Multi-Channel Esophageal ECG Signal Classification

Atrial Fibrillation Clinical Trial

— MC-EECG  

Official title:

Paroxysmal Atrial Fibrillation Detection and Heart Beat Classification in Multi-Channel Esophageal Long-Term ECG

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02541175
• Other study ID #: 149/15
• Status: Completed
• Phase: N/A
• First received: August 27, 2015
• Last updated: January 12, 2017
• Start date: October 2015
• Est. completion date: December 2016

Study information

• Verified date: January 2017
• Source: University Hospital Inselspital, Berne
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This study is designed to prove new methods to enable the automated analysis of esophageal electrocardiography (eECG) signals in long-term measurements as well as the detection of atrial fibrillation. The investigators hypothesis is that eECG signals allow the reliable atrial and ventricular ECG signal distinction and the detection of atrial fibrillation. Therefore 14 patients with arrhythmias and 6 cardiac healthy subjects are asked to take part in this study. On each subject an esophageal ECG and a simultaneous standard surface ECG will be taken for about half an hour. Patient undergoing a cardiac catheter ablation during their current hospitalization will be further asked to allow access to the invasively obtained measurements (i.e. atrial potential map) to further improve the understanding of the eECG signals.

Description:

Background

The fast and correct diagnosis of heart rhythm disorders is very important to reduce morbidity and mortality in cardiovascular patients. Atrial fibrillation is of special interest, because it is an important cause of devastating brain strokes. A significant number of strokes have a cardioembolic genesis due to paroxysmal atrial fibrillation which was not diagnosed early enough. Therefore, it is very important to detect atrial fibrillation as soon as possible. With oral anticoagulation an effective therapeutic option in available to prevent cardioembolisms.

In the clinical routine, mostly 24-hour or 7-day ECGs are made to look for cardiac arrhythmias. The use of such devices is well established. Nevertheless, they have some side effects/limitations. Skin electrodes used for derivation of the ECG often cause skin irritation, sometimes leading to premature termination of the recording. Because of dryout of the contact gel (causes artifacts), small p-waves and especially also motion artifacts, triggered recording or semi-automatic analysis of the recording is problematic, but for longer recording times such a semi-automatic analysis would be helpful. As an alternative esophageal electrocardiography can be performed. Signal quality of the ECG recording (especially of the left atrium) is better than in the standard surface ECG because of the vicinity of the esophagus and the left atrium. The esophagus tolerates well foreign bodies as the investigators know from long-term nasogastric intubation. Therefore use of the esophageal technique for long-term rhythm monitoring is an interesting and promising alternative to conventional surface Holter ECGs.

Earlier studies have already shown the improved p-wave in eECG signals, but the automatic or semi-automatic wave analysis algorithms were not satisfactory. By increasing the number of measuring channels on the esophageal catheter, new classes of algorithm can be applied in order to increase the detection reliability. Using multiple channels to increase the quality of the result is an intuitive and widely used method e.g. in 12 lead ECG or EECG, etc.

Objective

Primary Objective: Differentiation of electrical atrial and ventricular cardiac activity (A/V classification) Secondary Objective: Detection of atrial fibrillation sequences (AFib Detection)

Methods

20 subjects are included in this pilot study to verify enhanced multi-channel detection algorithm. In order to cover a wide variety of arrhythmias to test the algorithm with, the subjects are selected according to 4 categories: 1) 4 patients with intermitting or persisting atrial fibrillation. 2) 4 patients with atrial flutter 3) 6 patients with frequent atrial or ventricular extra-systoles. 4) 6 cardiac healthy subjects. In total around 50'000 heart beats are recorded. The surface ECG signal is used as the reference (manually analyzed). Sensitivity and specificity of the correctly detected atrial and ventricular activities compared to this manual reference including the 95% confidence intervals are calculated (A/V Classification). Additionally the sensitivity and specificity of the detected of atrial fibrillation sequences including the 95% confidence intervals are calculated (AFib Detection).

Recruitment information / eligibility

• Status: Completed
• Enrollment: 20
• Est. completion date: December 2016
• Est. primary completion date: December 2016
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Age >/= 18 years

• Written informed consent

• ambulatory/hospitalized due to peripheral percutaneous intervention

• ambulatory/hospitalized due to shunt stenosis or occlusion

• ambulatory/hospitalized due to electrophysiological intervention

• ambulatory/hospitalized due to pacemaker implantation

• ambulatory/hospitalized due to decompensated heart failure

• ambulatory/hospitalized due to planed cardioangiography

• ambulatory/hospitalized due to performed cardioangiography after Non-ST-elevation myocardial infarction (NSTEMI) or ST-elevation myocardial infarction (STEMI)

• cardiac healthy adults

Exclusion Criteria

• History of ablation of atrial fibrillation

• History of heart transplantation

• Instable angina pectoris/acute myocardial infarction before revascularisation

• Cardiorespiratory unstable patients

• History of valve replacement operation less than 4 weeks ago

• Obstructive cardiomyopathy with severe dynamic Left Ventricular Outflow Tract (LVOT) obstruction

• Known severe bleeding diathesis

• Known malformations or disease in the upper airways, conflicting with the catheter insertion

• Known malformations or disease in the esophagus, conflicting with the catheter insertion

• Uncontrolled arterial hypertonia (syst. blood pressure > 200mmHg)

• Pregnancy

Related Conditions & MeSH terms

• Arrhythmias, Cardiac
• Atrial Fibrillation
• Atrial Function
• Atrial Premature Complexes

Locations

Country	Name	City	State
Switzerland	Dept. of Cardiology, University Hospital Bern	Bern

Sponsors (2)

Lead Sponsor	Collaborator
University Hospital Inselspital, Berne	Bern University of Applied Sciences

Country where clinical trial is conducted

Switzerland, 

References & Publications (4)

Haeberlin A, Niederhauser T, Marisa T, Goette J, Jacoment M, Mattle D, Roten L, Fuhrer J, Tanner H, Vogel R. The optimal lead insertion depth for esophageal ECG recordings with respect to atrial signal quality. J Electrocardiol. 2013 Mar-Apr;46(2):158-65. doi: 10.1016/j.jelectrocard.2012.12.004. — View Citation

Haeberlin A, Niederhauser T, Tanner H, Vogel R. Atrial waveform analysis using esophageal long-term electrocardiography reveals atrial ectopic activity. Clin Res Cardiol. 2012 Nov;101(11):941-2. doi: 10.1007/s00392-012-0477-6. — View Citation

Haeberlin A, Roten L, Schilling M, Scarcia F, Niederhauser T, Vogel R, Fuhrer J, Tanner H. Software-based detection of atrial fibrillation in long-term ECGs. Heart Rhythm. 2014 Jun;11(6):933-8. doi: 10.1016/j.hrthm.2014.03.014. — View Citation

Wallmann D, Tüller D, Wustmann K, Meier P, Isenegger J, Arnold M, Mattle HP, Delacrétaz E. Frequent atrial premature beats predict paroxysmal atrial fibrillation in stroke patients: an opportunity for a new diagnostic strategy. Stroke. 2007 Aug;38(8):2292-4. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Number of correct classified A/V beats in automated eECG analysis compared to manually analyzed surface ECG		during analysis of ECG (approx. 30 minutes records)
Secondary	Number of correctly detected atrial fibrillation sequences in automated eECG analysis compared to manually analyzed surface ECG		during analysis of ECG (approx. 30 minutes records)