BCG dataset

BCG dataset: The bed based ballistocardiography dataset collected and shared by Carlson et al. [3]. Both ABP and PPG signals were recorded from 40 subjects, with one record per subject. The original sampling rate of the signals is 1000 Hz. We resampled them at 125 Hz to be consistent with the previous data sets. Then, we multiplied the ABP signals by a factor of 100 since they are scaled at 100 mmHg/volt in the downloaded dataset. After preprocessing, there are 2559 segments left, which is around 4 hours of recording. To sum up, the BCG dataset is a small to medium-sized set with less data variation given its low number of subjects; its remarkably high ratio of segments per subject (63.97); and a narrower BP distribution. We applied a 5-fold CV to partition the data. [3] Carlson, C. et al. Bed-based ballistocardiography dataset (2020). IEEE Dataport https://dx.doi.org/10.21227/77hc-py84.

BCG数据集：由Carlson等人[3]采集并共享的床式心冲击图（Ballistocardiography, BCG）数据集。该数据集采集了40名受试者的动脉血压（Arterial Blood Pressure, ABP）与光电容积描记信号（Photoplethysmography, PPG），每名受试者对应单条记录。信号的原始采样率为1000 Hz，为与此前公开数据集的参数保持一致，我们将其重采样至125 Hz。由于下载得到的原始数据集中ABP信号以100 mmHg/volt的比例进行了缩放，我们将其乘以100以完成幅值校准。预处理完成后，共保留2559个信号片段，总有效记录时长约为4小时。综上，该BCG数据集属于中小规模数据集：因受试者数量有限，数据变异度较低；单受试者对应的信号片段占比极高（63.97）；且血压（Blood Pressure, BP）分布区间更窄。我们采用5折交叉验证对数据集进行划分。[3] Carlson, C. 等. 床式心冲击图数据集（2020）. IEEE Dataport https://dx.doi.org/10.21227/77hc-py84.

搜集汇总

背景与挑战

背景概述

BCG数据集是一个基于床的ballistocardiography数据集，包含40名受试者的动脉血压（ABP）和光电容积脉搏波（PPG）信号，原始采样率为1000 Hz，但被重采样为125 Hz并进行了预处理。该数据集规模中小型，数据变异较少，每个受试者平均有63.97个片段，血压分布较窄，适用于机器学习非侵入性血压估计的基准研究。