Lightweight Blood Pressure Estimation Algorithm
收藏DataCite Commons2024-06-07 更新2025-04-16 收录
下载链接:
https://ieee-dataport.org/documents/lightweight-blood-pressure-estimation-algorithm
下载链接
链接失效反馈官方服务:
资源简介:
Subjects are categorized into three groups based on office blood pressure threshold: Normal (N), Prehypertension (P), and Stage 1 Hypertension (S). Each group contains 100 subjects, and all records have duration of at least 8 minutes. This study uses sliding window with length of 1 second and step size of 1 second to segment records. PPG, ECG and BP yield 167432 segments, respectively. MAP, DBP, and SBP are defined as average, minimum, and maximum of each BP segment, respectively. Max-Min normalization is applied to PPG and ECG segments.
受试者根据诊室血压阈值分为三组:正常组(N)、高血压前期组(P)和1级高血压组(S)。每组包含100名受试者,所有记录的持续时间均不少于8分钟。本研究采用长度为1秒、步长为1秒的滑动窗口对记录进行分割。光电容积脉搏波(PPG)、心电图(ECG)和血压(BP)分别生成167432个片段。平均动脉压(MAP)、舒张压(DBP)和收缩压(SBP)分别定义为每个血压片段的平均值、最小值和最大值。对光电容积脉搏波(PPG)和心电图(ECG)片段进行最大-最小归一化(Max-Min normalization)处理。
提供机构:
IEEE DataPort
创建时间:
2024-06-07



