Abstract
In the context of the deepening degree of population aging, the attention of intelligent medical treatment and intelligent elderly care has gradually increased, wearable health devices and telemedicine have also developed rapidly, and medical big data technology has also been widely used in relevant fields. Using the real-time sensor detection data of a nursing home equipped with intelligent mattresses in real life, this paper analyzes the variation law of the elderly's heart rate and respiratory rate in bed, and tries to obtain the parameters in the uninterrupted and automatic sudden and chronic health condition early warning mechanism based on this Law and relevant domain knowledge, also realizes uninterrupted real-time automatic health management and risk early warning without any impact on users' activities, and designs the framework of elderly health monitoring system including intelligent equipment, guardian and data center, which is of great significance to the daily health management and risk early warning of the elderly.
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