This paper realized a portable brain-computer interface (BCI) system tailored for smart healthcare. Through the decoding of steady-state visual evoked potential (SSVEP), this system can rapidly and accurately identify the intentions of subjects, thereby meeting the practical demands of daily medical scenarios. Firstly, an SSVEP stimulation interface and an electroencephalogram (EEG) signal acquisition software were designed, which enable the system to execute multi-target and multi-task operations while also incorporating data visualization functionality. Secondly, the EEG signals recorded from the occipital region were decomposed into eight sub-frequency bands using filter bank canonical correlation analysis (FBCCA). Subsequently, the similarity between each sub-band signal and the reference signals was computed to achieve efficient SSVEP decoding. Finally, 15 subjects were recruited to participate in the online evaluation of the system. The experimental results indicated that in real-world scenarios, the system achieved an average accuracy of 85.19% in identifying the intentions of the subjects, and an information transfer rate (ITR) of 37.52 bit/min. This system was awarded third prize in the Visual BCI Innovation Application Development competition at the 2024 World Robot Contest, validating its effectiveness. In conclusion, this study has developed a portable, multifunctional SSVEP online decoding system, providing an effective approach for human-computer interaction in smart healthcare.
Brain-Computer Interfaces ; Humans ; Evoked Potentials, Visual/physiology* ; Electroencephalography ; Signal Processing, Computer-Assisted ; Software ; Adult ; Male

Objective To investigate and analyze the association of serum levels of myelin basic protein(MBP)and S100 calcium-binding protein B(S100-B)with early neurological deterioration in patients with cerebral infarction after interventional therapy.Methods A total of 258 patients with cerebral infarction,admitted to our hospital between July 2021 and July 2024,were enrolled.The National Institutes of Health Stroke Scale(NIHSS)was used to evaluate the neurological function status of patients.Patients who died or whose NIHSS score increased by 4 points or more after 24 hours of interventional therapy were included in the early neurological deterioration group,while the remaining patients were included in the non-deterioration group.The levels of MBP and S100-B in all patients were measured,and the relationship between changes in MBP and S100-B levels and the risk of neurological deterioration after interventional therapy was analyzed.Results The levels of serum MBP and S100-B of patients with cerebral infarction were markedly higher in the early neurological deterioration group compared with those in the non-deterioration group(t=9.062[95%CI:2.348-3.663]and 7.708[95%CI:0.221-0.375],P<0.001).Spearman correlation analysis showed that the levels of serum MBP and S100-B in the deterioration group were positively correlated with NIHSS score increase(r=0.323[95%CI:0.095-0.542]and 0.292[95%CI:0.066-0.488],P<0.05).Stratified regression analysis showed that serum MBP(OR=1.996,95%CI:1.607-2.478)and S100-B(OR=1.005,95%CI:1.003-1.007)were risk factors affecting the early deterioration of neurological function in patients with cerebral infarction(P<0.05),even after adjusting for confounding factors.In addition,admission NIHSS score(OR=1.224,95%CI:1.142-1.310),hypertension(OR=2.542,95%CI:1.139-5.669)and hyperlipidemia(OR=2.618,95%CI:1.101-6.228)were also risk factors,and an interaction effect between the admission NIHSS score and MBP(OR=1.081,95%CI:1.034-1.130)was observed.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)of serum MBP and S100-B in evaluating early neurological deterioration were 0.822(95%CI:0.764-0.879)and 0.788(95%CI:0.724-0.853),respectively.Conclusion Elevated levels of serum MBP and S100-B in patients with cerebral infarction after interventional therapy are associated with an increased risk of early neurological deterioration and show potential value for assessing the risk of neurological deterioration.

