Convenient prediction of TcPO2 level using machine learning techniques with the PPG signal’s characteristic features

Xiaoyu Zhang,Yang Xu,Yunlong Li, Jiangyi Shan,Tianjiao Hu,Lisheng Gao,Yining Sun,Mingwei Chen,Xiaotong Zhao,Zuchang Ma

Biomedical Signal Processing and Control（2023）

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摘要

•We proposed a fast and inexpensive technique for predicting the TcPO2.•Photoplethysmography features play a dominant role in TcPO2 estimation.•XGBoost model has the best performance in predicting TcPO2 value in this study.

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关键词

tcpo2 level,ppg signals,machine learning,machine learning techniques,prediction

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