患者健康监测数据

患者健康监测数据：通过监测设备获取、分析和收集患者各项健康指标的数据集。本数据集可以帮助医师实时掌握患者的健康状况。医师可以根据实际需求和现场状况采取合理的预警阈值参数和诊疗方案。本数据集包含4个子数据集分别为标准数据集、原始数据集、预警数据集、增量数据集。
1、标准数据集，患者的健康监测值变化相关的自然数据。采集的原始数据由设备上传到服务器，服务器通过转换计算得到的患者实际生理指标的数据集，包括时间、设备、患者信息、监测数据等信息。
2、原始数据集，由监测设备根据特定的时钟变化获取的传感器脉冲信号转换成的二进制数据，包括设备、传感器、时间戳、信号值等信息。
3、预警数据集，根据医学病理标准制定的相应指标的阈值，例如心跳、血压、体温等。
4、增量数据集，在离线状态下设备采集的监测数据集缓存在设备存储内，通过后续上传或提取输出到云端服务器中。

Patient Health Monitoring Data: A dataset that acquires, analyzes and collects various health indicators of patients via monitoring equipment. This dataset enables clinicians to grasp patients' health conditions in real time, and allows clinicians to set appropriate early warning threshold parameters and develop diagnosis and treatment plans based on actual needs and on-site conditions. This dataset consists of 4 subsets: Standard Dataset, Raw Dataset, Early Warning Dataset and Incremental Dataset.
1. Standard Dataset: Natural data related to changes in patients' health monitoring values. It is a dataset of patients' actual physiological indicators obtained by converting and calculating the raw data collected by monitoring equipment and uploaded to the server, including information such as time, equipment, patient details and monitoring data.
2. Raw Dataset: Binary data converted from sensor pulse signals acquired by monitoring equipment based on specific clock changes, including information such as equipment, sensors, timestamps and signal values.
3. Early Warning Dataset: Thresholds of corresponding indicators formulated based on medical pathological standards, such as heart rate, blood pressure, body temperature, etc.
4. Incremental Dataset: Monitoring data collected by equipment in offline mode and cached in the device's storage, which is subsequently uploaded or extracted and output to cloud servers.

搜集汇总

数据集介绍

特点

患者健康监测数据是一个包含四个子数据集的数据集合，主要用于医师对患者健康状况的实时监控和诊疗方案的制定。数据集通过物联网、云计算等技术获取，适用于临床诊断、医学研究、医疗器材开发等多个领域。