scholarly journals Screening for Atrial Fibrillation Using a Single Lead ECG Monitoring Device

2021 ◽  
Vol 57 (3) ◽  
pp. 191
Author(s):  
Jum Suk Ko ◽  
Hyung Ki Jeong
Keyword(s):  
Atrial Fibrillation ◽  
Monitoring Device ◽  
Ecg Monitoring

scholarly journals Non-invasive mid-term ECG monitoring for the detection of atrial fibrillation in an outpatient population

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Cai ◽  
K.K Yeo ◽  
P Wong ◽  
C.K Ching
Keyword(s):  
Atrial Fibrillation ◽  
Public Institution ◽  
First Episode ◽  
Prior History ◽  
Funding Source ◽  
Monitoring Device ◽  
Ecg Monitoring ◽  
Non Invasive ◽  
Increased Risk ◽  
The Mean

Abstract Background Atrial fibrillation (AF) is a common arrhythmia with significant morbidity due to an increased risk of ischemic stroke. Outpatient electrocardiogram (ECG) monitoring is an integral part of the diagnosis of AF. Conventional 24 hour Holter monitoring can be cumbersome and often fails to diagnose patients with paroxysmal AF. Spyder ECG is a non-invasive ECG monitoring device that allows wireless transmission of ECG information for analysis. It is small and comfortable, allowing for easy application for the screening and detection of AF over a mid-term duration. Purpose This study aims to evaluate the incidence of AF in patients with no prior AF and CHADsVASC score of at least 1 with the use of the Spyder ECG mid-term ECG monitoring device. Methods Patients aged 21 to 85 years old with no prior history of AF and CHADsVASC score of at least 1 were recruited from outpatient clinics of 3 large tertiary hospitals in Singapore from December 2016 to April 2019. Patients wore the Spyder ECG device for up to 2 weeks, during which continuous ECG information was uploaded onto a central cloud database and analysed. Results There were 363 patients recruited. The mean age was 61±10.0 years and 65.1% were male. There were 80.3% Chinese, 11.6% Malay, 7.5% Indian and 20.6% of other races. 68.3% of the patients were non-smokers and 74.0% of them were non-alcohol drinkers. The mean BMI of 25.5±4.7 kg/m2. The patient population had significant co-morbidities. 76.3% of the patients had hypertension, 69.4% of them had hyperlipidemia and 40.5% of them had diabetes mellitus. 10.0% of them had congestive cardiac failure and 56.7% had ischaemic heart disease. 11.3% of patients had a previous stroke and 20.4% had a prior myocardial infarction. 7.8% of the patients had asthma, 5.8% of them had thyroid disease and 9.9% of them had chronic kidney disease. They were monitored for a mean of 5.4±2.9 days each. There were 15 (4.1%) patients in whom AF was detected. The patients with AF wore the device for a mean of 5.7±2.0 SD days. The mean burden of AF was 9.0% of monitored time. 46.7% of the patients with AF had detection of AF on the first day, 26.7% on the second day, 13.3% on the third day and 13.3% on the seventh day. The mean duration of the first episode of AF was 251±325 minutes. 7 out of 15 (46.7%) of patients had first episodes of AF lasting less than 10 minutes. Conclusion Continuous mid-term ECG monitoring was able to detect AF in 15 (4.1%) of a population of 363 patients with no prior AF and CHADsVASC score of at least one, monitored for a mean of 5.4 days. Most episodes (53.3%) of AF were detected after the first day of ECG monitoring. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Duke-NUS Medical School Singapore

scholarly journals Applicability of a Novel Wearable Wireless Electrocardiogram Monitoring Device (Spyder) for Arrhythmia Detection in Patients with Suspected Cardiac Arrhythmias

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Do Van Chien ◽  
Nguyen Thanh Binh ◽  
Nguyen Dung ◽  
Pham Truong Son
Keyword(s):  
Atrial Fibrillation ◽  
Supraventricular Tachycardia ◽  
Cardiac Arrhythmias ◽  
Cryptogenic Stroke ◽  
Premature Ventricular Contraction ◽  
Monitoring Device ◽  
Ecg Monitoring ◽  
Monitoring Methods ◽  
New Device ◽  
Recurrent Atrial Fibrillation

