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 …
An accurate QRS complex and P wave detection in ECG signals using complete ensemble empirical mode decomposition with adaptive noise approach
We developed a novel method for QRS complex and P wave detection in the
electrocardiogram (ECG) signal. The approach reconstructs two different signals for the …
electrocardiogram (ECG) signal. The approach reconstructs two different signals for the …
Atrial fibrillation detection from wrist photoplethysmography signals using smartwatches
Detection of atrial fibrillation (AF) from a wrist watch photoplethysmogram (PPG) signal is
important because the wrist watch form factor enables long term continuous monitoring of …
important because the wrist watch form factor enables long term continuous monitoring of …
Novel density poincaré plot based machine learning method to detect atrial fibrillation from premature atrial/ventricular contractions
Objective: Detection of Atrial fibrillation (AF) from premature atrial contraction (PAC) and
premature ventricular contraction (PVC) is difficult as frequent occurrences of these ectopic …
premature ventricular contraction (PVC) is difficult as frequent occurrences of these ectopic …
Wearable armband device for daily life electrocardiogram monitoring
A wearable armband electrocardiogram (ECG) monitor has been used for daily life
monitoring. The armband records three ECG channels, one electromyogram (EMG) channel …
monitoring. The armband records three ECG channels, one electromyogram (EMG) channel …
An efficient real-time ECG QRS-complex identification by A-CLT and digital fractional order differentiation
VK Sinha, SK Kar - Biomedical Signal Processing and Control, 2024 - Elsevier
The identification of QRS complexes in real-time is crucial for both clinical and non-clinical
applications, especially when constrained by low computational complexity. However, the …
applications, especially when constrained by low computational complexity. However, the …
Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram
The early diagnosis of neurodevelopmental conditions such as autism spectrum disorder
(ASD), is an unmet need. One difficulty is the identification of a biological signal that relates …
(ASD), is an unmet need. One difficulty is the identification of a biological signal that relates …
A robust ECG denoising technique using variable frequency complex demodulation
Background and objective Electrocardiogram (ECG) is widely used for the detection and
diagnosis of cardiac arrhythmias such as atrial fibrillation. Most of the computer-based …
diagnosis of cardiac arrhythmias such as atrial fibrillation. Most of the computer-based …
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 …
A multimodal data fusion technique for heartbeat detection in wearable IoT sensors
The accurate detection of heartbeats is of paramount importance in the current healthcare
scenario as they act as an indicator for various underlying cardiac conditions and provides …
scenario as they act as an indicator for various underlying cardiac conditions and provides …