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Updated: Jan 29, 2026
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Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
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Atrial Fibrillation Detection from At-Rest PPG Signals Using an SDOF-TF Method
1Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Sensors (Basel, Switzerland)
|January 28, 2026
Summary
This study introduces a novel time-frequency method to accurately detect atrial fibrillation (AF) using photoplethysmography (PPG) signals. The technique effectively removes motion artifacts, achieving 100% accuracy in AF detection.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Cardiology
Background:
- Photoplethysmography (PPG) signals are used for atrial fibrillation (AF) detection.
- Current methods lack perfect accuracy, especially with motion artifacts (MA).
Purpose of the Study:
- To evaluate a single-degree-of-freedom time-frequency (SDOF-TF) method for AF detection using at-rest PPG signals.
- To assess the method's ability to quantify and remove MA and noise.
Main Methods:
- Utilized an SDOF model to analyze PPG signal harmonics and their instant parameters.
- Leveraged MA's influence on system parameters for quantification and removal.
- Extracted arterial pulse waveform, heart rate (HR), heart rate variability (HRV), respiration rate (RR), and respiration modulation (RM).
Main Results:
- Achieved 100% accuracy in distinguishing AF from non-AF cases using the MIMIC PERform AF dataset.
- Identified three key features: RM, HRV from instant frequency/phase, and HR standard deviation across harmonics.
- Observed increased RM in AF cases and a diminished trend of RM with harmonic order compared to non-AF subjects.
Conclusions:
- The SDOF-TF method accurately detects AF from at-rest PPG signals by effectively handling MA.
- RM, HRV, and HR variability are crucial indicators for differentiating AF from non-AF.
- This method offers a promising approach for non-invasive AF diagnosis.
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