Title :
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
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;
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
DOI :
10.1109/CNE.2007.369707
