OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation. METHODS: This study was performed based on data from 84 patients with atrial fibrillation, 25 patients with atrial fibrillation, and 18 subjects without obvious arrhythmia collected from the publicly available datasets LTAFDB, AFDB, and NSRDB, respectively. A lightweight attention network based on depthwise separable convolution and fusion of channel-spatial information, namely DSC-AttNet, was proposed. Depthwise separable convolution was introduced to replace standard convolution and reduce model parameters and computational complexity to realize high efficiency and light weight of the model. The multilayer hybrid attention mechanism was embedded to compute the attentional weights of the channels and spatial information at different scales to improve the feature expression ability of the model. Ten-fold cross-validation was performed on LTAFDB, and external independent testing was conducted on AFDB and NSRDB datasets. RESULTS: DSC-AttNet achieved a ten-fold average accuracy of 97.33% and a precision of 97.30% on the test set, both of which outperformed the other 4 comparison models as well as the 3 classical models. The accuracy of the model on the external test set reached 92.78%, better than those of the 3 classical models. The number of parameters of DSC-AttNet was 1.01M, and the computational volume was 27.19G, both smaller than the 3 classical models. CONCLUSIONS This proposed method has a smaller complexity, achieves better classification performance, and has a better generalization ability for atrial fibrillation classification.
Atrial Fibrillation/diagnosis* ; Humans ; Electrocardiography ; Deep Learning ; Wearable Electronic Devices ; Neural Networks, Computer

OBJECTIVES: We propose a myocardial infarction (MI) detection and localization model for improving the diagnostic accuracy for MI to provide assistance to clinical decision-making. METHODS: The proposed model was constructed based on multi-scale field residual blocks fusion modified channel attention (MSF-RB-MCA). The model utilizes lead II electrocardiogram (ECG) signals to detect and localize MI, and extracts different levels of feature information through the multi-scale field residual block. A modified channel attention for automatic adjustment of the feature weights was introduced to enhance the model's ability to focus on the MI region, thereby improving the accuracy of MI detection and localization. RESULTS: A 5-fold cross-validation test of the model was performed using the publicly available Physikalisch-Technische Bundesanstalt (PTB) dataset. For MI detection, the model achieved an accuracy of 99.96% on the test set with a specificity of 99.84% and a sensitivity of 99.99%. For MI localization, the accuracy, specificity and sensitivity were 99.81%, 99.98% and 99.65%, respectively. The performances of the model for MI detection and localization were superior to those of other comparison models. CONCLUSIONS The proposed MSF-RB-MCA model shows excellent performance in AI detection and localization based on lead II ECG signals, demonstrating its great potential for application in wearable devices.
Myocardial Infarction/diagnosis* ; Humans ; Electrocardiography/methods* ; Signal Processing, Computer-Assisted ; Algorithms ; Sensitivity and Specificity

Objective To explore the impact of Metformin(Met)on the balance of type 17 helper T cells(Th17)/regulatory T cells(Treg)in DM rats by regulating the C-C motif chemokine ligand 2(CCL2)-C-C motif chemokine receptor 2(CCR2)axis.Methods A total of 50 SD rats were randomly divided into normal control(NC)group,model(Mod)group,Met(100 mg/kg)group,Met+empty vector(Met+oe-NC)group,and Met+CCL2 overexpression(Met+oe-CCL2)group,with 10 rats in each group.The changes of FBG evaluated in each group,and the pathological changes of pancreatic islet tissue were assessed using hematoxylin-eosin(HE)staining followed by histological scoring.The ratio of Th17/Treg in peripheral blood was detected by flow cytometry.ELISA was used to measure the serum levels of IL-17,TNF-α,TGF-β and IL-10.Immunofluorescence was used to detect the proportion of Th17 and Treg in pancreatic tissue.RT-PCR and Western blot were used to detect the mRNA and protein expression of ROR-γt,forkhead box P3(FOXP3),CCL2 and CCR2 in pancreatic tissue.Results The islet structure was intact and the boundary was clear,and there was no pathological damage in the NC group.In the Mod group,the islet tissue exhibited significant pathological damage,characterized by disrupted architecture,reduced volume,and blurred boundaries with surrounding tissues.Additionally,the cells in the islet displayed marked disorganization and substantial loss.Compared with the Mod group,the pathological damage of the islet tissue was alleviated in the Met and Met+oe-NC group.Compared with the Met group,the pathological damage was aggravated in the Met+oe-CCL2 group.Compared with the NC group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein expression were higher(P<0.05),while TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were lower in the Mod group(P<0.05).Compared with the Mod group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein were lower(P<0.05),while TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were higher in the Met and Met+oe-NC groups(P<0.05).Compared with the Met group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein were higher(P<0.05),and TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were higher in the Met+oe-CCL2 group(P<0.05).Conclusions Metformin can promote Th17/Treg cell balance drift towards Treg direction by inhibiting the activation of CCL2-CCR2 signal axis,thereby preventing the occurrence and development of inflammatory reactions,alleviating pancreatic islet damage,and improving the glucose metabolism in DM rats.

