TY - JOUR
T1 - Low-power architecture for epileptic seizure detection based on reduced complexity DWT
AU - Sharad, Mrigank
AU - Gupta, Sumeet K.
AU - Raghunathan, Shriram
AU - Irazoqui, Pedro P.
AU - Roy, Kaushik
PY - 2012/6
Y1 - 2012/6
N2 - In this article, we present a low-power, user-programmable architecture for discrete wavelet transform (DWT) based epileptic seizure detection algorithm. A simplified, low-pass filter (LPF)-only-DWT technique is employed in which energy contents of different frequency bands are obtained by subtracting quasiaveraged, consecutive LPF outputs. Training phase is used to identify the range of critical DWT coefficients that are in turn used to set patient-specific system level parameters for minimizing power consumption. The proposed optimizations allow the design to work at significantly lower power in the normal operation mode. The systemhas been tested on neural data obtained from kainate-treated rats. The design was implemented in TSMC-65nm technology and consumes less than 550-nW power at 250-mV supply.
AB - In this article, we present a low-power, user-programmable architecture for discrete wavelet transform (DWT) based epileptic seizure detection algorithm. A simplified, low-pass filter (LPF)-only-DWT technique is employed in which energy contents of different frequency bands are obtained by subtracting quasiaveraged, consecutive LPF outputs. Training phase is used to identify the range of critical DWT coefficients that are in turn used to set patient-specific system level parameters for minimizing power consumption. The proposed optimizations allow the design to work at significantly lower power in the normal operation mode. The systemhas been tested on neural data obtained from kainate-treated rats. The design was implemented in TSMC-65nm technology and consumes less than 550-nW power at 250-mV supply.
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U2 - 10.1145/2180878.2180882
DO - 10.1145/2180878.2180882
M3 - Article
AN - SCOPUS:84863905313
SN - 1550-4832
VL - 8
JO - ACM Journal on Emerging Technologies in Computing Systems
JF - ACM Journal on Emerging Technologies in Computing Systems
IS - 2
M1 - 10
ER -