Automatic ECG quality assessment techniques: A systematic review
Cardiovascular diseases are the leading cause of death, globally. Stroke and heart attacks
account for more than 80% of cardiovascular disease-related deaths. To prevent patient …
account for more than 80% of cardiovascular disease-related deaths. To prevent patient …
Quality Assessment for the photoplethysmogram (PPG)
C Orphanidou, C Orphanidou - … in Physiological Monitoring: State of the Art …, 2018 - Springer
The Photoplethysmogram (PPG) is fast becoming the most popular monitoring tool because
of its ease of measurement, via the pulse oximeter, and because of its ability to provide …
of its ease of measurement, via the pulse oximeter, and because of its ability to provide …
Optimal signal quality index for photoplethysmogram signals
M Elgendi - Bioengineering, 2016 - mdpi.com
A photoplethysmogram (PPG) is a noninvasive circulatory signal related to the pulsatile
volume of blood in tissue and is typically collected by pulse oximeters. PPG signals collected …
volume of blood in tissue and is typically collected by pulse oximeters. PPG signals collected …
Signal quality assessment and lightweight QRS detection for wearable ECG SmartVest system
C Liu, X Zhang, L Zhao, F Liu, X Chen… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Recently, development of wearable and Internet of Things (IoT) technologies enables the
real-time and continuous individual electrocardiogram (ECG) monitoring. In this paper, we …
real-time and continuous individual electrocardiogram (ECG) monitoring. In this paper, we …
A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
A novel attentional deep neural network-based assessment method for ECG quality
ECG quality assessment is of great significance to reduce false alarms in automatic
arrhythmia and other cardiovascular diseases diagnoses and reduce the workload of …
arrhythmia and other cardiovascular diseases diagnoses and reduce the workload of …
ECG signal quality during arrhythmia and its application to false alarm reduction
An automated algorithm to assess electrocardiogram (ECG) quality for both normal and
abnormal rhythms is presented for false arrhythmia alarm suppression of intensive care unit …
abnormal rhythms is presented for false arrhythmia alarm suppression of intensive care unit …
A machine learning approach to multi-level ECG signal quality classification
Current electrocardiogram (ECG) signal quality assessment studies have aimed to provide a
two-level classification: clean or noisy. However, clinical usage demands more specific …
two-level classification: clean or noisy. However, clinical usage demands more specific …
Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems
Cardiovascular diseases are the number one cause of death worldwide. Currently, portable
battery-operated systems such as mobile phones with wireless ECG sensors have the …
battery-operated systems such as mobile phones with wireless ECG sensors have the …
Fast QRS detection with an optimized knowledge-based method: Evaluation on 11 standard ECG databases
M Elgendi - PloS one, 2013 - journals.plos.org
The current state-of-the-art in automatic QRS detection methods show high robustness and
almost negligible error rates. In return, the methods are usually based on machine-learning …
almost negligible error rates. In return, the methods are usually based on machine-learning …