The Construction And Data Analysis Of Sleep Monitoring Management Platform

Objective:The aim of the study is to briefly elaborate the establishment of sleep monitoring management platform,so that we could provide a reference for the establishment of China's medical data platform,and to explore the char-acteristics of PSG data in adult male patients with obstructive sleep apnea-hypopnea syndrome(OSAHS)with different levels of obesity,different ages,and different severity levels by comparison,correlation analysis,and partial regression analysis between polysomnography(PSG)dataMethod:Design the regional modules,functional structure and implementation method of the platform through doctor-patient survey and demand analysis A total of 532 adult male patients meeting OSAHS diagnostic criteria were screened out and grouped according to the degree of obesity,age stage,and severity,and 14 indicators,including total sleep time(TST),sleep effi-ciency(SE),percentage of N1 sleep,percentage of N2 sleep,percentage of N3 sleep,percentage of rapid eye movement(REM)sleep,microarousal index(MI),the mean peripheral oxygen saturation(MSpO2),the lowest peripheral oxygen saturation(LSpO2),the ratio of time spent below 90%oxygen saturation(Ts90%),oxygen desaturation index(ODI),apnea-hy-popnea index(AHI),age and BMI,were statistically analyzed.Result:1.This design selects the browser/server(B/S)communication model,front end using Javascript programming language and Layui framework,backend using JAVA programming language and SSM framework,Mysql database,and Nginx Web server to build the platform.The platform in-cludes modules such as system management,user management,hospitali-zation management,consultation management,consultation management,remote monitoring,CPAP treatment,homepage,and WeChat public plat-form.2.Among 532 adult male OSAHS patients,the median values of N1%,N2%,N3%,and REM%were 29.6,38.6,10.2,and 4.4,respectively.3.Differences in AHI,MSpO2,LSpO2,Ts90%and ODI were statisti-cally significant between groups with different levels of obesity;there was no statistically significant difference in age,TST,SE,N1%,N2%,N3%,REM%,MI between groups with different levels of obesity.Pairwise com-parisons showed that the AHI,Ts90%,and ODI of each group in the hyper-recombination group,the first-degree obesity group,and the second-degree obesity group increased sequentially,and the differences between any two groups were statistically significant;the MSpO2 and LSpO2 of each group of hyper-recombination,the first-degree obesity group and the second-degree obesity group decreased in turn,and the difference between any two pairs was statistically significant;the AHI,LSpO2 and ODI of normal body reorganization are only statistically different from those of the second-de-gree obesity group;the MSpO2 and Ts90%of normal body reorganization were only statistically different from those of the first degree obesity group and second degree obesity group;there were no statistically significant dif-ferences between the other groups4.Overall correlation analysis showed that:BMI was positively cor-related with AHI,Ts90%and ODI;BMI was negatively correlated with age,MSpO2 and LSpO2;the correlations between BMI and TST,SE,N1%,N2%,N3%,REM%,MI were not statistically significant.Correlation anal-ysis within the groups showed that BMI was positively correlated with AHI,Ts90%and ODI in the second-degree obesity group;BMI was negatively correlated with age,REM%,and MSpO2 in the second-degree obesity group;BMI was positively correlated with AHI,Ts90%and ODI in the first-degree obesity group;BMI was negatively correlated with MSpO2 and LSpO2 in the first-degree obesity group;the correlations in the remaining groups were not statistically significant.After adjusting for age and AHI,there was no change in the overall correlation between BMI and various indicators.After adjusting for age and AHI,the correlation between BMI and age,MSpO2,Ts90%,ODI in the second-degree obesity group disap-peared,and the correlation between BMI and MSpO2,LSpO2,Ts90%in the first-degree obesity group disappeared.5.The differences in BMI,AHI,MSpO2,Ts90%and ODI of different age groups were statistically significant;the differences in TST,SE,N1%,N2%,N3%,REM%,MI and LSpO2 of different age groups were not sta-tistically significant.Pairwise comparisons showed that the AHI and ODI of the youth group,middle-aged group,and elderly group decreased se-quentially,and the difference between the any two groups was statistically significant;the BMI and Ts90%of the elderly group were lower than those of the young group,and the differences were statistically significant;the MSpO2 of the elderly group is higher than that of the youth group,the dif-ference is statistically significant;the differences between the remaining