A review of signal processing techniques for electrocardiogram signal quality assessment
U Satija, B Ramkumar… - IEEE reviews in …, 2018 - ieeexplore.ieee.org
Electrocardiogram (ECG) signal quality assessment (SQA) plays a vital role in significantly
improving the diagnostic accuracy and reliability of unsupervised ECG analysis systems. In …
improving the diagnostic accuracy and reliability of unsupervised ECG analysis systems. In …
Machine learning and decision support in critical care
Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …
derived from large, sometimes highly heterogeneous, data sources that are often changing …
Real-time signal quality-aware ECG telemetry system for IoT-based health care monitoring
U Satija, B Ramkumar… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
In this paper, we propose a novel signal quality-aware Internet of Things (IoT)-enabled
electrocardiogram (ECG) telemetry system for continuous cardiac health monitoring …
electrocardiogram (ECG) telemetry system for continuous cardiac health monitoring …
Automated ECG noise detection and classification system for unsupervised healthcare monitoring
U Satija, B Ramkumar… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Objective: Automatic detection and classification of noises can play a vital role in the
development of robust unsupervised electrocardiogram (ECG) analysis systems. This paper …
development of robust unsupervised electrocardiogram (ECG) analysis systems. This paper …
A new automated signal quality-aware ECG beat classification method for unsupervised ECG diagnosis environments
U Satija, B Ramkumar… - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
In this paper, we propose a new automated quality-aware electrocardiogram (ECG) beat
classification method for effective diagnosis of ECG arrhythmias under unsupervised …
classification method for effective diagnosis of ECG arrhythmias under unsupervised …
Real-time quality assessment of long-term ECG signals recorded by wearables in free-living conditions
Objective: Nowadays, methods for ECG quality assessment are mostly designed to binary
distinguish between good/bad quality of the whole signal. Such classification is not suitable …
distinguish between good/bad quality of the whole signal. Such classification is not suitable …
An open-source feature extraction tool for the analysis of peripheral physiological data
M Nabian, Y Yin, J Wormwood… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Electrocardiogram, electrodermal activity, electromyogram, continuous blood pressure, and
impedance cardiography are among the most commonly used peripheral physiological …
impedance cardiography are among the most commonly used peripheral physiological …
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 …
A deformable CNN architecture for predicting clinical acceptability of ECG signal
The degraded quality of the electrocardiogram (ECG) signals is the main source of false
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
Early seizure detection based on cardiac autonomic regulation dynamics
J Pavei, RG Heinzen, B Novakova, R Walz… - Frontiers in …, 2017 - frontiersin.org
Epilepsy is a neurological disorder that causes changes in the autonomic nervous system.
Heart rate variability (HRV) reflects the regulation of cardiac activity and autonomic nervous …
Heart rate variability (HRV) reflects the regulation of cardiac activity and autonomic nervous …