Objective:To explore the impact of metabolic syndrome in conjunction with hyperuricemia on the risk of new-onset cardiovascular disease.Methods:This study was a prospective cohort study. From June 2006 to October 2007, employees of Kailuan Group in Tangshan City, Hebei Province were selected as the research subjects. Participants were divided into four groups based on the presence or absence of metabolic syndrome and hyperuricemia. The groups include the normal group, pure hyperuricemia group, pure metabolic syndrome group, and the metabolic syndrome combined with hyperuricemia group. Four groups of participants were followed up, the primary endpoint was the occurrence of a first-ever cardiovascular disease event, including stroke and myocardial infarction. The cumulative incidence rates of cardiovascular disease in different groups during the continuous follow-up period were calculated using the Kaplan-Meier method, and the differences in cumulative incidence rates among groups were compared using the log-rank test. Multivariate Cox regression analysis was used to analyze the effect of hyperuricemia combined with metabolic syndrome on the risk of cardiovascular disease. The likelihood ratio test was used to analyze whether there was a multiplicative interaction and additive interaction between hyperuricemia and metabolic syndrome.Results:A total of 82 780 individuals were included, aged (51.5±12.6) years, and 68 622 (82.90%) were males, with a median follow-up of 14.97 years. Kaplan-Meier survival curve analysis showed that the cumulative incidence of cardiovascular disease was the highest in the metabolic syndrome combined with hyperuricemia group (log-rank P<0.001). Multivariate Cox regression analysis indicated that after adjusting for various confounding factors, the HR value and 95% CI of cardiovascular disease in the metabolic syndrome combined with hyperuricemia group were 1.24 (1.12-1.38) compared with the normal group, which were higher than those in the pure hyperuricemia group and the pure metabolic syndrome group alone. The effect of metabolic syndrome combined with hyperuricemia on the risk of cardiovascular disease demonstrated an additive effect (relative excess risk of interaction: 0.18(0.11-0.25), attributable proportion due to interaction: 0.14(0.09-0.19)). Conclusions:The combination of hyperuricemia and metabolic syndrome is an independent risk factor for cardiovascular disease. Compared to pure metabolic syndrome or hyperuricemia alone, the impact of metabolic syndrome combined with hyperuricemia on cardiovascular disease is more significant.

Objective To explore the predictive value of maximum standardized uptake value(SUVmax)and mean standardized uptake value(SUVmean)parameters in 18F-prostate specific membrane antigen-1007 positron emission tomography/computed tomography(18F-PSMA-1007 PET/CT)for the diagnosis and disease progression of prostate cancer(PCa).Methods Eighty patients with suspected PCa who underwent 18F-PSMA-1007 PET/CT examination in the hospital were selected and divided into the PCa group(49 cases)and the non-PCa group(31 cases)according to the biopsy pathological results.The 18F-PSMA-1007 PET/CT parameters were collected in the two groups of patients at admission,including SUVmax and SUVmean.The prostate specific antigen(PSA)and prostate cancer histological grade(GLEASON)score were also collected in patients of the PCa group at admission and 3 months after admission.The diagnostic efficiency of 18F-PSMA-1007 PET/CT parameters on PCa was analyzed by receiver operating characteristic(ROC)curve.The correlation between 18F-PSMA-1007 PET/CT parameters of patients in the PCa group at admission and PSA,GLEASON score was analyzed by Pearson method.Results The SUVmax and SUVmean in the PCa group were higher than those in the non-PCa group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of SUVmax and SUVmean were 0.887 and 0.843 respectively,the sensitivities were 80.65%and 83.87%,and the specificities were 87.76%and 73.47%respectively.The PSA and GLEASON score were lower 3 months after admission than those at admission in the PCa group(P＜0.05).Pearson correlation analysis showed that the SUVmax and SUVmean of patients in the PCa group at admission were positively correlated with PSA and GLEASON score at admission and 3 months after admission(P＜0.05).Conclusion SUVmax and SUVmean parameters of 18F-PSMA-1007 PET/CT have high predictive value for the diagnosis and disease progression of PCa.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective:To investigate the distribution of iodine in drinking water in Inner Mongolia Autonomous Region, and provide a basis for delineation of different types of water iodine areas and the adoption of targeted prevention and control measures, as well as scientific adjustment of intervention strategies.Methods:Using cross-sectional survey method, from June to December in 2017, a survey on the distribution of water iodine was conducted in the entire autonomous region on a township (street, Sumu, abbreviated as township) basis in accordance with the requirements of the "National Survey Plan for Iodine Content in Drinking Water". For townships with water iodine level greater than 10 μg/L found in the survey, the survey was conducted on an administrative village (community, Gacha, abbreviated as administrative village) basis. The water iodine of regions with water iodine level greater than 100 μg/L found in the survey were reviewed in 2018 - 2019. Arsenic-cerium catalytic spectrophotometry was used to test water iodine.Results:A total of 1 009 townships of 103 counties (cities, districts) were surveyed on a township by township basis, with a median water iodine of 6.7 μg/L. Among them, there were 707 townships with water iodine < 10 μg/L, accounting for 70.1%. There were 251 townships with water iodine of 10 - < 40 μg/L, accounting for 24.9%. There were 44 townships with water iodine of 40 - 100 μg/L, accounting for 4.4%. There were 7 townships with water iodine > 100 μg/L, accounting for 0.7%. A total of 3 326 administrative village of 298 townships were surveyed based on administrative villages, among which, 791 villages had water iodine < 10 μg/L, accounting for 23.8%. There were 2 031 villages with water iodine of 10 - < 40 μg/L, accounting for 61.1%. There were 468 villages with water iodine of 40 - 100 μg/L, accounting for 14.1%. There were 36 administrative villages with water iodine > 100 μg/L, accounting for 1.1%. After review, 96 administrative villages in 12 townships of 4 league cities had water iodine > 100 μg/L.Conclusions:Most areas in Inner Mongolia Autonomous Region are iodine deficiency areas, and there are localized areas with high iodine levels due to water sources. Different iodine supplementation or iodine reduction measures should be taken for areas with different water iodine levels.

