Cascade Windows-Based Multi-Stream Convolutional Neural Networks Framework for Early Detecting In-Sleep Stroke Using Wristbands-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Cascade Windows-Based Multi-Stream Convolutional Neural Networks Framework for Early Detecting In-Sleep Stroke Using Wristbands

Published:2023 Issue: Volume:11 Page:84944-84956
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jeon Sanghoon¹^ORCID,Lee Yang-Soo²^ORCID,Son Sang Hyuk³^ORCID

Affiliation:

1. Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, South Korea

2. Department of Physical Medicine and Rehabilitation, School of Medicine, Kyungpook National University, Daegu, South Korea

3. Department of Electrical Engineering and Computer Science, DGIST, Daegu, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

National Research Foundation of Korea (NRF) grant funded by the Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10208220.pdf?arnumber=10208220

Reference55 articles.

1. Wake-Up Stroke and Stroke of Unknown Onset: A Critical Review

2. What to do With Wake-Up Stroke

3. A Multicenter, Randomized, Double-Blind, Placebo-Controlled Trial to Test Efficacy and Safety of Magnetic Resonance Imaging-Based Thrombolysis in Wake-up Stroke (WAKE-UP)

4. Wake-Up Stroke versus Stroke with Known Onset Time: Clinical and Multimodality CT Imaging Characteristics

5. Integrated Churn Prediction and Customer Segmentation Framework for Telco Business

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint);2024-05-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3