Objective To observe the clinical efficacy of drilling and drainage combined with atorvastatin calcium tablets in treatment of chronic subdural hematoma (CSDH).Methods Totally,46 patients with CSDH,admitted to and received therapy in our hospital from January 2014 to January 2017,were selected for this research.These patients were divided into control group (n=16) and experimental group (n=30) according to therapeutic schemes.The patients from the control group underwent drilling and drainage.Besides that,the patients from the experimental group were given atorvastatin calcium tablets additionally,20 mg/d×2 months.Two months after that,the curative efficacy,hematoma volume before and after operation,pneumocephalus volume one week after operation,duration of tube drainage,length of hospital stay,China stroke scale (CSS) scores,activities of daily life-Barthel index scale (ADL-BI) and visual analog scale (VAS) score were compared between the patients from the two groups.Results Two months after treatment,patients from the experimental group had significantly decreased hematoma volume as compared with those from the control group (P＜0.05).The hematoma volume in both groups 2 months after treatment was significantly decreased as compared with that before treatment (P＜0.05).The pneumocephalus volume,indwelling time of drainage tube,and hospital stays in the experimental group were significantly shorter/lower than those in the control group (P＜0.05).The CSS scores and VAS scores in the experimental group 2 months after treatment were significantly lower than those in the control group (P＜0.05).The ADL-BI scores in the experimental group 2 months after treatment were significantly higher than those in the control group (P＜0.05).The ADL-BI scores in both groups 2 months after treatment was significantly increased as compared with those before treatment (P＜0.05).Conclusion As compared with simple use of drilling and drainage,drilling and drainage combined with atorvastatin calcium tablets can help hematoma absorption,decrease incidence of pneumocephalu,and improve prognosis effectively.

Objective To investigate the clinical efficacy of Guiyuan Shujin Mixture in the treatment of patients with lumbar disc herniation(LDH)and to explore its possible therapeutic mechanism.Methods Sixty-eight patients with LDH of qi stagnation and blood stasis syndrome were randomly divided into trial group and control group,with 34 cases in each group.The control group was treated with Celecoxib Tablets and Mecobalamin Tablets orally,and the trial group was treated with Guiyuan Shujin Mixture on the basis of treatment for the control group.The course of treatment lasted for 4 weeks.Before and after treatment,the two groups were observed in the changes of the Visual Analogue Scale(VAS)score of low back pain and lower limb pain,Oswestry Disability Index(ODI)score,modified Japanese Orthopedic Association(JOA)score,serum levels of inflammatory factors of tumor necrosis factor α(TNF-α),interleukin 6(IL-6)and interleukin 1β(IL-1β),and serum nuclear factor-κB p65(NF-κB p65)level.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)During the trial,one case fell off in the trial group and 3 cases fell off in the control group.Eventually,33 cases in the trial group and 31 cases in the control group were included for the efficacy statistics.(2)After 4 weeks of treatment,the total effective rate of the trial group was 96.97%(32/33),and that of the control group was 87.10%(27/31).The intergroup comparison(tested by rank sum test)showed that the curative effect of the trial group was significantly superior to that of the control group(P＜0.05).(3)After treatment,the VAS score and ODI score of low back pain and lower limb pain in the two groups were lower than those before treatment(P＜0.05 or P＜0.01),and the modified JOA score was higher than that before treatment(P＜0.01).The decrease of VAS score and ODI score of low back pain and lower limb pain and the increase of modified JOA score in the trial group were significantly superior to those in the control group(P＜0.05 or P＜0.01).(4)After treatment,the serum levels of inflammation-related indicators of TNF-α,IL-6,IL-1β and NF-κB p65 in the two groups were lower than those before treatment(P＜0.01),and the decrease in the trial group was significantly superior to that in the control group(P＜0.01).(5)During the treatment,the incidence of adverse events in the trial group was 2.94%(1/34)and that in the control group was 8.82%(3/34),and the difference between the two groups was not significant(P＞0.05).Conclusion Guiyuan Shujin Mixture exerts certain effect in the treatment of LDH patients with qi stagnation and blood stasis syndrome.It can effectively relieve the pain symptoms of patients,improve the lumbar function of patients,and reduce the expression levels of serum inflammatory factors and NF-κB p65.The mechanism may be related with the decrease of the level of inflammatory factors and with the inhibition of the activation of NF-κB signaling pathway.

Objective    To explore the application of Tsetlin Machine (TM) in heart beat classification. Methods    TM was used to classify the normal beats, premature ventricular contraction (PVC) and supraventricular premature beats (SPB) in the 2020 data set of China Physiological Signal Challenge. This data set consisted of the single-lead electro-cardiogram data of 10 patients with arrhythmia. One patient with atrial fibrillation was excluded, and finally data of the other 9 patients were included in this study. The classification results were then analyzed. Results    The classification results showed that the average recognition accuracy of TM was 84.3%, and the basis of classification could be shown by the bit pattern interpretation diagram. Conclusion    TM can explain the classification results when classifying heart beats. The reasonable interpretation of classification results can increase the reliability of the model and facilitate people's review and understanding.

Objective To propose a heart sound segmentation method based on multi-feature fusion network. Methods Data were obtained from the CinC/PhysioNet 2016 Challenge dataset (a total of 3 153 recordings from 764 patients, about 91.93% of whom were male, with an average age of 30.36 years). Firstly the features were extracted in time domain and time-frequency domain respectively, and reduced redundant features by feature dimensionality reduction. Then, we selected optimal features separately from the two feature spaces that performed best through feature selection. Next, the multi-feature fusion was completed through multi-scale dilated convolution, cooperative fusion, and channel attention mechanism. Finally, the fused features were fed into a bidirectional gated recurrent unit (BiGRU) network to heart sound segmentation results. Results The proposed method achieved precision, recall and F1 score of 96.70%, 96.99%, and 96.84% respectively. Conclusion The multi-feature fusion network proposed in this study has better heart sound segmentation performance, which can provide high-accuracy heart sound segmentation technology support for the design of automatic analysis of heart diseases based on heart sounds.