To address the limitations of the existing automatic electrocardiogram(ECG)diagnosis models in learning long-term dependencies,an automatic 12-lead long-term ECG signal diagnosis model which combines bidirectional selective state space model(bidirectional mamba,BiMamba)with residual multi-scale receptive field block(RMSF)is proposed:(1)designing a multi-scale receptive field module with residual connections to realize more extensive feature extraction and fusion;(2)introducing BiMamba block to enhance the model's temporal modeling capability by employing both forward and backward temporal processing;(3)using the classifier to process features from BiMamba for accomplishing multi-label ECG classification.Five major diagnostic categories from the PTB-XL dataset are extracted and subjected to 5-fold cross-validation experiments.The experimental results from the comparative study show that BiMamba-RMSF achieves an average accuracy of 89.42%,an average AUC of 0.9356,and an average F1 score of 72.85%,outperforming the other 4 automatic ECG diagnosis models.Additionally,ablation study further validates the effectiveness of BiMamba block.It is demonstrated that the proposed model has a high precision in the multi-label classification for 12-lead long-term ECG signals.

To address the limitations of the existing automatic electrocardiogram(ECG)diagnosis models in learning long-term dependencies,an automatic 12-lead long-term ECG signal diagnosis model which combines bidirectional selective state space model(bidirectional mamba,BiMamba)with residual multi-scale receptive field block(RMSF)is proposed:(1)designing a multi-scale receptive field module with residual connections to realize more extensive feature extraction and fusion;(2)introducing BiMamba block to enhance the model's temporal modeling capability by employing both forward and backward temporal processing;(3)using the classifier to process features from BiMamba for accomplishing multi-label ECG classification.Five major diagnostic categories from the PTB-XL dataset are extracted and subjected to 5-fold cross-validation experiments.The experimental results from the comparative study show that BiMamba-RMSF achieves an average accuracy of 89.42%,an average AUC of 0.9356,and an average F1 score of 72.85%,outperforming the other 4 automatic ECG diagnosis models.Additionally,ablation study further validates the effectiveness of BiMamba block.It is demonstrated that the proposed model has a high precision in the multi-label classification for 12-lead long-term ECG signals.

Objective To explore the impact of Metformin(Met)on the balance of type 17 helper T cells(Th17)/regulatory T cells(Treg)in DM rats by regulating the C-C motif chemokine ligand 2(CCL2)-C-C motif chemokine receptor 2(CCR2)axis.Methods A total of 50 SD rats were randomly divided into normal control(NC)group,model(Mod)group,Met(100 mg/kg)group,Met+empty vector(Met+oe-NC)group,and Met+CCL2 overexpression(Met+oe-CCL2)group,with 10 rats in each group.The changes of FBG evaluated in each group,and the pathological changes of pancreatic islet tissue were assessed using hematoxylin-eosin(HE)staining followed by histological scoring.The ratio of Th17/Treg in peripheral blood was detected by flow cytometry.ELISA was used to measure the serum levels of IL-17,TNF-α,TGF-β and IL-10.Immunofluorescence was used to detect the proportion of Th17 and Treg in pancreatic tissue.RT-PCR and Western blot were used to detect the mRNA and protein expression of ROR-γt,forkhead box P3(FOXP3),CCL2 and CCR2 in pancreatic tissue.Results The islet structure was intact and the boundary was clear,and there was no pathological damage in the NC group.In the Mod group,the islet tissue exhibited significant pathological damage,characterized by disrupted architecture,reduced volume,and blurred boundaries with surrounding tissues.Additionally,the cells in the islet displayed marked disorganization and substantial loss.Compared with the Mod group,the pathological damage of the islet tissue was alleviated in the Met and Met+oe-NC group.Compared with the Met group,the pathological damage was aggravated in the Met+oe-CCL2 group.Compared with the NC group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein expression were higher(P<0.05),while TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were lower in the Mod group(P<0.05).Compared with the Mod group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein were lower(P<0.05),while TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were higher in the Met and Met+oe-NC groups(P<0.05).Compared with the Met group,the levels of FBG,Th17/Treg ratio,IL-17,TNF-α,Th17 infiltration rate,ROR-γt,CCL2,and CCR2 mRNA and protein were higher(P<0.05),and TGF-β,IL-10,Treg infiltration rate,FOXP3 mRNA and protein expression were higher in the Met+oe-CCL2 group(P<0.05).Conclusions Metformin can promote Th17/Treg cell balance drift towards Treg direction by inhibiting the activation of CCL2-CCR2 signal axis,thereby preventing the occurrence and development of inflammatory reactions,alleviating pancreatic islet damage,and improving the glucose metabolism in DM rats.

