Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhenhua Sang"'
Publikováno v:
Journal of Central Nervous System Disease, Vol 16 (2024)
Background Stroke patients with coexisting intracranial artery stenosis (ICAS) and white matter lesions (WML) usually have a poor outcome. However, how WML affects stroke prognosis has not been determined. Objective To investigate the quantitative fo
Externí odkaz:
https://doaj.org/article/edd19206ff7840a3b3293164bfadd788
Autor:
Chenxiang Cao, Zhenhua Sang, Jianzhong Xiao, Chongyang Bi, Zhaoxiang Liu, Caihong Li, Victor Bernet
BACKGROUND Hospital hyperglycemia is common and associated with potential adverse outcomes. A Hospital-wide Mobile Phone Alert (HMA) system was built to achieve real time glucose monitoring with warnings for glucose excursions. This study investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2bc7c6683a414364903e18395c6d36
https://doi.org/10.22541/au.160978549.91505716/v1
https://doi.org/10.22541/au.160978549.91505716/v1
Publikováno v:
2019 International Conference on Computational Science and Computational Intelligence (CSCI).
Data is useful to the extent that it can be quickly analyzed to reveal valuable information. With high-quality data, we can increase revenue, reduce cost, and reduce risk. On the other hand, the consequences of poor-quality data can be severe. It has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e705dcdb6e79bec5202d7318492690
https://doi.org/10.1109/csci49370.2019.00244
https://doi.org/10.1109/csci49370.2019.00244
Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points
Autor:
Weijie Ji, Sifan Yang, Long Meng, Zhourui Xia, Yanlin Chen, Yutong Guo, Zhenhua Sang, Chenguang Han
Publikováno v:
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting ISBN: 9783030333263
MLMECH/CVII-STENT@MICCAI
MLMECH/CVII-STENT@MICCAI
Electrocardiogram (ECG) signals are widely used in the medical diagnosis of heart disease. Automatic extraction of relevant and reliable information from ECG signals is a tough challenge for computer systems. This study proposes a novel 12-lead elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b4a4b2f8c5186743694ac5f5605338
https://doi.org/10.1007/978-3-030-33327-0_10
https://doi.org/10.1007/978-3-030-33327-0_10
Publikováno v:
EMBC
Detection of ECG characteristic points serves as the first step in automated ECG analysis techniques. We propose a novel end-to-end deep learning scheme called Region Aggregation Network (RAN) for ECG characteristic points de- tection. A 1D Convoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a0cfa9c2884f36050b4437f6ba02ce
https://doi.org/10.1109/embc.2018.8512789
https://doi.org/10.1109/embc.2018.8512789