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What is QRS Complex

Chapter 39
Encyclopedia of Information Science and Technology, Third Edition
A name for the combination of three of the graphical deflections seen on a typical electrocardiogram (ECG).
Published in Chapter:
Demographic Characterization of Heart Rate Variability (HRV)
Ankur Ganguly (Siliguri Institute of Technology, India), D. N. Tibarewala (School of BioScience and Engineering, Jadavpur University, India), S. Dasgupta (Calcutta Institute of Engineering and Management, India), and Subhojit Sarker (Siliguri Institute of Technology, India)
Copyright: © 2015 |Pages: 12
DOI: 10.4018/978-1-4666-5888-2.ch039
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Chapter 114
Modification of Arruda's Accessory Pathway Localization Method to Improve the Performance of WPW Syndrome Interventions
A structure on the ECG signal that corresponds to the depolarization of the ventricles.
Published in Chapter: Modification of Arruda's Accessory Pathway Localization Method to Improve the Performance of WPW Syndrome Interventions; From: Encyclopedia of Healthcare Information Systems
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Chapter 172
Volumetric Analysis and Modeling of the Heart Using Active Appearance Model
A structure on the ECG signal that corresponds to the depolarization of the ventricles.
Published in Chapter: Volumetric Analysis and Modeling of the Heart Using Active Appearance Model; From: Encyclopedia of Healthcare Information Systems
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Chapter 60
Echocardiographic Image Sequence Compression Based On Spatial Active Appearance Model
A structure on the ECG signal that corresponds to the depolarization of the ventricles.
Published in Chapter: Echocardiographic Image Sequence Compression Based On Spatial Active Appearance Model; From: Encyclopedia of Healthcare Information Systems
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Chapter 8
Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals
This complex can be found in the electrocardiogram and it represents the ventricular depolarization. It is a combination of the Q wave, R wave and the S wave.
Published in Chapter: Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals; From: Advancing the Investigation and Treatment of Sleep Disorders Using AI
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