中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [18]
沈阳自动化研究所 [6]
心理研究所 [4]
苏州纳米技术与纳米仿... [3]
上海药物研究所 [2]
合肥物质科学研究院 [2]
更多
采集方式
OAI收割 [40]
内容类型
期刊论文 [28]
会议论文 [9]
学位论文 [3]
发表日期
2023 [2]
2022 [2]
2021 [4]
2020 [5]
2019 [1]
2018 [3]
更多
学科主题
人工智能 [1]
筛选
浏览/检索结果:
共40条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Pre-training in Medical Data: A Survey
期刊论文
OAI收割
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:
Yixuan Qiu
;
Feng Lin
;
Weitong Chen
;
Miao Xu
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/23
Medical data
pre-training
transfer learning
self-supervised learning
medical image data
electrocardiograms (ECG) data
ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding
期刊论文
OAI收割
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 697-706
作者:
Kui-Kui Wang
;
Gong-Ping Yang
;
Lu Yang
;
Yu-Wen Huang
;
Yi-Long Yin
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/23
Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation
A method to detect sleep apnea using residual attention mechanism network from single-lead ECG signal
期刊论文
OAI收割
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2022
作者:
Wang, Tao
;
Lu, Changhua
;
Sun, Yining
;
Fang, Hengyang
;
Jiang, Weiwei
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/12/23
attention mechanism
ECG signal
R-peak signal
residual network
RR interval signal
sleep apnea
When the approaching threat is uncertain: Dynamics of defensive motivation and attention in trait anxiety
期刊论文
OAI收割
PSYCHOPHYSIOLOGY, 2022, 页码: 16
作者:
Qiao, Zhiling
;
Pan, Dong-ni
;
Hoid, Delhii
;
van Winkel, Ruud
;
Li, Xuebing
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2022/05/02
ECG
EMG
ERP
threat
trait anxiety
uncertainty
Localization of myocardial infarction with multi-lead ECG based on DenseNet
期刊论文
OAI收割
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 203, 页码: 8
作者:
Xiong, Peng
;
Xue, Yanping
;
Zhang, Jieshuo
;
Liu, Ming
;
Du, Haiman
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/05/31
Multi-lead ECG
DenseNet
Structural characteristics
Myocardial infarction
The neurodevelopment of delay discounting for monetary rewards in pre-adolescent children
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2021, 卷号: 11, 期号: 1, 页码: 18
作者:
Yu, Mei
;
Liu, Tongran
;
Shangguan, Fangfang
;
Sui, Jingxin
;
Shi, Jiannong
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/06/09
ECG
psychological stress
deep learning
attention
CNN
BiLSTM
Psychological Stress Detection According to ECG Using a Deep Learning Model with Attention Mechanism
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 6, 页码: 15
作者:
Zhang, Pengfei
;
Li, Fenghua
;
Du, Lidong
;
Zhao, Rongjian
;
Chen, Xianxiang
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/06/09
ECG
psychological stress
deep learning
attention
CNN
BiLSTM
Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
期刊论文
OAI收割
ENTROPY, 2021, 卷号: 23
作者:
Wang, Tao
;
Lu, Changhua
;
Sun, Yining
;
Yang, Mei
;
Liu, Chun
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/15
arrhythmia
continuous wavelet transform
convolutional neural network
deep learning
ECG classification
heartbeat classification
Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks
期刊论文
OAI收割
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 5, 页码: 1321-1332
作者:
Niu, Jinghao
;
Tang, Yongqiang
;
Sun, Zhengya
;
Zhang, Wensheng
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/06/22
Heart beat
Electrocardiography
Heart rate variability
Deep learning
Feature extraction
Task analysis
Informatics
ECG classification
biomedical monitoring
convolutional neural network
deep learning
No-contactHeartRatemonitoringbasedonChannelAttentionConvolution Model
会议论文
OAI收割
Hangzhou, China, 2019-10
作者:
WenSun
;
HaoWei
;
XueenLi
;
Wei, Hao
;
Li, Xueen
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/06/12
HeartRate,ChannelAttentionMechanism, ConvolutionNeuralNetwork,ECG-fitness Dataset