The Clinical Value of the 24-hour Ambulatory ECG Monitoring in Patients with Chronic Atrial Fibrillation

1989 ◽  
Vol 6 (1) ◽  
pp. 99
Author(s):  
Chang Heon Yang ◽  
Young Jo Kim ◽  
Bong Sup Shim ◽  
Hyun Woo Lee
Keyword(s):  
Atrial Fibrillation ◽  
Chronic Atrial Fibrillation ◽  
Ecg Monitoring ◽  
Clinical Value ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring

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 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

Frequent premature atrial complexes and risk of concurrent atrial fibrillation

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L.S.B Johnson ◽  
N Napiorkowski ◽  
M Dziubinski ◽  
D Conen ◽  
J.S Healey ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
The United States ◽  
Funding Source ◽  
Ecg Monitoring ◽  
P Waves ◽  
Diagnostic Reliability ◽  
Monitoring Period ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring ◽  
Long Term Follow Up

Abstract Background Premature atrial complexes (PACs) predict incident atrial fibrillation (AF) in long-term follow-up studies. It is unclear whether frequent PACs on ambulatory ECG recordings indicate a higher likelihood of concurrent, undiagnosed AF. Furthermore, the reproducibility of a 24 h PAC count is unclear. Objectives To determine if frequent PACs on 24 h ambulatory ECG monitoring predicts concurrent AF during subsequent, prolonged ECG monitoring and to assess the diagnostic reliability of PAC counts on a 24 hour ECG recording. Methods AF was defined as ≥30 seconds of irregular rhythm without P waves, which was detected by a proprietary algorithm and manually verified. The proportion of AF occurrence during the remainder of the monitoring period was calculated for pre-specified levels of PACs during the first 24 h, and a function describing the association was fitted. The diagnostic reproducibility of a 24 h PAC count was assessed by calculating the likelihood of a PAC count ≥1000/day during the entire monitoring duration for prespecified PAC count levels during the first 24h. Results The study population comprised 20,973 patients (41% men, mean age 69.5 years) who had recorded an ambulatory ECG with a monitoring duration of 4–30 days in the United States during the year 2017 (median monitoring duration 16 days). AF was detected in 2,029 (9.7%) of patients and the median time to first occurrence of AF was 5 days. PAC frequency during the first 24 h was associated with AF during the monitoring period beyond the first 24 h, increasing steadily from 4.2% among those with 0–5 PACs, to a plateau around 17% among those with 250–1000 PACs per day and above. (Fig. 1A). The reproducibility of low PAC counts was good. Only 5.5% of patients with 0–5 PACs during the first 24 h of monitoring (31.8% of the population), had ≥1000 PACs on an alternate monitoring day. In contrast, among subjects with 100 PACs the probability of a day with ≥1000 PACs was close to 50% (Fig. 1B). Conclusion In patients undergoing ambulatory ECG monitoring, frequent PACs during the first 24 h indicate a higher likelihood of AF occurrence during subsequent days of monitoring. Less than 5 PACs during the first 24 h indicate a low probability of AF or frequent PACs on a subsequent day of ECG monitoring. Figure 1 Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): The Swedish Heart and Lung Foundation; The Swedish Heart and Lung Association

Abstract TP231: Echocardiographically Identified Left Atrial Enlargement is Associated With Non-valvular Paroxysmal Atrial Fibrillation (PAF) and is a Surrogate for PAF Associated Risk for Embolic Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Adeniyi O Molajo
Keyword(s):  
Atrial Fibrillation ◽  
Sinus Rhythm ◽  
Paroxysmal Atrial Fibrillation ◽  
Left Atrial ◽  
Stroke Risk ◽  
Left Atrial Volume ◽  
Volume Index ◽  
Ecg Monitoring ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring

