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Review of noise removal techniques in ECG signals
An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …
Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics
This paper analyses the state of the art on accuracy and metrological characteristics of wrist-
worn and chest-strap wearable devices, in comparison with reference instruments. Basing …
worn and chest-strap wearable devices, in comparison with reference instruments. Basing …
Wireless ECG and cardiac monitoring systems: State of the art, available commercial devices and useful electronic components
Wireless ElectroCardioGram (ECG) systems are employed in manifold application fields:
tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable …
tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable …
Sparsity-based modified wavelet de-noising autoencoder for ECG signals
Electrocardiogram (ECG) is susceptible to different kinds of noises whose removal is
necessary for accurate clinical diagnosis. This paper proposes a hybrid technique that …
necessary for accurate clinical diagnosis. This paper proposes a hybrid technique that …
Denoising and features extraction of ECG signals in state space using unbiased FIR smoothing
The electrocardiogram (ECG) signals bear fundamental information for making decisions
about different kinds of heart diseases. Therefore, many efforts were made during decades …
about different kinds of heart diseases. Therefore, many efforts were made during decades …
Quality assessment of very long-term ECG recordings using a convolutional neural network
The electrocardiogram (ECG) is a physiological signal highly sensitive to disturbances
during its acquisition. To palliate this issue, many works have described preprocessing …
during its acquisition. To palliate this issue, many works have described preprocessing …
Combination of frequency-and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter …
Catheter ablation (CA) remains the cornerstone alternative to cardioversion for sinus rhythm
(SR) restoration in patients with atrial fibrillation (AF). Unfortunately, despite the last …
(SR) restoration in patients with atrial fibrillation (AF). Unfortunately, despite the last …
[HTML][HTML] Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots
Current wearable electrocardiogram (ECG) recording systems have great potential to
revolutionize early diagnosis of paroxysmal atrial fibrillation (AF). They are able to …
revolutionize early diagnosis of paroxysmal atrial fibrillation (AF). They are able to …
Detection of eeg-based eye-blinks using a thresholding algorithm
In the electroencephalography (EEG) study, eye blinks are a commonly known type of ocular
artifact that appears most frequently in any EEG measurement. The artifact can be seen as …
artifact that appears most frequently in any EEG measurement. The artifact can be seen as …
[HTML][HTML] Preoperative prediction of catheter ablation outcome in persistent atrial fibrillation patients through spectral organization analysis of the surface fibrillatory …
Catheter ablation (CA) is a commonly used treatment for persistent atrial fibrillation (AF).
Since its medium/long-term success rate remains limited, preoperative prediction of its …
Since its medium/long-term success rate remains limited, preoperative prediction of its …