A Key Power Trade-off in Wireless EEG Headset Design

Author

Yates, David C. ; Rodriguez-Villegas, Esther

Author_Institution

the Dept. of Electr. & Electron. Eng., Imperial Coll. London

fYear

2007

fDate

2-5 May 2007

Firstpage

453

Lastpage

456

Abstract

The development of wireless ambulatory EEG is crucial in enabling the longer term monitoring of a patient in their everyday environment. The analysis presented here will aid the designer of a wireless EEG headset in improving the ratio of battery lifetime to battery size, with the aim of minimising the size and weight of the device. Data compression is proposed as a method to reduce the power used by the wireless transceiver, shown to dominate the system power budget. Graphs are presented which show the power available to perform varying degrees of compression in order to achieve the required lifetime or battery volume

Keywords

data compression; electroencephalography; graph theory; mobile computing; patient monitoring; transceivers; data compression; graphs; patient monitoring; wireless EEG headset design; wireless ambulatory EEG; wireless transceiver; Batteries; Data compression; Diseases; Electrodes; Electroencephalography; Energy consumption; Neural engineering; Patient monitoring; Transceivers; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on

Conference_Location

Kohala Coast, HI

Print_ISBN

1-4244-0792-3

Electronic_ISBN

1-4244-0792-3

Type

conf

DOI

10.1109/CNE.2007.369707

Filename

4227312