DocumentCode
3595108
Title
Simultaneous registration of ECG and cardiac motion by a single esophageal probe
Author
Niederhauser, Thomas ; Sanchez Martinez, Sergio ; Haeberlin, Andreas ; Marisa, Thanks ; Goette, Josef ; Jacomet, Marcel ; Vogel, Rolf
Author_Institution
ARTORG Cardiovascular Eng., Bern, Switzerland
fYear
2013
Firstpage
651
Lastpage
654
Abstract
Long-term surface ECG is routinely used to diagnose paroxysmal arrhythmias. However, this method only provides information about the heart´s electrical activity. To this end, we investigated a novel esophageal catheter that features synchronous esophageal ECG and acceleration measurements, the latter being a record of the heart´s mechanical activity. The acceleration data were quantified in a small study and successfully linked to the activity sequences of the heart in all subjects. The acceleration signals were additionally transformed into motion. The extracted cardiac motion was proved to be a valid reference input for an adaptive filter capable of removing relevant baseline wandering in the recorded esophageal ECGs. Taking both capabilities into account, the proposed recorder might be a promising tool for future long-term heart monitoring.
Keywords
acceleration measurement; adaptive filters; bioelectric potentials; biological organs; biomechanics; catheters; diseases; electrocardiography; feature extraction; medical signal processing; patient diagnosis; patient monitoring; acceleration data; acceleration measurements; acceleration signals; activity sequences; adaptive filter; cardiac motion extraction; esophageal catheter; heart electrical activity; heart mechanical activity recording; long-term heart monitoring; long-term surface ECG; paroxysmal arrhythmia diagnosis; relevant baseline wandering removal; simultaneous ECG registration; single esophageal probe; synchronous esophageal ECG feature; Abstracts; Brain modeling; Convergence; Displacement measurement; Electrocardiography; Filtering; Rotation measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2013
ISSN
2325-8861
Print_ISBN
978-1-4799-0884-4
Type
conf
Filename
6713461
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