Key result
Morphology-based DSP algorithm detects real-time P waves with ~99% sensitivity in pacemaker atrial electrograms.
Why the study?
Cardiac event discrimination in right atrial electrograms causes improper atrial sensing in implantable devices, necessitating improved detection algorithms.
Does a morphology-based adaptive algorithm accurately detect P waves and far-field R waves in real-time in pacemaker patient atrial electrograms?
Comparison
Morphology-based adaptive algorithm vs manual annotation of electrograms
Design
Observational study with offline and real-time algorithm evaluation
Authors
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May aid real-time atrial sensing in pacemakers; leaves open clinical impact on arrhythmia detection pending prospective validation.
Observational (n=38)
Does a morphology-based adaptive algorithm accurately detect P waves and far-field R waves in real-time in pacemaker patient atrial electrograms?
A morphology-based adaptive algorithm using a DSP system can accurately detect P waves and far-field R waves in real-time, potentially improving arrhythmia detection and reducing improper atrial sensing in pacemakers.
Theres et al. (2000) conducted an observational in Dual chamber pacemaker implant patients (n=38). Morphology-based adaptive algorithm (DSP system) vs. Manual annotation was evaluated on Real-time P wave detection sensitivity. A morphology-based adaptive digital signal processing algorithm accurately detected real-time P waves (sensitivity 98.9%) and far-field R waves (sensitivity 91.0%) in pacemaker atrial electrograms.
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