睡眠质量数据

数据简介：主要来源于一个高端养老机构，通过多种传感器运用先进的心肺耦合技术，监测心电（心率变化率）、呼吸（呼吸率）信号及体动等生理信号，精确测量自主神经系统的动态变化，实时评估睡眠状态稳定性。数据主要包括：心率（平均值）、呼吸、体动、睡眠评分等。

Dataset Overview: This dataset is primarily sourced from a high-end senior care institution. It uses multiple sensors and advanced cardio-pulmonary coupling technology to monitor physiological signals including electrocardiogram signals (with heart rate variability as the key derived index), respiratory signals (respiratory rate) and body movement. It accurately measures the dynamic changes of the autonomic nervous system and performs real-time evaluation of sleep stability. The main data contents include: average heart rate, respiratory parameters, body movement data, sleep scores and other related indicators.

搜集汇总

数据集介绍

特点

该数据集主要来源于高端养老机构，通过心肺耦合技术监测心率、呼吸等生理信号，用于评估老人睡眠质量。适用于养老机构和居家服务中心，帮助护理人员掌握老人睡眠状况并采取干预措施，提升养老服务业的管理水平。数据格式为excel，技术关键词包括大数据和心肺耦合技术。