring in diverse clinical settings such as routine EEG, Ambulatory Video EEG Monitoring, Intensive Care Unit EEG monitoring, and epilepsy monitoring units. Remote EEG allows for quicker diagnosis and timely treatment decisions by significantly reducing turnaround time for EEG reports. In ICUs, remote EEG facilitates the early detection of conditions such as non-convulsive seizures and status epilepticus, providing critical insights into the neurological status of critically ill patients. Ambulatory Video EEG Monitoring enhances chronic disease management, particularly in epilepsy, by monitoring seizure frequency and triggers, enabling long-term, patient-centered care from home. Technological advancements in portable EEG devices, cloud-based platforms, and Artificial Intelligence (AI) integration have enabled real-time data analysis, improving diagnostic accuracy and treatment outcomes. The expanding field of remote EEG is creating new job opportunities across healthcare, technology, and research sectors. However, the widespread adoption of remote EEG necessitates international guidelines and certifications to ensure equipment accuracy, data security, and patient safety. Future innovations in wearable devices, AI algorithms, and the global expansion of telemedicine will further transform the landscape of remote EEG monitoring, improving healthcare access and patient outcomes, especially in underserved regions. As the technology advances, regulatory measures must prioritize the security of patient data, ensuring compliance with healthcare data protection standards.
Keywords: Electroencephalography, Remote EEG, Ambulatory EEG
References
- Milne-Ives M, Duun-Henriksen J, Blaabjerg L, Mclean B, Shankar R, Meinert E. At home EEG monitoring technologies for people with epilepsy and intellectual disabilities: a scoping review. Seizure. 2023;110:11–20.
- Murphey DK, Anderson ER. The past, present, and future of tele- EEG. Semin Neurol. 2022;42(1):31–38.
- Biondi A, Santoro V, Viana PF, Laiou P, Pal DK, Bruno E et al. Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review. Epilepsia. 2022;63(5):1041–63.
- Reus EE, Visser GH, van Dijk JG, Cox FM. Automated seizure detection in an EMU setting: Are software packages ready for implementation?. Seizure. 2022;96:13–7.
- Hirsch LJ. Continuous EEG monitoring in the intensive care unit: an overview. J Clin Neurophysiol. 2004;21(5):332–40.
- Primiani CT, Rivera-Cruz A, Trudeau P, Sullivan L, MacIver S, Benbadis SR. The yield of ambulatory EEG-video monitoring. Clin EEG Neurosci. 2021l;52(4):274–9.
- Ali A, Dindoust D, Grant J, Clarke D. Delivering epilepsy care in low-resource settings: the role of technology. Expert Rev Med Device. 2021;18(sup1):13-23.
- Armand Larsen S, Klok L, Lehn‐Schiøler W, Gatej R, Beniczky S. Low‐cost portable EEG device for bridging the diagnostic gap in resource‐limited areas. Epileptic Disord. 2024;26(5):694–700.
- Kissani N, Lengané YT, Patterson V, Mesraoua B, Dawn E, Ozkara C et al. Telemedicine in epilepsy: how can we improve care, teaching, and awareness?. Epilepsy Behav. 2020;103(Pt A):106854
- Dash D, Hernandez-Ronquillo L, Moien-Afshari F, Tellez-Zenteno JF. Ambulatory EEG: A cost-effective alternative to inpatient video- EEG in adult patients. Epileptic Disord. 2012;14(3):290–7.
- Hasan TF, Tatum IV WO. Ambulatory EEG usefulness in epilepsy management. J Clin Neurophysiol. 2021;38(2):101-11.
- Davey Z, Gupta PB, Li DR, Nayak RU, Govindarajan P. Rapid response EEG: current state and future directions. Curr Neurol Neurosci Rep. 2022;22(12):839–46.
- Alkhaldi M, Joudeh LA, Ahmed YB, Husari KS. Artificial intelligence and telemedicine in epilepsy and EEG: A narrative review. Seizure. 2024;121:204-10.
