[HTML][HTML] Deep learning for comprehensive ECG annotation
BA Teplitzky, M McRoberts, H Ghanbari - Heart rhythm, 2020 - Elsevier
Background Increasing utilization of long-term outpatient ambulatory electrocardiographic
(ECG) monitoring continues to drive the need for improved ECG interpretation algorithms …
(ECG) monitoring continues to drive the need for improved ECG interpretation algorithms …
Development of robust, fast and efficient QRS complex detector: a methodological review
S Raj, KC Ray, O Shankar - … physical & engineering sciences in medicine, 2018 - Springer
The basis and reliability for timely diagnosis of cardiovascular diseases depend on the
robust and accurate detection of QRS complexes along with the fiducial points in the …
robust and accurate detection of QRS complexes along with the fiducial points in the …
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 …
A level-crossing based QRS-detection algorithm for wearable ECG sensors
N Ravanshad, H Rezaee-Dehsorkh… - IEEE journal of …, 2013 - ieeexplore.ieee.org
In this paper, an asynchronous analog-to-information conversion system is introduced for
measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a …
measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a …
[BUCH][B] PPG signal analysis: An introduction using MATLAB®
M Elgendi - 2020 - taylorfrancis.com
This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using
MATLAB®. This technology is critical in the evaluation of medical and diagnostic data …
MATLAB®. This technology is critical in the evaluation of medical and diagnostic data …
An Adaptive and Time‐Efficient ECG R‐Peak Detection Algorithm
Q Qin, J Li, Y Yue, C Liu - Journal of healthcare engineering, 2017 - Wiley Online Library
R‐peak detection is crucial in electrocardiogram (ECG) signal analysis. This study proposed
an adaptive and time‐efficient R‐peak detection algorithm for ECG processing. First, wavelet …
an adaptive and time‐efficient R‐peak detection algorithm for ECG processing. First, wavelet …
A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm
Background and objectives Detection of the R-peak pertaining to the QRS complex of an
ECG signal plays an important role for the diagnosis of a patient's heart condition. To …
ECG signal plays an important role for the diagnosis of a patient's heart condition. To …
Automatic detection of the R peaks in single-lead ECG signal
The accurate delineation of R peaks in an ElectroCardioGram (ECG) is required for analysis
and diagnosis of various cardiac abnormalities. Detection of the R peak is a challenging task …
and diagnosis of various cardiac abnormalities. Detection of the R peak is a challenging task …
End-to-end premature ventricular contraction detection using deep neural networks
In Holter monitoring, the precise detection of standard heartbeats and ventricular premature
contractions (PVCs) is paramount for accurate cardiac rhythm assessment. This study …
contractions (PVCs) is paramount for accurate cardiac rhythm assessment. This study …
[PDF][PDF] Verification and comparison of MIT-BIH arrhythmia database based on number of beats
AJ Khalaf, SJ Mohammed - International Journal of …, 2021 - pdfs.semanticscholar.org
The ECG signal processing methods are tested and evaluated based on many databases.
The most ECG database used for many researchers is the MITBIH arrhythmia database. The …
The most ECG database used for many researchers is the MITBIH arrhythmia database. The …