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Conf Proc IEEE Eng Med Biol Soc · Jan 2013
Seizure detection methods using a cascade architecture for real-time implantable devices.
- Taehoon Kim, N Sertac Artan, Ivan W Selesnick, and H Jonathan Chao.
- Conf Proc IEEE Eng Med Biol Soc. 2013 Jan 1;2013:1005-8.
AbstractImplantable high-accuracy, and low-power seizure detection is a challenge. In this paper, we propose a cascade architecture to combine different seizure detection algorithms to optimize power and accuracy of the overall seizure detection system. The proposed architecture consists of a cascade of two seizure detection stages. In the first-stage detector, a lightweight (low-power) algorithm is used to detect seizure candidates with the understanding that there will be a high number of false positives. In the second-stage detector-and only for the seizure candidates detected in the first detector-a high-accuracy algorithm is used to eliminate the false positives. We show that the proposed cascade architecture can reduce power consumption of seizure detection by 80% with high accuracy, offering a suitable option for real-time implantable seizure detectors.
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