| Title |
Modeling of artifacts in the wrist photoplethysmogram: Application to the detection of life-threatening arrhythmias |
| Authors |
Paliakaitė, Birutė ; Petrėnas, Andrius ; Sološenko, Andrius ; Marozas, Vaidotas |
| DOI |
10.1016/j.bspc.2021.102421 |
| Full Text |
|
| Is Part of |
Biomedical signal processing and control.. Oxford : Elsevier. 2021, vol. 66, art. no. 102421, p. 1-10.. ISSN 1746-8094. eISSN 1746-8108 |
| Keywords [eng] |
Motion artifacts ; Artifact characterization ; Signal quality index (SQI) ; Wearable device ; Bradycardia ; Tachycardia |
| Abstract [eng] |
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. © 2021 The Author(s). |
| Published |
Oxford : Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
