Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Haiman, Du"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-15 (2023)
Abstract Background and objective Sudden cardiac death (SCD) is one of the leading causes of death in cardiovascular diseases. Monitoring the state of the heart in real time and giving early warning of possible dangers by using ambulate electrocardio
Externí odkaz:
https://doaj.org/article/2a5deb1d1bf044f9afb31bb9f090e3a1
Autor:
Jieshuo Zhang, Feng Lin, Peng Xiong, Haiman Du, Hong Zhang, Ming Liu, Zengguang Hou, Xiuling Liu
Publikováno v:
IEEE Access, Vol 7, Pp 70634-70642 (2019)
Novel techniques in deep learning networks are proposed for the staked sparse autoencoder (SAE) and the bagged decision tree (TreeBagger), achieving significant improvement in detection and localization of myocardial infarction (MI) from single-lead
Externí odkaz:
https://doaj.org/article/211aa0890bac42a990c7bd980c35012e
Autor:
Xiuling Liu, Zeng-Guang Hou, Haiman Du, Ming Liu, Peng Xiong, Hong Zhang, Jieshuo Zhang, Guoming Sun
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-15
Myocardial infarction (MI) causes rapid and permanent damage to the heart muscle. Without timely diagnosis and treatment, it will deteriorate the myocardial structure and function. The precise localization of MI based on 12-lead electrocardiogram (EC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a24554f2efe7a0f16872d831a277947
https://doi.org/10.1109/tim.2021.3104394
https://doi.org/10.1109/tim.2021.3104394
Autor:
Jieshuo Zhang, Ming Liu, Peng Xiong, Haiman Du, Jianli Yang, Jinpeng Xu, Zengguang Hou, Xiuling Liu
Publikováno v:
IEEE transactions on bio-medical engineering.
Myocardial infarction (MI) causes rapid and permanent damage to the heart muscle. Therefore, it can deteriorate the myocardial structure and function if not timely diagnosed and treated. However, it is difficult to determine the precise localization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d138628e6fc662098d3deeff1e944d02
https://pubmed.ncbi.nlm.nih.gov/36040933
https://pubmed.ncbi.nlm.nih.gov/36040933
Publikováno v:
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 39(4)
ST segment morphology is closely related to cardiovascular disease. It is used not only for characterizing different diseases, but also for predicting the severity of the disease. However, the short duration, low energy, variable morphology and inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f4756ed62182382ea42c1048454388fb
https://pubmed.ncbi.nlm.nih.gov/36008334
https://pubmed.ncbi.nlm.nih.gov/36008334
Autor:
Peng Xiong, Jing Li, Ming Liu, Jieshuo Zhang, Jianli Yang, Hong Zhang, Haiman Du, Xiuling Liu
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06e3acb1a52b36b7bef7dd420b29be73
https://doi.org/10.2139/ssrn.4098697
https://doi.org/10.2139/ssrn.4098697
Autor:
Cong He, Ming Liu, Peng Xiong, Jianli Yang, Haiman Du, Jinpeng Xu, Zengguang Hou, Xiuling Liu
Publikováno v:
Engineering Applications of Artificial Intelligence. 116:105428
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c94bb0b90f7e27c823ddfd33a2e1211
https://doi.org/10.1016/j.engappai.2022.105428
https://doi.org/10.1016/j.engappai.2022.105428
Autor:
Xiuling Liu, Peng Xiong, Zeng-Guang Hou, Feng Lin, Haiman Du, Ming Liu, Hao Huaqing, Hong Zhang
Publikováno v:
Engineering Applications of Artificial Intelligence. 79:34-44
The electrocardiogram (ECG) denoising is of paramount importance for accurate disease diagnosis, but individual differences bring great difficulties for ECG denoising, especially for Dynamic Electrocardiography (DCG). In this paper, a multi-lead mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::139989950dc78b0ad673eef66ff65f3e
https://doi.org/10.1016/j.engappai.2018.12.004
https://doi.org/10.1016/j.engappai.2018.12.004
Autor:
Zeng-Guang Hou, Xiuling Liu, Haiman Du, Feng Lin, Jieshuo Zhang, Peng Xiong, Hong Zhang, Ming Liu
Publikováno v:
IEEE Access, Vol 7, Pp 70634-70642 (2019)
Novel techniques in deep learning networks are proposed for the staked sparse autoencoder (SAE) and the bagged decision tree (TreeBagger), achieving significant improvement in detection and localization of myocardial infarction (MI) from single-lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9404a35017cfab20335a3839d428a6b2
https://doi.org/10.1109/access.2019.2919068
https://doi.org/10.1109/access.2019.2919068
Autor:
Xiuling Liu, Haiman Du, Hong Zhang, Ming Liu, Hongrui Wang, Peng Xiong, Zeng-Guang Hou, Jieshuo Zhang, Yanping Xue
Publikováno v:
Computer methods and programs in biomedicine. 203
Background and Objective: Myocardial infarction (MI) is a critical acute ischemic heart disease, which can be early diagnosed by electrocardiogram (ECG). However, the most research of MI localization pay more attention on the specific changes in ever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13fe56ecedb46e3babc1468e76997b6
https://pubmed.ncbi.nlm.nih.gov/33743488
https://pubmed.ncbi.nlm.nih.gov/33743488