@inproceedings{957694c6c6974a74ba2e252b8c874cc9,
title = "Web-based remote monitoring of live EEG",
abstract = "In a critical care setting, delays in the diagnosis of neurological conditions can have a significant impact on patient outcomes. Recording the electrical activity of the brain (EEG) is often used to diagnose and monitor neurological conditions. A trained neurophysiologist is then required to analyse these signals. However, in many cases this expertise is not available on-site. A web-based remote monitoring system for EEG data is presented that reduces the delays that can arise when off-site expert analysis is required. The system allows EEG data to be streamed to a remote location in near-real-time and viewed while acquisition is ongoing. Data streamed earlier may also be reviewed, providing the user with a continually updating view of the entire EEG recording. All communications are performed using web technologies in order to minimise issues with firewalls and to enable analysis on most web-connected pes. The only tool required for viewing EEG data is a modern web browser with the commonly-available Adobe Flash plugin installed. Since these are ubiquitous, data analysis is not limited by geographic location. Moreover, multiple users can independently view the data simultaneously.",
author = "Healy, \{Philip D.\} and O'Reilly, \{Ruairi D.\} and Boylan, \{Geraldine B.\} and Morrison, \{John P.\}",
year = "2010",
doi = "10.1109/HEALTH.2010.5556574",
language = "English",
isbn = "9781424463749",
series = "12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010",
publisher = "IEEE Computer Society",
pages = "169--174",
booktitle = "12th IEEE International Conference on e-Health Networking, Application and Services, Healthcom 2010",
address = "United States",
}