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Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection | IEEE Conference Publication | IEEE Xplore

Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection


Abstract:

We present for the first time a μW-power convolutional neural network for seizure detection running on a low-power microcontroller. On a dataset of 22 patients a median s...Show More

Abstract:

We present for the first time a μW-power convolutional neural network for seizure detection running on a low-power microcontroller. On a dataset of 22 patients a median sensitivity of 100% is achieved. With a false positive rate of 20.7 fp/h and a short detection delay of 3.4 s it is suitable for the application in an implantable closed-loop device.
Date of Conference: 18-21 July 2018
Date Added to IEEE Xplore: 28 October 2018
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ISSN Information:

PubMed ID: 30440858
Conference Location: Honolulu, HI, USA

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