Objective:To screen the risk factors for non-complete procedural success of transvenous lead extraction(TLE),and to establish a prediction model based on the results and evaluate its predictive efficacy.Methods:A total of 1 029 patients who underwent TLE in Peking University People's Hospital from January 2014 to December 2020 were enrolled and divided into training set(n=720)and validation set(n=309)using the random number method.There were no statistically significant differences among the variables in the training set and the validation set.The training set was divided into the complete procedural success(CPS)group(n=664)and the non-CPS group(n=56).Univariate analysis was employed to screen the relevant indicators of non-CPS,followed by binary logistic regression analysis to identify the independent risk factors of non-CPS.Subsequently,a predictive model and nomogram were constructed.The receiver operating characteristic(ROC)curve analysis was applied to evaluate the ability of the model to distinguish non-CPS from TLE patients in the training set and validation set.The Hosmer-Lemeshow goodness-of-fit test was used to assess the consistency between the predicted risk and the actual risk of the model.Results:Univariate analysis showed that the relevant variables with P<0.1 including the age at the first implantation of the lead,the number of leads extracted,the oldest dwell time of lead extracted,the presence of abandoned leads,non-manual traction for lead extracted,the number of extracted leads>3,bilateral lead implantation,and the indications for TLE.The binary logistic regression analysis revealed that the presence of abandoned leads(OR=2.252,95%CI:1.111-4.564,P=0.024),the oldest dwell time of the extracted leads(OR=1.009,95%CI:1.005-1.012,P<0.001),and the number of extracted leads>3(OR=3.177,95%CI:1.306-7.733,P=0.011)were independent risk factors for non-CPS of TLE.ROC curve analysis revealed that the area under the ROC curve(AUC)of the training set was 0.80(95%CI:0.75-0.85,P<0.001).The AUC of the validation set was 0.81(95%CI:0.72-0.90,P<0.001).The Hosmer-Lemeshow goodness-of-fit test indicated that the P values of both the training set(P=0.089)and the validation set(P=0.136)were greater than 0.05.Conclusions:The presence of abandoned leads,the oldest dwell time of lead extracted,and the number of extracted leads>3 are independent risk factors for non-CPS in patients undergoing TLE.The nomogram model based on the above factors has satisfactory predictive ability.

Objective To explore the predictive value of maximum standardized uptake value(SUVmax)and mean standardized uptake value(SUVmean)parameters in 18F-prostate specific membrane antigen-1007 positron emission tomography/computed tomography(18F-PSMA-1007 PET/CT)for the diagnosis and disease progression of prostate cancer(PCa).Methods Eighty patients with suspected PCa who underwent 18F-PSMA-1007 PET/CT examination in the hospital were selected and divided into the PCa group(49 cases)and the non-PCa group(31 cases)according to the biopsy pathological results.The 18F-PSMA-1007 PET/CT parameters were collected in the two groups of patients at admission,including SUVmax and SUVmean.The prostate specific antigen(PSA)and prostate cancer histological grade(GLEASON)score were also collected in patients of the PCa group at admission and 3 months after admission.The diagnostic efficiency of 18F-PSMA-1007 PET/CT parameters on PCa was analyzed by receiver operating characteristic(ROC)curve.The correlation between 18F-PSMA-1007 PET/CT parameters of patients in the PCa group at admission and PSA,GLEASON score was analyzed by Pearson method.Results The SUVmax and SUVmean in the PCa group were higher than those in the non-PCa group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of SUVmax and SUVmean were 0.887 and 0.843 respectively,the sensitivities were 80.65%and 83.87%,and the specificities were 87.76%and 73.47%respectively.The PSA and GLEASON score were lower 3 months after admission than those at admission in the PCa group(P＜0.05).Pearson correlation analysis showed that the SUVmax and SUVmean of patients in the PCa group at admission were positively correlated with PSA and GLEASON score at admission and 3 months after admission(P＜0.05).Conclusion SUVmax and SUVmean parameters of 18F-PSMA-1007 PET/CT have high predictive value for the diagnosis and disease progression of PCa.

