Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Lishen Qiu"'
Publikováno v:
Micromachines, Vol 14, Iss 6, p 1155 (2023)
The electrocardiogram (ECG) is a highly effective non-invasive tool for monitoring heart activity and diagnosing cardiovascular diseases (CVDs). Automatic detection of arrhythmia based on ECG plays a critical role in the early prevention and diagnosi
Externí odkaz:
https://doaj.org/article/b27710f017c445609edf25751d74dff8
Publikováno v:
Biomedical Signal Processing and Control. 85:104804
Publikováno v:
ICIC Express Letters, Part B: Applications; Jul2024, Vol. 15 Issue 7, p733-740, 8p
Publikováno v:
Physiological measurement. 43(11)
Objective. Electrocardiogram (ECG) signals are easily polluted by various noises which are likely to have adverse effects on subsequent interpretations. Research on model lightweighting can promote the practical application of deep learning-based ECG
Publikováno v:
Biomedical Signal Processing and Control. 81:104436
Publikováno v:
Biomedical Signal Processing and Control. 80:104302
Publikováno v:
Physiological measurement. 43(7)
Objective. Supraventricular ectopic beats (SVEB) or ventricular ectopic beats (VEB) are common arrhythmia with uncertain occurrence and morphological diversity, so realizing their automatic localization is of great significance in clinical diagnosis.
Publikováno v:
Physiological measurement. 43(3)
Objective. The arrhythmia identification method based on the U-net has the potential for fast application. The RR-intervals have been proven to improve the performance of single-heartbeat identification methods. However, because both the heartbeats n
Publikováno v:
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
Publikováno v:
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).