Collection of Holter surface ECGs for the development of new sensing and detection algorithms
The aim of the study is to collect data from surface ECGs by using Holter ECG recordings from patients with different forms of diagnosed arrhythmias and/or specific ECG characteristics from heart diseases to support the development of new sensing and detection algorithms for implants.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
89
3-channel Holter ECG recording for patients undergoing an EPS
12-channel Holter ECG recording for patients undergoing a routine follow-up
Vivantes-Krankenhaus im Friedrichshain
Berlin, Germany
Universitätsklinikum Erlangen
Erlangen, Germany
Universitätsklinikum Gießen und Marburg GmbH (UKGM)
Giessen, Germany
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
Number of Successful ECG Recordings Per Condition
All ECG recordings were evaluated by an internal board and all patients were allocated to one of 15 groups (covering 14 ECG patterns of interest and one group for "no ECG pattern of interest recorded").
Time frame: 24 hours
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Universitätsklinikum Gießen und Marburg GmbH
Marburg, Germany