P08050: Remote EEG Monitoring

Home

Table of Contents

1 Project Overview
2 Administrative Information
3 Team Documents

Project Overview

Currently the US has a large population of individuals with neurological disorders. It is very important to monitor these cases for the early detection of emergencies and worsening conditions. Given the medical industry's rising costs; inexpensive, mobile and automated systems of patient monitoring are becoming an industry imperative. Electroencephalography (EEG), a non-invasive measurement of the brain's electrical activity, is a well-established method for the detection and classification of brain function. Despite a long history of clinical use, these devices have not gained widespread use as disease prevention and monitoring tools. It is possible that a versatile and low-cost EEG monitoring system would change this trend.

A Remote EEG Sensor System will be designed to collect EEG data and provide visual feedback to a remote computer. The system consists of one or more low-power, portable EEG devices which are interfaced directly with a wireless mesh network. Data from multiple persons wearing the portable EEG device can be simultaneously collected, stored, aggregated and analyzed in real time.

A standard personal computer is used as an observer's interface to the wireless network, and a software package will allow the observer to establish wireless connections to the EEG devices, configure the devices for the subjects and update protocols for handling, storing and analyzing collected data.

Administrative Information

Project Name: Remote Monitoring of EEG Signal Through Wireless Sensor Networks
Project Number: P08050
Project Family: Biomedical monitoring
Track: Assistive Devices/Bioengineering
Start Term: 2007-1 (Fall 2007)
End Term: 2007-2 (Winter 2007)
Faculty Guide: Dr. Dan Phillips (EE)
Faculty Consultant: Dr. Fei Hu (CE)
Primary Customer: Dr. Fei Hu - email
Team Members: Ankit Bhutani; Jonathan Finamore; John Frye; Zach McGarvey; Dan Pontillo (Lead)