Real-Time Epilepsy Detection with IMU and Low Power Processor Design-Reference-Cited by-同舟云学术

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Real-Time Epilepsy Detection with IMU and Low Power Processor Design

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 14th Biomedical Engineering International Conference (BMEiCON)
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Author:

Su Yu-Ju¹,Wen Kuei-Ann¹,Cheng Mei-Yun²,Chang Chen-Nen³

Affiliation:

1. Institute of Electronics National Yang Ming Chiao Tung University,Hsinchu,Taiwan

2. Chang Gung University,Chang Gung Memorial Hospital and College of Medicine,Department of Neurology Linkou Medical Center,Taoyuan,Taiwan

3. Chang Gung University,College of medicine,Department of Neurosurgery Keelung Chang Gung Memorial Hospital,Keelung,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10011576/10011577/10012112.pdf?arnumber=10012112

Reference13 articles.

1. EDM: A multiclassification support system to identify seizure type using K Nearest Neighbor

2. Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble

3. ScoreNet: A Neural Network-Based Post-Processing Model for Identifying Epileptic Seizure Onset and Offset in EEGs

4. Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection

5. Biomedical sensors and IoT platform utilisation for neurological applications and health event recognitions;chmielewski;1st International Conference on Optimization-Driven Architectural Design,2019

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