groups were not statistically significant.6.The overall correlation analysis shows that age is positively corre-lated with MSpO2 and LSpO2;age is negatively correlated with BMI,AHI,N3%,Ts90%and ODI;the correlations between age and TST,SE,N1%,N2%,REM%,MI were not statistically significant.The correlation analy-sis within the groups showed that the age of the young group was nega-tively correlated with N3%;the age of the middle-aged group was nega-tively correlated with N2%;the correlations within the remaining groups were not statistically significant.After adjusting for BMI and AHI,the overall correlation between age and Ts90%disappeared,and the positive correlation between age and MSpO2 and LSpO2 became a negative correlation.After adjusting for BMI and AHI,the correlation between age and N2%in the middle-aged group disappeared,and a positive correlation between age and N2%in the youth group appeared7.The differences in BMI,MSpO2,LSpO2,Ts90%,and ODI of dif-ferent severity groups were statistically significant,while the differences in age,TST,SE,N1%,N2%,N3%,REM%,and MI of different severity groups were not statistically significant.Pairwise comparisons showed that the LSpO2 of the mild OSAHS group,the moderate OSAHS group,and the severe OSAHS group decreased sequentially,and the difference between the any two pairs was statistically significant;Ts90%of the mild OSAHS group,moderate OSAHS group,and severe OSAHS group increased se-quentially,and the difference between the any two groups was statistically significant;BMI and ODI of the severe OSAHS group were higher than those of the mild OSAHS group,and the differences were statistically sig-nificant;the MSpO2 of the severe OSAHS group was higher than that of the mild OSAHS group,and the difference was statistically significant;BMI and ODI of the severe OSAHS group were higher than those of the moderate OSAHS group,the differences were statistically significant;the MSpO2 of the severe OSAHS group was higher than that of the moderate OSAHS group,and the difference was statistically significant;the differ-ences between the remaining groups were not statistically significant8.The overall correlation analysis showed that:AHI was positively correlated with BMI,TST,SE,N2%,Ts90%and ODI;AHI was negatively correlated with age,N1%,REM%,MSpO2 and LSpO2;the correlations of AHI with N3%and MI were not statistically significant.Correlation anal-ysis within the groups showed that AHI was positively correlated with BMI,TST,SE,N2%,Ts90%,and ODI in the severe OSAHS group;AHI was negatively correlated with age,N1%,MSpO2,and LSpO2 in the severe OSAHS group;AHI was positively correlated with Ts90%and ODI in the moderate OSAHS group;AHI was negatively correlated with MSpO2 and LSpO2 in the moderate OSAHS group;AHI was positively correlated with Ts90%and ODI in the mild OSAHS group;AHI was negatively correlated with LSpO2 in the mild OSAHS group;the correlations in the remaining groups were not statistically significant.After adjusting for age and BMI,the overall correlation between AHI and REM%disappeared.After adjust-ing for age and BMI,the negative correlation between AHI and MI in the severe OSAHS group appeared,and the negative correlation between AHI and LSpO2 in the moderate OSAHS group disappeared.Conclusion:1.The online operation of this platform has functions such as medical information storage management,doctor-patient communication,infor-mation release,and knowledge push.And it improves the retrieval effi-ciency of medical information,enriches the way of doctor-patient interac-tion,and is beneficial to clinical follow-up and scientific research.However,due to the current limited resources,the functions still need to be improved.2.Adult male patients with OSAHS have disturbances in sleep struc-ture,characterized by an increase in the percentage of N1 sleep,a decrease in the percentage of N2 sleep,and a decrease or absence of the percentage of REM sleep.3.In the second-degree obese adult male patients with OSAHS,the decrease in the percentage of REM sleep is related to the increase of BMI.4.Age is an important factor affecting the percentage of N3 sleep of adult male OSAHS patients,and the percentage of N3 sleep decreases with age.Before and after BMI correction,age was negatively correlated with the severity of the disease in adult male OSAHS patients.The severity of disease in elderly patients was less than that in young and middle-aged pa-tients.5.Higher BMI,age,and AHI can cause the deterioration of the blood oxygen status of adult male OSAHS patients,of which AHI plays a leading role,followed by BMI,and the effect of age is weaker.Among adult male OSAHS patients,ODI and AHI have a very high positive correlation.And ODI can be used as an important reference index to judge the severity of OSAHS.