Peer-Reviewed Journal Details
Mandatory Fields
Faul, S., and Marnane, W.P.,
2012
December
Computer Methods and Programs In Biomedicine
Dynamic, Location-Based Channel Selection for Power Reduction in EEG Analysis
Published
WOS: 15 ()
Optional Fields
EEG, Seizure detection, Channel selection.
108
3
1206
1215
The objective of this study is to develop methods to dynamically select EEG channels to reduce power consumption in seizure detection while maintaining detection accuracy. A method is proposed whereby a number of primary screening channels are predefined. Depending on the classification results of those channels, further channels are selected for analysis. This method provides savings in computational complexity of 43%. A further method called idling is then proposed which increases the computational saving to 75%. The performance of a location-independent, decision-based method is used for comparison. The proposed method achieves better computational savings for the same performance than the decision-based method. The decision-based method was capable of higher overall computational savings, but with a reduction in seizure detection performance. Each method was also implemented with the REACT algorithm on a Blackfin microprocessor and the average power measured. The proposed methods gave a power saving of up to 47% with no reduction in detection performance.
10.1016/j.cmpb.2012.06.005
Grant Details
Science Foundation Ireland
SFI/SRC/07/I1169