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Multi-Channel Esophageal ECG Signal Classification

NCT02541175 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2017-01-13

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Bern University of Applied Sciences

    collaborator OTHER

  • Insel Gruppe AG, University Hospital Bern

    lead OTHER

Principal Investigators

  • Hildegard Tanner, Prof. Dr. med. · Dept. of Cardiology, University Hospital Bern

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2015-10-31
Primary Completion
2016-12-31
Completion
2016-12-31

Countries

  • Switzerland

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02541175 on ClinicalTrials.gov