基于睡眠传感器的心率变异性PNN50数据

以睡眠传感器的心率变异性PNN50数据为基础，可以应用于多个领域和场景：1）评估睡眠质量：PNN50数据有助于分析睡眠质量，包括深睡眠、浅睡眠和快速眼动（REM）睡眠等阶段。
2）健康管理：PNN50数据可用于评估心血管健康状况，监测心脏健康和应激反应，有助于预防心血管疾病和提高整体健康水平。3）运动训练：运动员可利用PNN50数据监测训练后的恢复情况，调整训练强度和频率，避免过度训练和提高运动表现。睡眠传感器实时收集用户在床状态下的心动间期数据，即每次心脏跳动与下一次心脏跳动之间的时间间隔，单位ms，记录在心动周期字段内，并统计心动周期的个数作为心动周期的长度。计算所有心动周期相邻两个数据的差值，记录在心动周期相邻数据之差字段内。统计出心动周期相邻数据之差绝对值大于50的个数，作为NN50的个数，最后计算NN50的个数占心动周期长度的百分比，作为心率变异性PNN50。

Based on the heart rate variability PNN50 data collected by sleep sensors, this dataset can be applied to multiple domains and scenarios: 1) Sleep quality assessment: PNN50 data helps analyze sleep quality, including stages such as deep sleep, light sleep, and rapid eye movement (REM) sleep. 2) Health management: PNN50 data can be used to evaluate cardiovascular health status, monitor cardiac health and stress responses, which contributes to preventing cardiovascular diseases and improving overall health outcomes. 3) Athletic training: Athletes can utilize PNN50 data to monitor post-training recovery conditions, adjust training intensity and frequency, avoid overtraining and enhance athletic performance. The sleep sensor collects the user's cardiac interbeat interval data in real time when the user is in bed. Cardiac interbeat interval refers to the time interval between each heartbeat and the next heartbeat, with the unit of millisecond (ms), which is recorded in the cardiac cycle field. The total number of cardiac cycles is counted as the length of the cardiac cycle. Calculate the difference between every two adjacent cardiac cycle data points, and record this difference in the adjacent difference field of cardiac cycle data. Count the number of cases where the absolute value of the adjacent difference of cardiac cycle data exceeds 50, which is defined as the count of NN50. Finally, calculate the percentage of the NN50 count relative to the total length of the cardiac cycle, which is the heart rate variability PNN50.

搜集汇总

数据集介绍

特点

该数据集包含1001条基于睡眠传感器的心率变异性PNN50数据，每日更新。数据包括用户ID、心动周期、心动周期相邻数据之差、心动周期长度、NN50的个数和心率变异性PNN50等字段。主要应用于睡眠质量评估、健康管理和运动训练等领域。