TY - GEN
T1 - Quantifying the performance of compressive sensing on scalp EEG signals
AU - Abdulghani, Amir M.
AU - Casson, Alexander J.
AU - Rodriguez-Villegas, Esther
PY - 2010
Y1 - 2010
N2 - Compressive sensing is a new data compression paradigm that has shown significant promise in fields such as MRI. However, the practical performance of the theory very much depends on the characteristics of the signal being sensed. As such the utility of the technique cannot be extrapolated from one application to another. Electroencephalography (EEG) is a fundamental tool for the investigation of many neurological disorders and is increasingly also used in many non-medical applications, such as Brain-Computer Interfaces. This paper characterises in detail the practical performance of different implementations of the compressive sensing theory when applied to scalp EEG signals for the first time. The results are of particular interest for wearable EEG communication systems requiring low power, real-time compression of the EEG data.
AB - Compressive sensing is a new data compression paradigm that has shown significant promise in fields such as MRI. However, the practical performance of the theory very much depends on the characteristics of the signal being sensed. As such the utility of the technique cannot be extrapolated from one application to another. Electroencephalography (EEG) is a fundamental tool for the investigation of many neurological disorders and is increasingly also used in many non-medical applications, such as Brain-Computer Interfaces. This paper characterises in detail the practical performance of different implementations of the compressive sensing theory when applied to scalp EEG signals for the first time. The results are of particular interest for wearable EEG communication systems requiring low power, real-time compression of the EEG data.
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U2 - 10.1109/ISABEL.2010.5702814
DO - 10.1109/ISABEL.2010.5702814
M3 - Conference contribution
AN - SCOPUS:79952010197
SN - 9781424481323
T3 - 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
BT - 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
T2 - 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
Y2 - 7 November 2010 through 10 November 2010
ER -