Department of Statistics, Texas A&M University, College Station, TX, United States of America.
Miller School of Medicine, University of Miami, Miami, FL, United States of America.
PLoS One. 2022 Sep 9;17(9):e0268934. doi: 10.1371/journal.pone.0268934. eCollection 2022.
Despite the world-wide prevalence of hypertension, there is a lack in open-source software for analyzing blood pressure data. The R package bp fills this gap by providing functionality for blood pressure data processing, visualization, and feature extraction. In addition to the comprehensive functionality, the package includes six sample data sets covering continuous arterial pressure data (AP), home blood pressure monitoring data (HBPM) and ambulatory blood pressure monitoring data (ABPM), making it easier for researchers to get started. The R package bp is publicly available on CRAN and at https://github.com/johnschwenck/bp.
尽管高血压在全球范围内普遍存在，但用于分析血压数据的开源软件却很匮乏。R 包 bp 填补了这一空白，它提供了用于血压数据处理、可视化和特征提取的功能。除了全面的功能外，该包还包含六个示例数据集，涵盖连续动脉压数据 (AP)、家庭血压监测数据 (HBPM) 和动态血压监测数据 (ABPM)，这使得研究人员更容易上手。R 包 bp 可在 CRAN 和 https://github.com/johnschwenck/bp 上公开获取。
