A method for photoplethysmography signal quality assessment fusing multi-class features with multi-scale series information

• Published in: Sheng wu yi xue gong cheng xue za zhi Vol. 40; no. 3; pp. 536 - 543
• Main Authors: Qi, Yusheng, Zhang, Aihua, Ma, Yurun, Wang, Huidong, Li, Jiaqi, Chen, Cheng
• Format: Journal Article
• Language: Chinese
• Published: China Sichuan Society for Biomedical Engineering 25.06.2023
• Subjects: Accuracy; Artificial neural networks; Deep learning; Long short-term memory; Machine learning; Neural networks; Physiology; Quality assessment; Quality control; Signal quality; Multi-scale time series information; Photoplethysmography; Quality assessment; Multi-class features

Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment of physiological information. Therefore, performing a quality assessment before extracting physiological information is crucial. This paper proposed a new PPG signal quality assessment by fusing mult...