Zobrazeno 1 - 10
of 1 255
pro vyhledávání: '"Arrhythmia detection"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The multi-lead electrocardiogram (ECG) is widely utilized in clinical diagnosis and monitoring of cardiac conditions. The advancement of deep learning has led to the emergence of automated multi-lead ECG diagnostic networks, which have becom
Externí odkaz:
https://doaj.org/article/bdae1f5efb0b48c097bf6057df22fee6
Autor:
Shanliang Deng, Bram L den Ouden, Tim De Coster, Cindy I Bart, Wilhelmina H Bax, René H Poelma, Antoine AF de Vries, Guo Qi Zhang, Vincent Portero, Daniël A Pijnappels
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 11, Pp n/a-n/a (2024)
Abstract The heart produces bioelectrical signals, which can be measured as an electrocardiogram (ECG) for the detection of rhythm disturbances. Rapid and precise detection of these arrhythmias is crucial for their termination by closed‐looped ther
Externí odkaz:
https://doaj.org/article/dd8403173be841acbac2015c78d8c49a
Autor:
Ali Bayani, Masoud Kargar
Publikováno v:
Physiological Reports, Vol 12, Iss 17, Pp n/a-n/a (2024)
Abstract The electrocardiogram (ECG) is a fundamental and widely used tool for diagnosing cardiovascular diseases. It involves recording cardiac electrical signals using electrodes, which illustrate the functioning of cardiac muscles during contracti
Externí odkaz:
https://doaj.org/article/c622e666580a4d1d8bef001a0deac894
Autor:
Enes Efe, Emrehan Yavsan
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 5863-5880 (2024)
Within the domain of cardiovascular diseases, arrhythmia is one of the leading anomalies causing sudden deaths. These anomalies, including arrhythmia, are detectable through the electrocardiogram, a pivotal component in the analysis of heart diseases
Externí odkaz:
https://doaj.org/article/8bdd1ad8018c4e829ff5576989d698e3
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33089- (2024)
This paper outlines the development of the ‘Cardiac Abnormality Monitoring’ wearable medical device, aimed at creating a compact safety monitor integrating advanced Artificial Neural Network (ANN) algorithms. Given power consumption constraints a
Externí odkaz:
https://doaj.org/article/76b3224953a44b52a1aa5dcea4684991
Publikováno v:
Sensors, Vol 24, Iss 14, p 4558 (2024)
In recent years, the incidence of cardiac arrhythmias has been on the rise because of changes in lifestyle and the aging population. Electrocardiograms (ECGs) are widely used for the automated diagnosis of cardiac arrhythmias. However, existing model
Externí odkaz:
https://doaj.org/article/886339674f954a72850e7f3e7773702d
Autor:
Kanchan Sharma, Ramesh Kumar Sunkaria
Publikováno v:
Journal of Arrhythmia, Vol 39, Iss 3, Pp 412-421 (2023)
Abstract Background Accurate arrhythmia (atrial fibrillation (AF) and congestive heart failure (CHF)) detection is still a challenge in the biomedical signal‐processing field. Different linear and nonlinear measures of the electrocardiogram (ECG) s
Externí odkaz:
https://doaj.org/article/e87437ff32fc4365917ac1b2e1158013
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Cardiovascular diseases are a leading cause of mortality globally. Electrocardiography (ECG) still represents the benchmark approach for identifying cardiac irregularities. Automatic detection of abnormalities from the ECG can aid in the early detect
Externí odkaz:
https://doaj.org/article/ab23b9734a18477481a164d99f227e48
Autor:
Xunde Dong, Wenjie Si
Publikováno v:
IEEE Access, Vol 11, Pp 87071-87086 (2023)
Arrhythmias are a significant class of cardiovascular diseases, and timely and accurate detection is critical in preventing high-risk events such as sudden cardiac death. Despite the attention that automatic detection of arrhythmias based on electroc
Externí odkaz:
https://doaj.org/article/cc01eeba418041679b6e667d2de95529
Publikováno v:
Sensors, Vol 24, Iss 3, p 999 (2024)
Analog-to-feature (A2F) conversion based on non-uniform wavelet sampling (NUWS) has demonstrated the ability to reduce energy consumption in wireless sensors while employed for electrocardiogram (ECG) anomaly detection. The technique involves extract
Externí odkaz:
https://doaj.org/article/eb882deec3a448daa08702164df0f70e