基于生命体征信息反馈的生命支持系统智能决策与控制技术实验验证数据

本数据集旨在利用基于生命体征反馈的生命支持系统，系统性地收集和分析受试者的心率、血氧饱和度和体温等生命体征数据。所有数据均于2024年在山东大学齐鲁医院采集。该数据集由一个数据文件组成，包含了受试者的生命体征和伤情诊断信息，具体包括以下内容：①受试者ID：标识每个受试者的唯一编号；②性别：受试者的性别，包括男性和女性；③年龄：受试者的年龄，以岁数表示；④心率（bpm）：记录每个受试者的心跳次数，以每分钟心跳数表示；⑤血氧饱和度（%）：显示受试者的血氧饱和度百分比；⑥体温（℃）：记录受试者的体温，单位为摄氏度；⑦实际伤情类型：受试者的实际伤情类型（如低氧血症、低温症、心律失常等)；⑧预测伤情类型：展示基于生命体征反馈的生命支持系统预测的伤情类型，用于验证系统的预测准确性。此数据集可用于分析和验证生命支持系统的智能决策与控制技术的有效性，尤其在急救响应和公共健康管理中的应用。数据集大小为14.5 KB。This dataset aims to systematically collect and analyze vital sign data including heart rate, blood oxygen saturation, body temperature and other relevant metrics of subjects using a vital sign feedback-based life support system. All data were collected at Qilu Hospital of Shandong University in 2024. This dataset consists of a single data file containing vital signs and injury diagnosis information of the subjects, with the specific details as follows: ① Subject ID: Unique number identifying each subject; ② Gender: Gender of the subject, including male and female; ③ Age: Age of the subject, measured in years; ④ Heart Rate (bpm): Number of heartbeats per minute recorded for each subject; ⑤ Blood Oxygen Saturation (%): Percentage of blood oxygen saturation of the subject; ⑥ Body Temperature (℃): Body temperature of the subject recorded in degrees Celsius; ⑦ Actual Injury Type: Actual injury type of the subject (e.g., hypoxemia, hypothermia, arrhythmia, etc.); ⑧ Predicted Injury Type: Predicted injury type generated by the vital sign feedback-based life support system, used to verify the prediction accuracy of the system. This dataset can be used to analyze and validate the effectiveness of intelligent decision-making and control technologies for life support systems, particularly their applications in emergency response and public health management. The dataset has a size of 14.5 KB.

搜集汇总

背景与挑战

背景概述

该数据集包含2024年在山东大学齐鲁医院采集的受试者生命体征数据，如心率、血氧饱和度和体温，用于验证基于生命体征反馈的生命支持系统的智能决策与控制技术。数据集规模为14.5 KB，适用于分析急救响应和公共健康管理中的系统有效性。