[HTML][HTML] Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias
Biomedical Signal Processing and Control, 2021•Elsevier
Objective A model for simulating motion-induced artifacts in the wrist photoplethysmogram
(PPG) is proposed for the purpose to improve realism of PPG models. Methods The
database of day-long PPGs, acquired during cardiac rehabilitation, is used to extract artifact
characteristics, which further serve as a basis for modeling artifacts in simulated PPGs with
life-threatening arrhythmias. Results Depending on the recording, 14–49% of the PPG
duration is corrupted by artifacts, mostly due to device displacement, forearm and hand …
(PPG) is proposed for the purpose to improve realism of PPG models. Methods The
database of day-long PPGs, acquired during cardiac rehabilitation, is used to extract artifact
characteristics, which further serve as a basis for modeling artifacts in simulated PPGs with
life-threatening arrhythmias. Results Depending on the recording, 14–49% of the PPG
duration is corrupted by artifacts, mostly due to device displacement, forearm and hand …
Objective
A model for simulating motion-induced artifacts in the wrist photoplethysmogram (PPG) is proposed for the purpose to improve realism of PPG models.
Methods
The database of day-long PPGs, acquired during cardiac rehabilitation, is used to extract artifact characteristics, which further serve as a basis for modeling artifacts in simulated PPGs with life-threatening arrhythmias.
Results
Depending on the recording, 14–49% of the PPG duration is corrupted by artifacts, mostly due to device displacement, forearm and hand motion. The artifact type influence on the performance of a life-threatening arrhythmia detector shows that the sensitivity drops by 45–48% for extreme bradycardia and by 13–32% for ventricular tachycardia. Poor contact causes 2–4 times more false alarms of ventricular tachycardia compared to the other artifact types under investigation.
Conclusion
Simulation of realistic artifacts encountered in activities of daily living allows to comprehensively investigate arrhythmia detectors and understand the artifact types most negatively affecting detection performance.
Significance
The proposed PPG artifact model is of importance for developing and testing artifact-robust arrhythmia detectors.
Elsevier
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