Electrocardiogram monitoring wearable devices and artificial-intelligence-enabled diagnostic capabilities: a review
L Neri, MT Oberdier, KCJ van Abeelen, L Menghini… - Sensors, 2023 - mdpi.com
Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …
A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …
QRS complex detection using novel deep learning neural networks
W Cai, D Hu - IEEE Access, 2020 - ieeexplore.ieee.org
Objective: Accurate QRS complex detection is essential for electrocardiography (ECG)
diagnosis. Many proposed algorithms don't perform satisfactorily on noisy and arrhythmia …
diagnosis. Many proposed algorithms don't perform satisfactorily on noisy and arrhythmia …
Robust peak detection for holter ECGs by self-organized operational neural networks
Although numerous R-peak detectors have been proposed in the literature, their robustness
and performance levels may significantly deteriorate in low-quality and noisy signals …
and performance levels may significantly deteriorate in low-quality and noisy signals …
Robust R-peak detection in low-quality holter ECGs using 1D convolutional neural network
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
A real-time PPG peak detection method for accurate determination of heart rate during sinus rhythm and cardiac arrhythmia
Objective: We have developed a peak detection algorithm for accurate determination of
heart rate, using photoplethysmographic (PPG) signals from a smartwatch, even in the …
heart rate, using photoplethysmographic (PPG) signals from a smartwatch, even in the …
QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge
C Han, W Que, S Wang, J Zhang, J Zhao… - Expert Systems with …, 2022 - Elsevier
Accurate locations of key feature points for QRS complexes and T waves in
electrocardiograms (ECGs) play a vital role in the analysis of cardiovascular diseases, such …
electrocardiograms (ECGs) play a vital role in the analysis of cardiovascular diseases, such …
Premature atrial and ventricular contraction detection using photoplethysmographic data from a smartwatch
We developed an algorithm to detect premature atrial contraction (PAC) and premature
ventricular contraction (PVC) using photoplethysmographic (PPG) data acquired from a …
ventricular contraction (PVC) using photoplethysmographic (PPG) data acquired from a …
An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network
Arrhythmia is a kind of cardiac conduction disorder those result in irregular heartbeats. The
electrocardiograph (ECG) signal may identify conduction system abnormalities. However, its …
electrocardiograph (ECG) signal may identify conduction system abnormalities. However, its …
Atrial fibrillation detection during sepsis: study on MIMIC III ICU data
Sepsis is defined by life-threatening organ dysfunction during infection and is one of the
leading causes of critical illness. During sepsis, there is high risk that new-onset of atrial …
leading causes of critical illness. During sepsis, there is high risk that new-onset of atrial …