TCM proposes that the core pathological mechanism of depression is"deficient qi with stagnation and heat",with the following pathogenic characteristics and evolution patterns:"deficient qi"as the nature,and deficiency in nature is in spleen,and deficiency in superficiality is in brain;"stagnation"is the superficiality,and qi stagnation,phlegm stagnation,and blood stagnation are in the brain collaterals;"heat"fires the brain collaterals,depression raised the heat,and excessive heat accumulated to stagnation.Based on the understanding of the pathogenesis of depression caused by stress sensitization in modern medicine,this article explored the potential association between this mechanism and the core pathogenesis of"deficient qi with stagnation and heat".It proposed that tonifying deficiency,promoting circulation,and clearing heat are the basic treatment principles for depression.By inhibiting inflammatory reactions and improving the stress sensitization state of neurons and glial cells,TCM compound formulas can exert multi-target and multi-dimensional therapeutic characteristics.

The development of information technology in the medical industry is accelerating the construction of 3-level rehabilitation networks centering on community-based rehabilitation, which is based on the Internet and in combination with the Internet of things(IOT). A municipal rehabilitation hospital cooperated with the health centers of sub-district communities in the city to build a remote rehabilitation network based on IOT technology, for rehabilitation training of community stroke patients. The two sides worked out a cooperation scheme on project management, designed and built a remote community rehabilitation management model. Under the remote monitoring and equipment data IOT, the medical team of the municipal rehabilitation hospital could formulate the therapeutic plan according to the immediately obtained relevant functional evaluation data, and the medical team of the community health service center was responsible for the implementation of the plan. Fifty-three patients in the experimental group received the training of remote lower limb intelligent feedback system based on IOT together with routine rehabilitation training. After 8 weeks of treatment, the functional evaluation data of the two groups were improved in varying degrees( P< 0.05), but the improvement of the experimental group was significantly better than that of the control group( P < 0.05). Remote rehabilitation under the construction path of remote rehabilitation network based on IOT technology could significantly promote the improvement of post-functional rehabilitation of community stroke patients. This study can provide reference for the construction of three-level remote rehabilitation networks based on IOT and the implementation of home-based remote rehabilitation therapy in the future.