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处理后，设置一个时间窗口5分钟，求取平均呼吸率，记录在夜间呼吸率字段中；
2.对平均呼吸率值进行异常标记的判断,平均呼吸率大于24为呼吸率偏高，标记为1；平均呼吸率小于12为呼吸率偏低，标记为-1；
3.统计异常呼吸率标记次数占总的平均呼吸率次数的占比，异常呼吸率占比0-10%记为5分，10%-15%记为4分,15%-20%记为3分，20%-25%记为2分，25%-30%记为1分， 大于30%记为0分，作为该用户的当晚呼吸率得分，记录在呼吸率当晚得分字段中。

Respiratory abnormality annotation and scoring data based on sleep sensors can be applied in multiple scenarios. 1) Sleep quality assessment: By analyzing respiratory abnormality annotations and scoring data, one's sleep quality can be evaluated. These data can be used to determine whether sleep is sufficiently deep and whether there is a decline in sleep quality. 2) Health monitoring: Respiratory abnormality annotations and scoring data can be used to monitor people's health conditions. For example, for individuals with a history of heart disease, respiratory abnormalities can indicate excessive cardiac load, requiring timely adjustment of treatment plans.
1. Collect respiratory signal data from smart bed sensors. After outlier processing, set a 5-minute time window to calculate the average respiratory rate, which is recorded in the nighttime respiratory rate field.
2. Conduct anomaly annotation judgment on the average respiratory rate values: if the average respiratory rate is greater than 24, it is marked as high respiratory rate and annotated as 1; if the average respiratory rate is less than 12, it is marked as low respiratory rate and annotated as -1.
3. Calculate the proportion of abnormal respiratory rate annotations in the total number of average respiratory rate records. The nightly respiratory rate score for the user is assigned based on this proportion: 5 points for 0-10%, 4 points for 10%-15%, 3 points for 15%-20%, 2 points for 20%-25%, 1 point for 25%-30%, and 0 points for proportions greater than 30%. This score is recorded in the nightly respiratory rate scoring field.