基于睡眠传感器的睡眠异常评价数据

基于睡眠传感器的睡眠异常评价数据可以应用于以下场景：
1）健康管理：睡眠异常评价数据可以用于评估睡眠质量，帮助人们改善睡眠质量和预防相关健康问题。2）健康咨询与指导：基于睡眠异常评价数据，健康咨询师或医生可以为个体提供针对性的睡眠建议和指导，帮助他们改善睡眠质量和调整作息习惯。睡眠异常字段0代表正常，1代表异常。异常的判定依据睡眠时长、深睡时长、睡眠效率三个指标，当其中一个指标发生异常上，认为用户当晚的数据存在睡眠异常。这个三个指标的异常规则如下：1）睡眠时长小于240分钟；2）深睡时长小于20分钟；3）睡眠效率低于0.7。

Sleep abnormality assessment data based on sleep sensors can be applied in the following scenarios:
1) Health management: Sleep abnormality assessment data can be used to evaluate sleep quality, helping individuals improve their sleep quality and prevent related health issues.
2) Health consultation and guidance: Based on sleep abnormality assessment data, health consultants or physicians can provide targeted sleep advice and guidance to individuals, assisting them in enhancing sleep quality and regulating their daily routines.

The sleep abnormality field uses 0 to denote normal status and 1 to denote abnormal status. Sleep abnormality is determined based on three indicators: sleep duration, deep sleep duration, and sleep efficiency. If any one of these three indicators is abnormal, the user's sleep data for that night is considered to indicate a sleep abnormality. The specific abnormality criteria are as follows:
1) Sleep duration less than 240 minutes;
2) Deep sleep duration less than 20 minutes;
3) Sleep efficiency lower than 0.7.

搜集汇总

数据集介绍

特点

该数据集是由浙江麒盛数据服务有限公司提供的基于睡眠传感器的睡眠异常评价数据，包含1001条记录，每日更新。数据集通过睡眠时长、深睡时长和睡眠效率三个指标评估睡眠异常，适用于健康管理和健康咨询等场景。