Electrocardiography is the gold standard technique for detecting abnormal heart conditions. Automatic detection of electrocardiogram (ECG) abnormalities helps clinicians analyze the …
SMP Dinakarrao, A Jantsch, M Shafique - ACM Computing Surveys …, 2019 - dl.acm.org
Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient. One such bio-signal of paramount importance is the electrocardiogram (ECG), which …
SM Ahsanuzzaman, T Ahmed… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) has been the golden standard for the detection of cardiovascular disease for many years. Any electrical impulse disruption that causes the heart to the …
An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great …
J Park, S Lee, K Kang - … Conference of the IEEE Engineering in …, 2015 - ieeexplore.ieee.org
A number of promising studies have been proposed for diagnosing arrhythmia, using classification techniques based on a variety of heartbeat features by the interpretation of …
Abstract The Internet of Things (IoT) holds big promises for healthcare, especially in proactive personal eHealth. Prediction of symptomatic crises in chronic diseases in the IoT …
S Ilbeigipour, A Albadvi… - Journal of Healthcare …, 2021 - Wiley Online Library
One of the major causes of death in the world is cardiac arrhythmias. In the field of healthcare, physicians use the patient's electrocardiogram (ECG) records to detect …
X Wang, J Lv, BG Kim… - … on Fuzzy Systems, 2024 - ieeexplore.ieee.org
Electrocardiogram (ECG) analysis and diagnosis are important auxiliary means for preventing and detecting cardiovascular diseases. Traditional approaches often face …
An electrocardiogram (ECG) is a non-linear and nonstationary diagnostic biomedical signal that has a great importance for cardiac disorders. The computer-assisted analysis of …