Niederhauser, Thomas; Sanchez Martinez, Sergio; Haeberlin, Andreas; Marisa, Thanks; Goette, Josef; Jacomet, Marcel; Vogel, Rolf (September 2013). Simultaneous registration of ECG and cardiac motion by a single esophageal probe In: Computing in Cardiology Conference 2013 40 (pp. 651-654). Computing in Cardiology
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Niederhauser et al. - 2013 - Simultaneous registration of ECG and cardiac motio.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (751kB) | Preview |
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.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
School of Engineering and Computer Science > Institute for Human Centered Engineering (HUCE) |
Name: |
Niederhauser, Thomas0000-0003-2633-0844; Sanchez Martinez, Sergio; Haeberlin, Andreas; Marisa, Thanks; Goette, Josef; Jacomet, Marcel and Vogel, Rolf |
Subjects: |
T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Publisher: |
Computing in Cardiology |
Language: |
English |
Submitter: |
Thomas Niederhauser |
Date Deposited: |
18 Nov 2020 15:47 |
Last Modified: |
23 Jun 2021 12:03 |
Uncontrolled Keywords: |
Electrocardiography, filtering, Catheters, diseases, bioelectric potentials, patient monitoring, medical signal processing, feature extraction, heart electrical activity, patient diagnosis, adaptive filters, biomechanics, displacement measurement, convergence, Adaptive filter, Brain modeling, biological organs, acceleration measurement, acceleration data, acceleration measurements, acceleration signals, activity sequences, cardiac motion extraction, esophageal catheter, 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, Rotation measurement |
ARBOR DOI: |
10.24451/arbor.13147 |
URI: |
https://arbor.bfh.ch/id/eprint/13147 |