- Brigo F, Bonavita S, Leocani L, Tedeschi G, Lavorgna L. Telemedicine and the challenge of epilepsy management at the time of COVID-19 pandemic. Epilepsy Behav. 2020;110: 107164.
- Han K, Liu C, Friedman D. Artificial intelligence/machine learning for epilepsy and seizure diagnosis. Epilepsy Behav. 2024;155:109736.
- Rukasha T, I Woolley S, Kyriacou T, Collins T. Evaluation of wearable electronics for epilepsy: A systematic review. Electronics. 2020;9(6):968.
- Kerr WT, McFarlane KN. Machine learning and artificial intelligence applications to epilepsy: a review for the practicing epileptologist. Curr Neurol Neurosci Rep. 2023;23(12):869-79.
- American Clinical Neurophysiology Society. Technical standard 1: standard for transferring digital neurophysiological data between independent computer systems. 2008. Accessed April. 2011;17.
- Tatum WO, Mani J, Jin K, Halford JJ, Gloss D, Fahoum F et al. Minimum standards for inpatient long-term video-EEG monitoring: A clinical practice guideline of the international league against epilepsy and international federation of clinical neurophysiology. Clin Neurophysiol. 2022;134:111-28.
- Tatum WO, Halford JJ, Olejniczak P, Selioutski O, Grigg- Damberger MM, Gloss D et al. Minimum technical requirements for performing ambulatory EEG. J Clin Neurophysiol. 2022;39(6):435-
- López JR, Ahn-Ewing J, Emerson R, Ford C, Gale C, Gertsch JH at al. Guidelines for qualifications of neurodiagnostic personnel: a joint position statement of the American clinical neurophysiology society, the American association of neuromuscular & electrodiagnostic medicine, the American society of neurophysiological monitoring, and ASET—The neurodiagnostic society. J Clin Neurophysiol. 2023;40(4):271-85.
- Monteiro AC, França RP, Arthur R, Iano Y. An overview of medical Internet of Things, artificial intelligence, and cloud computing employed in health care from a modern panorama. The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care. 2021 Aug 12:3-23.
- Xu J, Zhong B. Review on portable EEG technology in educational research. Comput Human Behav. 2018;81:340-9.
- Bommareddy S, Khan JA, Anand R. A review on healthcare data privacy and security. Networking Technologies in Smart Healthcare, 1st end. CRC Press. 2022:165-87.
- Manikandan A, Sanjay T, Menon G, Aswin R, Bhaskar PB, Govind RM, Ramprasad OG. Issues and challenges in security and privacy with e-Healthcare: A thorough literature analysis. Internet of Things enabled Machine Learning for Biomedical Applications. 1st end. CRC Press. 2025:222–47.
How to Cite This Article
Vancouver
Dev JS, Nair AS, TV A, Pillai AM, Parameswaran S. Advancements in remote EEG monitoring: Technology, applications, and future directions [Internet]. IP Indian J Neurosci. 2025 [cited 2025 Oct 17];11(1):3-7. Available from: https://doi.org/10.18231/j.ijn.2025.002
APA
Dev, J. S., Nair, A. S., TV, A., Pillai, A. M., Parameswaran, S. (2025). Advancements in remote EEG monitoring: Technology, applications, and future directions. IP Indian J Neurosci, 11(1), 3-7. https://doi.org/10.18231/j.ijn.2025.002
MLA
Dev, J Soorya, Nair, Arjun S, TV, Anilkumar, Pillai, A Marthanda, Parameswaran, Sajeesh. "Advancements in remote EEG monitoring: Technology, applications, and future directions." IP Indian J Neurosci, vol. 11, no. 1, 2025, pp. 3-7. https://doi.org/10.18231/j.ijn.2025.002
Chicago
Dev, J. S., Nair, A. S., TV, A., Pillai, A. M., Parameswaran, S.. "Advancements in remote EEG monitoring: Technology, applications, and future directions." IP Indian J Neurosci 11, no. 1 (2025): 3-7. https://doi.org/10.18231/j.ijn.2025.002