文献类型：期刊文献

英文题名：An innovative approach for assessing coronary artery lesions: Fusion of wrist pulse and photoplethysmography using a multi-sensor pulse diagnostic device

作者：Ma, Xiaotian[1];Guo, Rui[1];Zhang, Chunke[1];Yan, Jianjun[2,3];Zhu, Guangyao[2];Wu, Wenjie[1];Yan, Haixia[1];Hong, Leixin[1]

机构：[1]Shanghai Univ Tradit Chinese Med, Sch Tradit Chinese Med, Shanghai 201203, Peoples R China;[2]East China Univ Sci & Technol, Inst Intelligent Percept & Diag, Sch Mech & Power Engn, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2024

卷号：10

期号：7

外文期刊名：HELIYON

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001228576300001)】；

语种：英文

外文关键词：Coronary heart disease (CHD); Wrist pressure pulse waves; Fingertip photoplethysmography (FPPG); Assessment of coronary artery occlusion severity; Random forest-based model

摘要：Coronary heart disease (CHD) is a leading cause of mortality globally and poses a significant threat to public health. Coronary angiography (CAG) is a gold standard for the clinical diagnosis of CHD, but its invasiveness restricts its widespread application. In this study, we utilized a pulse diagnostic device equipped with pressure and photoelectric sensors to synchronously and noninvasively capture wrist pressure pulse waves and fingertip photoplethysmography (FPPG) of patients undergoing CAG. The extracted features were utilized in constructing random forestbased models to assessing the severity of coronary artery lesions. Notably, Model 3, incorporating both wrist pulse and FPPG features, surpassed Model 1 (solely utilizing wrist pulse features) and Model 2 (solely utilizing FPPG features). Model3 achieved an Accuracy, Precision, Recall, and F1-score of 78.79%, 78.69%, 78.79%, and 78.70%, respectively. Compared to Model1 and Model2, Model 3 exhibited improvements by 4.55%, 5.25%, 4.55%, and 5.12%, and 6.06%, 6.58%, 6.06%, and 6.54% respectively. This fusion of wrist pulse and FPPG features in Model 3 highlights the advantages of multi-source information fusion for model optimization. Additionally, this research provides invaluable insights into the novel development of diagnostic devices imbued with TCM principles and their potential in managing cardiovascular diseases.