基于睡眠传感器的睡眠平均心率数据

基于睡眠传感器采集的用户实时心率数据，为用户的睡眠平均心率统计提供数据支持。此数据主要用于用户的日常健康管理服务，当睡眠平均心率走势发生明显变化时，及时提醒用户注意休息，并多留意自身的健康变化情况。对于健康用户，此数据可用于运动训练强度、饮酒量、情绪等方面的评估。对于非健康用户，此数据可定向辅助管理疾病的发展程度或所处阶段，如房颤、心动过速、甲状腺功能亢进等。1、预处理夜间10秒平均心率序列数据，对平均心率序列进行重采样，并填充缺失值。
2、截取睡眠期间的心率序列。
3、求心率序列的平均值，得睡眠平均心率。

This dataset is based on real-time heart rate data of users collected via sleep sensors, providing data support for the calculation of users' average sleep heart rate. This data is mainly used for users' daily health management services: when there is a significant change in the trend of average sleep heart rate, it will timely remind users to rest and pay more attention to their own health changes. For healthy users, this data can be used to evaluate exercise training intensity, alcohol consumption, emotional status and other aspects. For users with health conditions, this data can targetedly assist in managing the progression or stage of diseases, such as atrial fibrillation, tachycardia, hyperthyroidism and so on.
1. Preprocess the 10-second average heart rate sequence data collected at night: resample the average heart rate sequence and fill in missing values.
2. Extract the heart rate sequence during the sleep period.
3. Calculate the average value of the heart rate sequence to obtain the average sleep heart rate.