Zobrazeno 1 - 10
of 125 542
pro vyhledávání: '"Electrocardiograms"'
Autor:
Lence, Alex, Fall, Ahmad, Cohen, Samuel David, Granese, Federica, Zucker, Jean-Daniel, Salem, Joe-Elie, Prifti, Edi
Electrocardiograms (ECGs) are essential for diagnosing cardiac pathologies, yet traditional paper-based ECG storage poses significant challenges for automated analysis. This study introduces ECGtizer, an open-source, fully automated tool designed to
Externí odkaz:
http://arxiv.org/abs/2412.12139
Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being crucial for improving patient outcomes. Current diagnostic methods are often invasive, costly, and inaccessible to many populations. Electrocardiogram (
Externí odkaz:
http://arxiv.org/abs/2412.07737
Autor:
Ding, Zhengyao, Hu, Yujian, Xu, Youyao, Zhao, Chengchen, Li, Ziyu, Mao, Yiheng, Li, Haitao, Li, Qian, Wang, Jing, Chen, Yue, Chen, Mengjia, Wang, Longbo, Chu, Xuesen, Pan, Weichao, Liu, Ziyi, Wu, Fei, Zhang, Hongkun, Chen, Ting, Huang, Zhengxing
Cardiovascular diseases (CVDs) present significant challenges for early and accurate diagnosis. While cardiac magnetic resonance imaging (CMR) is the gold standard for assessing cardiac function and diagnosing CVDs, its high cost and technical comple
Externí odkaz:
http://arxiv.org/abs/2411.13602
Autor:
Karhinoja, Katri, Vasankari, Antti, Sirkiä, Jukka-Pekka, Airola, Antti, Wong, David, Kaisti, Matti
By generating synthetic biosignals, the quantity and variety of health data can be increased. This is especially useful when training machine learning models by enabling data augmentation and introduction of more physiologically plausible variation t
Externí odkaz:
http://arxiv.org/abs/2408.16291
Autor:
Xue, Zhengkai1 (AUTHOR), Geng, Shijia2 (AUTHOR), Guo, Shaohua3 (AUTHOR), Mu, Guanyu4 (AUTHOR), Yu, Bo5 (AUTHOR), Wang, Peng5 (AUTHOR), Hu, Sutao1 (AUTHOR), Zhang, Deyun2 (AUTHOR), Xu, Weilun2 (AUTHOR), Liu, Yanhong6,7 (AUTHOR), Yang, Lei6 (AUTHOR), Tao, Huayue8 (AUTHOR) 85987780@qq.com, Hong, Shenda9,10,11,12 (AUTHOR) hongshenda@pku.edu.cn, Chen, Kangyin1,13 (AUTHOR) chenkangyin@vip.126.com
Publikováno v:
BMC Medical Informatics & Decision Making. 11/22/2024, Vol. 24 Issue 1, p1-15. 15p.
Autor:
Makimoto, Hisaki1,2,3,4 (AUTHOR) h1sak1mak1m0t0@gmail.com, Okatani, Takayuki2 (AUTHOR) masanori.suganuma.b4@tohoku.ac.jp, Suganuma, Masanori2 (AUTHOR), Kabutoya, Tomoyuki1 (AUTHOR) takahide.kohro@jichi.ac.jp, Kohro, Takahide1,3 (AUTHOR) y-ogata@jichi.ac.jp, Agata, Yukiko1 (AUTHOR) haradak@jichi.ac.jp, Ogata, Yukiyo1 (AUTHOR) kkario@jichi.ac.jp, Harada, Kenji1 (AUTHOR), Llubani, Redi4 (AUTHOR) alexandru.bejinariu@med.uni-duesseldorf.de, Bejinariu, Alexandru4 (AUTHOR) obaida.rana@med.uni-duesseldorf.de, Rana, Obaida R.4 (AUTHOR) malte.kelm@med.uni-duesseldorf.de, Makimoto, Asuka4,5 (AUTHOR), Gharib, Elisabetha4 (AUTHOR), Meissner, Anita4 (AUTHOR), Kelm, Malte4,6 (AUTHOR), Kario, Kazuomi1 (AUTHOR)
Publikováno v:
Bioengineering (Basel). Nov2024, Vol. 11 Issue 11, p1069. 12p.
Autor:
Lukyanenko, Platon, Mayourian, Joshua, Liu, Mingxuan, Triedman, John K., Ghelani, Sunil J., La Cava, William G.
Several recent high-impact studies leverage large hospital-owned electrocardiographic (ECG) databases to model and predict patient mortality. MIMIC-IV, released September 2023, is the first comparable public dataset and includes 800,000 ECGs from a U
Externí odkaz:
http://arxiv.org/abs/2406.17002
Autor:
Li, Yao, Luo, Xuanyu, Zhao, Haowen, Cui, Jiawen, She, Yangfan, Li, Dongfang, Jiang, Lai, Zhang, Xu
Abdominal electrocardiogram (AECG) gives a safe and non-invasive way to monitor fetal well-being during pregnancy using surface electrodes. However, it is challenging to extract weak fetal ECG (fECG) from the AECG recordings with larger maternal ECG
Externí odkaz:
http://arxiv.org/abs/2406.01281
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