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Literature DB >> 28916671

Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke.

Abstract

Entities: Disease

Keywords: atrial fibrillation; cardioembolic stroke; cryptogenic stroke; embolic stroke of unknown source; screening; stroke

Mesh：

Year: 2017 PMID： 28916671 DOI： 10.1161/STROKEAHA.117.017083

Source DB: PubMed Journal: Stroke ISSN： 0039-2499 Impact factor: 7.914

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Cited

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13 in total

1. Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment: Study of a Population Cohort ≥65 Years of Age.

Authors: Jose-Luis Clua-Espuny; Eulalia Muria-Subirats; Juan Ballesta-Ors; Blanca Lorman-Carbo; Josep Clua-Queralt; Elena Palà; Iñigo Lechuga-Duran; Delicia Gentille-Lorente; Alejandro Bustamante; Miguel Ángel Muñoz; Joan Montaner
Journal: Vasc Health Risk Manag Date: 2020-10-28

2. Practice advisory update summary: Patent foramen ovale and secondary stroke prevention: Report of the Guideline Subcommittee of the American Academy of Neurology.

Authors: Steven R Messé; Gary S Gronseth; David M Kent; Jorge R Kizer; Shunichi Homma; Lee Rosterman; John D Carroll; Koto Ishida; Navdeep Sangha; Scott E Kasner
Journal: Neurology Date: 2020-04-29 Impact factor: 11.800

3. Atrial Cardiopathy and Sympatho-Vagal Imbalance in Cryptogenic Stroke: Pathogenic Mechanisms and Effects on Electrocardiographic Markers.

Authors: Maurizio Acampa; Pietro E Lazzerini; Giuseppe Martini
Journal: Front Neurol Date: 2018-06-19 Impact factor: 4.003

4. The application of Lempel-Ziv and Titchener complexity analysis for equine telemetric electrocardiographic recordings.

Authors: Vadim Alexeenko; James A Fraser; Alexey Dolgoborodov; Mark Bowen; Christopher L-H Huang; Celia M Marr; Kamalan Jeevaratnam
Journal: Sci Rep Date: 2019-02-22 Impact factor: 4.379

5. Electrocardiographic RR Interval Dynamic Analysis to Identify Acute Stroke Patients at High Risk for Atrial Fibrillation Episodes During Stroke Unit Admission.

Authors: Alessandro Adami; Carolina Gentile; Thomas Hepp; Giulio Molon; Gian Luigi Gigli; Mariarosaria Valente; Vincent Thijs
Journal: Transl Stroke Res Date: 2018-07-03 Impact factor: 6.829

10. ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.

Authors: Ying H Huang; Vadim Alexeenko; Gary Tse; Christopher L-H Huang; Celia M Marr; Kamalan Jeevaratnam
Journal: Function (Oxf) Date: 2020-11-18

Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke.

1. Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment: Study of a Population Cohort ≥65 Years of Age.

2. Practice advisory update summary: Patent foramen ovale and secondary stroke prevention: Report of the Guideline Subcommittee of the American Academy of Neurology.

3. Atrial Cardiopathy and Sympatho-Vagal Imbalance in Cryptogenic Stroke: Pathogenic Mechanisms and Effects on Electrocardiographic Markers.

4. The application of Lempel-Ziv and Titchener complexity analysis for equine telemetric electrocardiographic recordings.

5. Electrocardiographic RR Interval Dynamic Analysis to Identify Acute Stroke Patients at High Risk for Atrial Fibrillation Episodes During Stroke Unit Admission.

6. Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke.

Review 7. Management of atrial fibrillation-flutter: uptodate guideline paper on the current evidence.

8. Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification.

9. Patient-reported feasibility of chest and thumb ECG after cryptogenic stroke in Sweden: an observational study.

10. ECG Restitution Analysis and Machine Learning to Detect Paroxysmal Atrial Fibrillation: Insight from the Equine Athlete as a Model for Human Athletes.