Paper Info
Title
Low-power DWT-based quasi-averaging algorithm and architecture for epileptic seizure detection
Abstract
In this paper, we have developed a low-complexity algorithm for epileptic seizure detection with a high degree of accuracy. The algorithm has been designed to be feasibly implementable as battery-powered low-power implantable epileptic seizure detection system or epilepsy prosthesis. This is achieved by utilizing design optimization techniques at different levels of abstraction. Particularly, user-specific critical parameters are identified at the algorithmic level and are explicitly used along with multiplier-less implementations at the architecture level. The system has been tested on neural data obtained from in-vivo animal recordings and has been implemented in 90nm bulk-Si technology. The results show up to 90 % savings in power as compared to prevalent wavelet based seizure detection technique while achieving 97% average detection rate.
Year
DOI
Venue
2010
10.1145/1840845.1840907
ISLPED
Keywords
Field
DocType
design optimization,algorithm design and analysis,finite impulse response filter,biomedical,computer architecture
Seizure detection,Algorithm design,Computer science,Algorithm,Epilepsy,Electronic engineering,Epileptic seizure,Finite impulse response,Wavelet
Conference
Citations 
PageRank 
References 
7
0.79
6
Authors
5
Name
Order
Citations
PageRank
Himanshu Markandeya171.13
Georgios Karakonstantis231737.08
R. Shriram3375.83
Pedro Irazoqui4444.84
Kaushik Roy57093822.19