Introduction. In clinical practice, many cardiovascular symptoms can be caused by arrhythmias that are not detected by electrocardiography (ECG) or 24–48 h Holter ECG monitoring. Aims. To describe the efficacy and applicability of a new device (Spyder) in detecting cardiac arrhythmias with midterm ECG monitoring. Methods. A descriptive, prospective study was performed on 26 consecutive patients who underwent midterm ECG monitoring with the novel ECG patch device (Spyder). The study was conducted over a 6-month period from August 2020 to February 2021. Results. Twenty-six patients (mean age, 57.8 ± 12.5 years; men, 77%) wearing a Spyder wireless ECG-monitoring device were recruited. The mean wearing time was 84 hours. The main indications for using the device were detection of recurrent atrial fibrillation after radiofrequency ablation (30.7%) and screening for atrial fibrillation after cryptogenic stroke (23.1%). All ECG monitor recordings obtained during the study period were of good quality. The device detected 12 episodes of atrial fibrillation in eight patients, one episode of ventricular tachycardia, one supraventricular tachycardia event, one case of paroxysmal third-degree atrioventricular block, and five cases of frequent premature ventricular contraction. The time to detection of the first episodes of atrial fibrillation and ventricular and supraventricular tachycardia was 28.8 and 47 hours, respectively. Conclusions. The new wearable wireless ECG-monitoring device (Spyder) is a feasible and effective method for the detection of cardiac arrhythmias.

scholarly journals Potential Biological Markers of Atrial Fibrillation: A Chance to Prevent Cryptogenic Stroke

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
István Szegedi ◽  
László Szapáry ◽  
Péter Csécsei ◽  
Zoltán Csanádi ◽  
László Csiba
Keyword(s):  
Atrial Fibrillation ◽  
Biological Markers ◽  
Cryptogenic Stroke ◽  
Biological Marker ◽  
Ecg Monitoring ◽  
Inflammation Markers ◽  
Good Patient ◽  
Markers Of Inflammation ◽  
Good Patient Compliance ◽  
And Function

Stroke affects millions of people all over the world, causing death and disability. The most frequent type of this disease is ischemic stroke, which can be caused by different factors. In approximately 25 percent of cases, no obvious cause can be found. Recent observations have shown that paroxysmal atrial fibrillation could be responsible for a significant number of cryptogenic stroke events. Short- or long-lasting ECG monitoring could help with the diagnosis of transient arrhythmias. Unfortunately, these techniques either are expensive or require good patient compliance. An alternative option is the identification of biological markers that are specific for atrial fibrillation and can be used to predict arrhythmia. In this review, we give a summary of the recent advances in the research of arrhythmia markers. Based on their structure and function, we differentiated four groups of biomarkers: markers of inflammation, markers of fibrosis, markers with hormonal activity, and other markers. In spite of intensive researches, the optimal biological marker is still not available, but there are some promising markers, like NT-proBNP/BNP.

Ambulatory ECG Monitoring in Atrial Fibrillation Management

2013 ◽  
Vol 56 (2) ◽  
pp. 143-152 ◽  
Author(s):  
Spencer Z. Rosero ◽  
Valentina Kutyifa ◽  
Brian Olshansky ◽  
Wojciech Zareba
Keyword(s):  
Atrial Fibrillation ◽  
Ecg Monitoring ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring

scholarly journals Usefulness of Ambulatory 7-Day ECG Monitoring for the Detection of Atrial Fibrillation and Flutter After Acute Stroke and Transient Ischemic Attack

Stroke ◽  
2004 ◽  
Vol 35 (7) ◽  
pp. 1647-1651 ◽  
Author(s):  
Denis Jabaudon ◽  
Juan Sztajzel ◽  
Katia Sievert ◽  
Theodor Landis ◽  
Roman Sztajzel
Keyword(s):  
Atrial Fibrillation ◽  
Acute Stroke ◽  
Transient Ischemic Attack ◽  
Ecg Monitoring ◽  
Ischemic Attack ◽  
Atrial Fibrillation And Flutter

scholarly journals Atrial Fibrillation Diagnosis Timing, Ambulatory ECG Monitoring Utilization, and Risk of Recurrent Stroke

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Gregory Y. H. Lip ◽  
Tina D. Hunter ◽  
Maria E. Quiroz ◽  
Paul D. Ziegler ◽  
Mintu P. Turakhia
Keyword(s):  
Atrial Fibrillation ◽  
Recurrent Stroke ◽  
Ecg Monitoring ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring

scholarly journals CHA2DS2-VASc Score: A Predictor of Thromboembolic Events and Mortality in Patients With an Implantable Monitoring Device Without Atrial Fibrillation

2017 ◽  
Vol 92 (3) ◽  
pp. 360-369 ◽  
Author(s):  
Christine Parsons ◽  
Salma I. Patel ◽  
Stephen Cha ◽  
Win-Kuang Shen ◽  
Santosh Desai ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Monitoring Device ◽  
Thromboembolic Events

scholarly journals 0059: Incidence and predictors of new-onset atrial fibrillation in septic shock patients in a medical ICU: data from 7-day Holter ECG monitoring

2015 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Charles Guenancia ◽  
Christine Binquet ◽  
Gabriel Laurent ◽  
Sandrine Vinault ◽  
Rémi Bruyère ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Septic Shock ◽  
Ecg Monitoring ◽  
Holter Ecg ◽  
Onset Atrial Fibrillation ◽  
New Onset
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