A 96.2nJ/class Neural Signal Processor with Adaptable Intelligence for Seizure Prediction-Reference-Cited by-同舟云学术

A 96.2nJ/class Neural Signal Processor with Adaptable Intelligence for Seizure Prediction

Published:2022-02-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Solid- State Circuits Conference (ISSCC)
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Author:

Hsieh Yi-Yen¹,Lin Yu-Cheng¹,Yang Chia-Hsiang¹

Affiliation:

1. National Taiwan University,Taipei,Taiwan

Funder

Ministry of Science and Technology (MOST) of Taiwan

Intelligent & Sustainable Medical Electronics Research Fund in National Taiwan University

Taiwan Semiconductor Research Institute (TSRI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731529/9731102/09731759.pdf?arnumber=9731759

Reference6 articles.

1. Seizure Prediction Using Undulated Global and Local Features

2. Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction

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4. Support Vector Machine Classifier via L0/1 Soft-Margin Loss;wang;IEEE Trans on Pattern Analysis and Machine Intelligence Early Access,2019

5. A One-Shot Learning, Online-Tuning, Closed-Loop Epilepsy Management SoC with 0.97?J/Classification and 97.8% Vector-Based Sensitivity;zhang;IEEE Symp VLSI Circuits,0

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