官方服务：
资源简介：
Tracking sleeping patterns to improve personal health.
应用场景：
创建时间：
2023-10-31
相关数据集
基于睡眠传感器的呼吸异常标记与得分数据
基于睡眠传感器的呼吸异常标记与得分数据可以应用于多个场景。1）睡眠质量评估：通过分析呼吸异常的标记与得分数据，可以评估一个人的睡眠质量。这些数据可以用来判断睡眠是否深度充足，是否存在睡眠质量下降的问题。2）健康监测：呼吸异常标记与得分数据可以用于监测人们的健康状况。例如，对于有心脏病史的人群，呼吸异常可以提示心脏负荷过重，需要及时调整治疗方案。1.收集智能床传感器的呼吸信号数据，这些数据经过异常值
浙江省数据知识产权登记平台2024-03-07 更新740
NHANES 2011-2014 Sleep Data
The released data, "NHANES Preliminary Day Level Output", consists of various sleep metrics that were generated using accelerometer data from the 2011-2014 National Health and Nutrition Examination Su
ICPSR2025-01-01 更新120
Selection of superior bifidobacteria in the presence of rotavirus
The main purpose of this study was to investigate bifidobacteria flora in fecal samples from children with rotavirus infection and determine the significance of their selected probiotic properties for
DataCite Commons2020-08-27 更新70
DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology
Sleep is an intrinsic part of human life, and recent advancements in wearable technology and machine learning have promised continuous and non-invasive methods of tracking sleep health and patterns, p
physionet.org350
INFLUENCES OF EXERCISE APPS ON THE HEALTH OF OBESE COLLEGE STUDENTS
ABSTRACT Introduction In a scenario of continuous improvement of telecommunications network infrastructure and the maturation of related industrial chains, sports-oriented cell phone applications can
DataCite Commons2023-03-11 更新120
