Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective To observe the clinical effect of adenoidectomy in the treatment of children with chronic rhinosinusitis ,to discuss its postoperative complications and postoperative rehabilitation .Methods Chose 100 children with chronic rhinosinusitis from February 2011 to April 2013 treated in our hospital as observation objects ,the cases were randomly divided into experimental group and control group ,with 50 cases in each group ,patients in experimental group was given drug and adenoidectomy treatment ;patients in control group was given drug orally external treatment only .Observed the postoperative complications and postoperative recovery ,then compared treatment effect of two groups .Results The total efficiency of experimental group was 96% ,control group was 60% ,the difference was statistically significant (P<0 .05);compared with those before operation ,there were significant differ-ence in experiment group in postoperative snoring ,purulence stuff ,sinus patency ,etc(P<0 .05) .Moreover ,experimental group and control group had difference in hospitalization days .The control group not only had high cost and long hospital stay but also had relatively high recurrence rate (P<0 .05) .Conclusion The curative effect of adenoidectomy combined with drugs in the treatment of children with chronic rhinosinusitis was much better than drug treatment only .

OBJECTIVE: To test the immunoglobulin free light chain (FLC) from nasal secretion and serum of patients with allergic rhinitis(AR)and non-allergic rhinitis(NAR) for the purpose of exploring the possible immunological mechanism. METHOD: Ninety consecutive patients were selected between January 2009 and January 2012, involving 45 patients with AR and 45 patients with NAR diagnosed by symptoms,signs,skin prick tests(SPT) and specific IgE (slgE). Forty-five volunteers were chosen as healthy control (HC). According to the visual analogue scale (VAS) scores,the nasal symptoms of AR and NAR,including sneeze. Nasal discharge. Nasal obstruction and nasal itching were compared. ELISA was used to detect the total IgE, IL-16, IL-17 in nasalsecretion and serum. The data was analyzed by SPSS 17.0 software. RESULT: There was no statistical difference between AR and NAR group in nasal symptoms (P > 0.05); In serum, IL-16 and IL-17 increased in AR group comparared to NAR group (P < 0.05); IL-16 and IL-17 increased in NAR group comparared to HC group (all P < 0.05); In nasal secretion, IL-16 and IL-17 increased in NAR and AR group comparared to HC group (all P < 0.05). CONCLUSION IL-16, IL-17 takes part in the path of physiological process of AR and NAR with the immunological mechanism.
Adolescent ; Adult ; Case-Control Studies ; Female ; Humans ; Interleukin-16 ; blood ; metabolism ; Interleukin-17 ; blood ; metabolism ; Male ; Middle Aged ; Rhinitis ; immunology ; metabolism ; Rhinitis, Allergic ; immunology ; metabolism ; Young Adult