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
