Numbers of patient with large scale of sensor data consume a lot of communication resource, bring a burden to the remote server and delay the decision time and notification time.
随着病人数的增加，服务中心收到的传感器的数据数量十分庞大，处理这些数据将需要消耗大量资源，这给远程服务中心带来的负担，延缓了健康状态的判断时间和紧急通知的时间。
Numbers of patient with large scale of sensor data consume a lot of communication resource, bring a burden to the remote server and delay the decision time and notification time.
随着病人数的增加，服务中心收到的传感器的数据数量十分庞大，处理这些数据将需要消耗大量资源，这给远程服务中心带来的负担，延缓了健康状态的判断时间和紧急通知的时间。
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