Objective:To investigate the distribution of iodine in drinking water in Inner Mongolia Autonomous Region, and provide a basis for delineation of different types of water iodine areas and the adoption of targeted prevention and control measures, as well as scientific adjustment of intervention strategies.Methods:Using cross-sectional survey method, from June to December in 2017, a survey on the distribution of water iodine was conducted in the entire autonomous region on a township (street, Sumu, abbreviated as township) basis in accordance with the requirements of the "National Survey Plan for Iodine Content in Drinking Water". For townships with water iodine level greater than 10 μg/L found in the survey, the survey was conducted on an administrative village (community, Gacha, abbreviated as administrative village) basis. The water iodine of regions with water iodine level greater than 100 μg/L found in the survey were reviewed in 2018 - 2019. Arsenic-cerium catalytic spectrophotometry was used to test water iodine.Results:A total of 1 009 townships of 103 counties (cities, districts) were surveyed on a township by township basis, with a median water iodine of 6.7 μg/L. Among them, there were 707 townships with water iodine < 10 μg/L, accounting for 70.1%. There were 251 townships with water iodine of 10 - < 40 μg/L, accounting for 24.9%. There were 44 townships with water iodine of 40 - 100 μg/L, accounting for 4.4%. There were 7 townships with water iodine > 100 μg/L, accounting for 0.7%. A total of 3 326 administrative village of 298 townships were surveyed based on administrative villages, among which, 791 villages had water iodine < 10 μg/L, accounting for 23.8%. There were 2 031 villages with water iodine of 10 - < 40 μg/L, accounting for 61.1%. There were 468 villages with water iodine of 40 - 100 μg/L, accounting for 14.1%. There were 36 administrative villages with water iodine > 100 μg/L, accounting for 1.1%. After review, 96 administrative villages in 12 townships of 4 league cities had water iodine > 100 μg/L.Conclusions:Most areas in Inner Mongolia Autonomous Region are iodine deficiency areas, and there are localized areas with high iodine levels due to water sources. Different iodine supplementation or iodine reduction measures should be taken for areas with different water iodine levels.

Objective:To explore the impact of metabolic syndrome in conjunction with hyperuricemia on the risk of new-onset cardiovascular disease.Methods:This study was a prospective cohort study. From June 2006 to October 2007, employees of Kailuan Group in Tangshan City, Hebei Province were selected as the research subjects. Participants were divided into four groups based on the presence or absence of metabolic syndrome and hyperuricemia. The groups include the normal group, pure hyperuricemia group, pure metabolic syndrome group, and the metabolic syndrome combined with hyperuricemia group. Four groups of participants were followed up, the primary endpoint was the occurrence of a first-ever cardiovascular disease event, including stroke and myocardial infarction. The cumulative incidence rates of cardiovascular disease in different groups during the continuous follow-up period were calculated using the Kaplan-Meier method, and the differences in cumulative incidence rates among groups were compared using the log-rank test. Multivariate Cox regression analysis was used to analyze the effect of hyperuricemia combined with metabolic syndrome on the risk of cardiovascular disease. The likelihood ratio test was used to analyze whether there was a multiplicative interaction and additive interaction between hyperuricemia and metabolic syndrome.Results:A total of 82 780 individuals were included, aged (51.5±12.6) years, and 68 622 (82.90%) were males, with a median follow-up of 14.97 years. Kaplan-Meier survival curve analysis showed that the cumulative incidence of cardiovascular disease was the highest in the metabolic syndrome combined with hyperuricemia group (log-rank P<0.001). Multivariate Cox regression analysis indicated that after adjusting for various confounding factors, the HR value and 95% CI of cardiovascular disease in the metabolic syndrome combined with hyperuricemia group were 1.24 (1.12-1.38) compared with the normal group, which were higher than those in the pure hyperuricemia group and the pure metabolic syndrome group alone. The effect of metabolic syndrome combined with hyperuricemia on the risk of cardiovascular disease demonstrated an additive effect (relative excess risk of interaction: 0.18(0.11-0.25), attributable proportion due to interaction: 0.14(0.09-0.19)). Conclusions:The combination of hyperuricemia and metabolic syndrome is an independent risk factor for cardiovascular disease. Compared to pure metabolic syndrome or hyperuricemia alone, the impact of metabolic syndrome combined with hyperuricemia on cardiovascular disease is more significant.