Technological Intervention of Sleep Apnea Based on Semantic Interoperability

Abstract Sleep apnea is an important factor that could affect sleep quality. A great number of existing monitoring and intervention devices, such as the polysomnography, mature heart rate respiratory bracelets ventilator headgear can improve breathing in sleep, but are all functioning separately, with their data being disconnected, which fails to achieve multi-parameter fusion or a greater variety applications. With development Internet Things (IoT), information interaction between IoT devices facilitate integration has become hot research topic. This paper focuses on interoperability model technology for establishing among health syndrome. analyzes heterogeneity knowledge organization system through abstract representation information, establishes mapping relationship data, realizes semantic elimination. It also defines inference rules about scenarios, achieves other finally unmonitored closed-loop control intervention. According test results, react quickly scenarios.