Answers are grounded in this paper and cite their sources.
Background Traditional ambulatory electroencephalography (EEG) and inpatient epilepsy monitoring unit (EMU) admissions face significant operational limitations including: short recording windows (typically 24–72 h), high costs, technician shortages, and physical restrictions on daily activities. Methods This article presents clinical utility frameworks and three illustrative real-world case studies utilizing the REMI Remote EEG Monitoring System—a wireless, wearable 4-sensor electrode-setup (10-channel EEG montage system) montage system integrated with cloud data transmission and post-acquisition artificial intelligence (AI) electrographic seizure detection algorithms. Results In Case 1, a 39-year-old female with suspected recurrent epilepsy experienced three focal seizures after the standard 72-h monitoring window, allowing initiation of targeted antiseizure therapy. In Case 2, extended monitoring in a 57-year-old male with long-standing epilepsy experiencing new exercise-induced symptoms ruled out electrographic seizures, avoiding unnecessary medication escalation. In Case 3, a 52-year-old male with worsening episodic déjà vu exhibited focal interictal rhythmic activity, providing objective data to guide shared decision-making and successful initiation of antiseizure treatment. Conclusion Extended-duration remote EEG monitoring bridges key diagnostic gaps by offering flexible, real-world data collection over extended timeframes (up to 30 days). This approach optimizes clinical triage, clarifies event etiology, and improves ambulatory epilepsy care without overburdening tertiary health care infrastructure.
No takes yet. Share an insight, caveat, or question.
Timothy Ryan (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: