AFSense-ECG: Atrial Fibrillation Condition Sensing From Single Lead Electrocardiogram (ECG) Signals-Reference-Cited by-同舟云学术

AFSense-ECG: Atrial Fibrillation Condition Sensing From Single Lead Electrocardiogram (ECG) Signals

Published:2022-06-15 Issue:12 Volume:22 Page:12269-12277
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ukil Arijit¹^ORCID,Marin Leandro²^ORCID,Mukhopadhyay Subhas Chandra³^ORCID,Jara Antonio J.⁴

Affiliation:

1. TCS Research, Tata Consultancy Services, Kolkata, India

2. Department of Computer Engineering and Technology, Faculty of Computer Science, University of Murcia, Murcia, Spain

3. Mechanical/Electronics Engineering Department, Macquarie University, North Ryde, NSW, Australia

4. HOP Ubiquitous S. L., Ceutí, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9795939/09743469.pdf?arnumber=9743469

Reference43 articles.

1. A Real-Time QRS Detection Algorithm

2. Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier

3. Densely connected convolutional networks and signal quality analysis to detect atrial fibrillation using short single-lead ECG recordings;rubin;Proc Comput Cardiol,2017

4. Detection and classification of ECG noises using decomposition on mixed codebook for quality analysis

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