中老年慢性病人群远程监测与评价系统数据集

生理数据采集频率设定
对于心率、血压等关键生理指标，根据患者病情严重程度和稳定性设定不同采集频率。
数据传输算法规则
数据传输优先级：当检测到生理数据出现紧急异常值（如心率低于 40 次 / 分钟或高于 180 次 / 分钟）时，数据传输自动提升为最高优先级，优先占用网络带宽，确保数据快速、完整地传输至监测中心，减少传输延迟时间，一般要求紧急数据传输延迟不超过 1 秒。
正常数据传输在网络带宽充足时批量传输，以节约网络资源。采用数据压缩和断点续传技术，在网络不稳定情况下，保证数据完整传输，如每传输 100KB 数据进行一次校验，若传输中断，恢复网络后从断点继续传输。
数据分析算法规则
异常数据判断逻辑：采用多维度数据分析算法，综合分析一段时间内生理数据的变化趋势、波动范围以及与患者历史数据的对比情况。
建立不同慢性病的数据分析模型，如针对慢性呼吸系统疾病患者，结合血氧饱和度、呼吸频率和肺功能相关数据进行综合分析。
数据评价算法规则
健康状况综合评价：为每个患者建立个性化的健康评价指标体系，根据不同慢性病类型赋予各项生理数据不同权重。

Physiological Data Collection Frequency Setting
For key physiological indicators such as heart rate and blood pressure, different collection frequencies are set based on the patient's disease severity and stability.

Data Transmission Algorithm Rules
Data Transmission Priority: When emergency abnormal values are detected in physiological data (e.g., heart rate lower than 40 beats per minute or higher than 180 beats per minute), the data transmission will be automatically upgraded to the highest priority, occupying network bandwidth preferentially to ensure rapid and complete transmission of data to the monitoring center and reduce transmission delay. The transmission delay of emergency data is generally required to be no more than 1 second.
Normal data is transmitted in batches when network bandwidth is sufficient to conserve network resources. Data compression and resumable transfer technologies are adopted to ensure complete data transmission under unstable network conditions. For example, a verification check is performed every 100 KB of transmitted data. If the transmission is interrupted, the transmission will resume from the breakpoint after the network is restored.

Data Analysis Algorithm Rules
Abnormal Data Judgment Logic: A multi-dimensional data analysis algorithm is adopted to comprehensively analyze the change trend, fluctuation range of physiological data over a certain period of time, and the comparison with the patient's historical data.
Data analysis models for different chronic diseases are established. For example, for patients with chronic respiratory diseases, comprehensive analysis is conducted by combining data related to blood oxygen saturation, respiratory rate and lung function.

Data Evaluation Algorithm Rules
Comprehensive Health Status Evaluation: A personalized health evaluation index system is established for each patient, with different weights assigned to each physiological indicator based on the type of chronic disease.

搜集汇总

数据集介绍

特点

该数据集包含43条中老年慢性病人群的健康监测数据，每月更新，涵盖血压、血糖、心率等生理指标，并提供健康建议和风险预警，适用于疾病监测与管理、医疗资源优化配置等场景。