Objective:To observe the effect of a new type of endotracheal tube occluder,which can be finely tuned,combined with rehabilitation training on respiratory and speech function of patients with severe tracheotomy. Method:A total of 30 patients with severe tracheotomy were randomly divided into test group and control group,15 cases in each group of patients received severe clinical and rehabilitation treatment,including lung rehabilitation,swallowing and phonation training and exercise therapy.Patients in the test group wore adjust-able tracheal tube occluder during rehabilitation period.The rehabilitation treatment time of the two groups was twice a day for two consecutive weeks.After 2 weeks of treatment,clinical pulmonary infection score(CPIS),semi quantitative cough strength score(SCSS),maximum phonation time(MPT),volume and tracheal tube extubation rate were compared between the two groups. Result:After treatment,the CPIs score,SCSS score,MPT and maximum volume value of the two groups were significantly improved in both groups(P＜0.001).The SCSS score of the test group improved more than that of the control group(P＜0.05).The MPT and maximum volume of the test group were higher than those of the control group(P＜0.05).The extubation rate of the test group was higher than that of the control group. Conclusion:The adjustable tracheal tube occluder is safe and effective,and combining with rehabilitation therapy,has positive significance for improving the respiratory and speech function of patients with severe tra-cheotomy.

ObjectiveTo observe the early and mid-term clinical effect of occupational therapy on patients after total knee arthroplasty (TKA) during perioperative period. MethodsFrom July to August, 2018, 100 patients who underwent the first TKA in the First Affiliated Hospital of USTC were divided into control group (n = 50) and observation group (n = 50) according to the treatment plan. Both groups received routine preoperative rehabilitation education, surgical treatment and postoperative physical therapy, in addition, the observation group received perioperative occupational therapy. They were assessed with modified Barthel Index (MBI) and Instrumental Activities of Daily Living (IADL) before operation; one, two and three days after operation; on the day of discharge; one month, three months and six months after operation. ResultsOne day, two days, one month, three months and six months after operation, the scores of MBI were higher in the observation group than in the control group (t > 2.113, P < 0.05). One month, three months after operation, the scores of IADL were significantly higher in the observation group than in the control group (t > 5.125, P < 0.001). The postoperative hospitalization time was significantly shorter (t = -5.356, P < 0.001), and the total treatment cost was lower (t = -2.455, P < 0.05) in the observation group than in the control group. ConclusionOccupational therapy could effectively improve the early and mid-term activities of daily living of TKA patients and help them return to normal life earlier.

OBJECTIVE To evaluate the effectiveness， safety， economy， innovation， suitability and accessibility of recombinant Mycobacterium tuberculosis fusion protein （EC）， and to provide evidence for selecting skin detection methods for tuberculosis infection diagnosis and auxiliary diagnosis of tuberculosis. METHODS The effectiveness and safety of EC compared with purified protein derivative of tuberculin （TB-PPD） were analyzed by the method of systematic review. Cost minimization analysis， cost-effectiveness analysis and cost-utility analysis were used to evaluate the short-term economy of EC compared with TB-PPD， and cost-utility analysis was used to evaluate the long-term economy. The evaluation dimensions of innovation， suitability and accessibility were determined by systematic review and improved Delphi expert consultation， and the comprehensive score of EC and TB-PPD in each dimension were calculated by the weight of each indicator. RESULTS The scores of effectiveness， safety， economy， innovation and suitability of EC were all higher than those of TB-PPD. The affordability scores of the two drugs were consistent， while the availability score of EC was lower than those of TB-PPD. After considering dimensions and index weight， the scores of effectiveness， safety， economy， innovation， suitability， accessibility and the comprehensive score of EC were all higher than those of TB-PPD. CONCLUSIONS Compared with TB-PPD， EC performs better in all dimensions of effectiveness， safety， economy， innovation， suitability and accessibility. However， it is worth noting that EC should further improve its availability in the dimension of accessibility.

Objective:To document the blood indexes of middle-aged and elderly intracerebral hemorrhage (ICH) patients complicated with deep vein thrombosis (DVT).Methods:A retrospective analysis was conducted of 77 hospitalized ICH patients using venous color Doppler ultrasonography within 3 days of admission. According to the results, they were divided into a DVT group (18 cases) and a non-DVT group (59 cases). The blood routine, biochemistry, coagulation, and D-dimer examinations were conducted on the 2nd day after admission. T-tests and rank sum tests tested the significance of any differences between the groups in average white blood cell counts, neutrophil percentages, platelets, albumin, globulin, fasting blood glucose, urea nitrogen, creatinine, uric acid, electrolytes, fibrinogen or D-dimer.Results:The average levels of albumin, uric acid and calcium in the DVT group were significantly lower than in the non-DVT group. The average levels of fasting blood glucose and D-dimer were significantly higher.Conclusions:Decreased serum uric acid, calcium and albumin levels, together with increased fasting blood glucose and D-dimer are related to the occurrence of DVT in ICH patients. To reduce the risk of DVT it is important to maintain normal levels of serum uric acid, calcium and albumin and to limit D-dimer and fasting blood glucose.