TY - GEN
T1 - Real time EEG compression for energy-aware continous mobile monitoring
AU - Serhani, Mohamed Adel
AU - El Menshawy, Mohamed
AU - Benharref, Abdelghani
AU - Navaz, Alramzana Nujum
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - EEG-based mobile monitoring is recognized to be a resource-constrained activity because of the limited mobile battery, the intermittent network, and the size of EEG signal generated from continuous monitoring. In this paper, we propose a novel approach combining both EEG compression and mobile resource availability evaluation to boost and save energy for longer monitoring episode. The main core of our approach lies in developing and implementing an algorithm, which evaluates on the fly the compression cost and available resources on the mobile device to decide whether to fully/partially compress the input EEG data or not. We experimentally evaluated and tested the effectiveness of our approach using both offline and online data recorded by the Emotiv EEG device. The obtained results show that our approach significantly saves mobile battery and processing power to cope with critical health situations.
AB - EEG-based mobile monitoring is recognized to be a resource-constrained activity because of the limited mobile battery, the intermittent network, and the size of EEG signal generated from continuous monitoring. In this paper, we propose a novel approach combining both EEG compression and mobile resource availability evaluation to boost and save energy for longer monitoring episode. The main core of our approach lies in developing and implementing an algorithm, which evaluates on the fly the compression cost and available resources on the mobile device to decide whether to fully/partially compress the input EEG data or not. We experimentally evaluated and tested the effectiveness of our approach using both offline and online data recorded by the Emotiv EEG device. The obtained results show that our approach significantly saves mobile battery and processing power to cope with critical health situations.
KW - Compression
KW - EEG
KW - Mobile monitoring
UR - http://www.scopus.com/inward/record.url?scp=84965018005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84965018005&partnerID=8YFLogxK
U2 - 10.1109/ICM.2015.7438046
DO - 10.1109/ICM.2015.7438046
M3 - Conference contribution
AN - SCOPUS:84965018005
T3 - Proceedings of the International Conference on Microelectronics, ICM
SP - 291
EP - 294
BT - 2015 27th International Conference on Microelectronics, ICM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Microelectronics, ICM 2015
Y2 - 20 December 2015 through 23 December 2015
ER -