人体运动RRI、心率、血压、血氧及体重数据集

数据采用如智能手表、心率带、心电贴、体脂秤等可穿戴设备在静止或运动等不同人体行为状态情况下采集数据，对采集的数据将不符合实际情况的极值数据根据使用情况去掉或是差值填补,该数据集用于研究不同运动状态下人心率、血氧、血压的变化，以此辅助评价运动者的生理状况，根据生理状况衡量运动对健康的促进效果。

This dataset comprises data collected from wearable devices including smartwatches, heart rate belts, ECG patches, and body fat scales under various human behavioral states such as rest and exercise. For the collected data, extreme values that deviate from real-world scenarios will either be removed or filled with interpolated values based on specific application needs. This dataset is intended to study the changes in heart rate, blood oxygen saturation, and blood pressure of individuals under different exercise states, so as to assist in evaluating the physiological conditions of exercisers and quantify the health-promoting effects of exercise based on these physiological metrics.