Introduction: Paroxysmal atrial fibrillation (PAF) and persistent atrial fibrillation are risk factors for systemic embolism including stroke. Both are indication for anticoagulation. Many patients with stroke in sinus rhythm are shown on ambulatory ECG monitoring to have PAF. PAF is difficult to diagnose on ambulatory ECG monitoring. A persistent marker for PAF will be useful to identify need for anticoagulant to reduce stroke risk due to PAF. Echocardiographic variable with a high predictive value for PAF is desirable. Objective: The purpose of the study was to investigate the relationship between left atrial (LA) size and proneness to paroxysmal atrial fibrillation and assess its reliability as a surrogate for diagnosing non valvular PAF. Method: Echo Database for patients with measured LA volume index, in sinus rhythm without history of intervention for atrial fibrillation, pharmacological therapy, and cardioversion or ablation therapy over a seven year period was reviewed. Patients with enlarged LA Volume index (>28ml/M 2 ) were selected. Seven Day ambulatory ECG monitoring was performed in these patients, ResultEchocardiogram data of 245 patients were available for analysis. 41 had greater than mild mitral valve regurgitation and were excluded from further analysis. Age range was 37-93. 99 were male. 211 patients had LA volume index data available. In 8 patients in sinus rhythm on ambulatory ECG, LA volume index was mildly increased (28-34 ml/M 2) In 16 patients with PAF on ambulatory ECG, LA volume index was mildly increased (28-34 ml/M 2 ) In 100 patients with PAF on ambulatory ECG, LA volume index was moderately increased (35-40 ml/M 2 ) In 88 patients with PAF on ambulatory ECG, LA volume index was severely increased (>40 ml/M 2 ) Conclusion: In patients with moderately and severely enlarged LA volume index, there was a high prevalence of paroxysmal atrial fibrillation on ambulatory ECG monitoring. Left Atrial volume index could serve as an echocardiographic surrogate for PAF and identify indication for anticoagulation to reduce stroke risk. It Is More Easily Identifiable Surrogate For PAF Than Ambulatory ECG Monitoring In Stroke Risk Assessment.

Can Changes in S Wave Amplitude be Used to Detect Ischaemia during Ambulatory ECG Monitoring?

1986 ◽  
Vol 70 (s13) ◽  
pp. 1P-1P
Author(s):  
J.J. Glazier ◽  
S. Chierchia ◽  
A. Maseri
Keyword(s):  
Wave Amplitude ◽  
Ecg Monitoring ◽  
S Wave ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring

System for Continuous and Prolonged Ambulatory ECG Monitoring with Hosting and Visualization on the Cloud

2021 ◽  
Vol 10 (1) ◽  
pp. 57
Author(s):  
Daniel Cuevas-González ◽  
Juan Pablo García-Vázquez ◽  
Miguel Bravo-Zanoguera ◽  
Roberto López-Avitia ◽  
Marco A. Reyna ◽  
...  
Keyword(s):  
Health Care ◽  
Sampling Rate ◽  
Cloud Services ◽  
Ecg Signal ◽  
Ecg Monitoring ◽  
Ambulatory Ecg ◽  
Ambulatory Ecg Monitoring ◽  
Access Information ◽  
Electrocardiogram Ecg ◽  
Small File

In this paper, we propose investigating the ability to integrate a portable Electrocardiogram (ECG) device to commercial platforms to analyze and visualize information hosted in the cloud. Our ECG system based on the ADX8232 microchip was evaluated regarding its performance of recordings of a synthetic ECG signal for periods of 1, 2, 12, 24, and 36 h on six different cloud services to investigate whether it maintains reliable ECG records. Our results show that there are few cloud services capable of 24 h or longer ECG recordings. But some existing services are limited to small file sizes of less than 1,000,000 lines or 100 MB, or approximately 45 min of an ECG recording at a sampling rate of 360 Hz, making it difficult an extended time monitoring. Cloud platforms reveal some limitations of storage and visualization in order to provide support to health care specialists to access information related to a patient at any time.

Sign in / Sign up

Export Citation Format

Share Document