1.Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module.
Yihao DU ; Mengyu SUN ; Jingjin LI ; Xiaoran WANG ; Tianfu CAO
Journal of Biomedical Engineering 2025;42(1):90-95
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions .
Neural Networks, Computer
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Humans
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Hand Strength/physiology*
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Support Vector Machine
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Muscle Strength/physiology*
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Hand/physiology*
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Convolutional Neural Networks
2.Multicenter study on the effect of early screening skills training for autism spectrum disorders in primary care hospitals in Chengdu
Wenxu YANG ; Jiao LE ; Lan ZHANG ; Ying ZHANG ; Ping YANG ; Chunxia ZHAO ; Chunhua DU ; Junni HE ; Yanmei CAO ; Jia SHANG ; Li LI ; Yan LIU ; Shenglan WU ; Xia LI ; Xiujin CHEN ; Hai LAN ; Hua LI ; Xiang KONG ; Hengli LI ; Defang MI ; Jie ZHAO ; Yang NIE ; Jinxiu GAO ; Ling LI
Sichuan Mental Health 2022;35(4):337-342
ObjectiveTo investigate effect of conducting training of autism spectrum disorder (ASD) early screening skill on improving the ability to early identify ASD of medical staffs in primary care hospitals. MethodsIn September 2021, the training of ASD early screening skills was carried out for medical staffs from 20 primary care hospitals in Chengdu. After training, the training effect was evaluated. The numbers of referrals from primary care hospitals to superior hospitals, confirmed ASD as well as their average diagnostic age of children with ASD before and after training were used as evaluation indicators. ResultsAfter training, the number of children with suspected ASD referred by primary care hospitals was more than that before training [(16.65±11.60) vs. (3.40±2.23), t=5.431, P<0.01], the number of children diagnosed with ASD was more than that before training[(6.85±4.93) vs. (2.45±1.67), t=4.171, P<0.01], and the differences were statistically significant. As for the diagnosed age of ASD children, after training, the average age was lower than that before training [(34.95±11.67) vs. (42.2±14.64), t=-2.553, P=0.019]. ConclusionTraining of ASD early screening skills for medical staffs in primary care hospitals may help to improve their ability to early screening ASD children.
3.Predictive value of cumulative body mass index on new-onset cholelithiasis
Tong LIU ; Yiming WANG ; Tianfu SI ; Wanchao WANG ; Liying CAO ; Siqing LIU
Chinese Journal of Digestive Surgery 2017;16(2):188-194
Objective To investigate the predictive value of cumulative body mass index (cumBMI) on new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 31 794 subjects who participated health examination at the Kailuan Hospital,Kailuan Linxi Hospital,Kailuan Zhaogezhuang Hospital,Kailuan Tangjiazhuang Hospital,Kailuan Fan'gezhuang Hospital,Kailuan Lyujiatuo Hospital,Kailuan Jinggezhuang Hospital,Kailuan Linnancang Hospital,Kailuan Qianjiaying Hospital,Kailuan Majiagou Hospital and Kailuan Branch Hospital in 2006,2008,2010,2012 and 2014 were collected.All the subjects were allocated into 4 groups according to squartiles of cumBMI:7 949 with cumBMI< 140.81 kg/m2 ×year in the Q1 group,7 946 with 140.81 kg/m2×year≤ cumBMI< 159.69 kg/m2 ×year in the Q2 group,7 949 with 159.69 kg/m2×year≤cumBMI< 180.49 kg/m2 ×year in the Q3 group and 7 950 with cumBMI ≥ 180.49 kg/m2×year in the Q4 group.All the subjects received respectively the five health examinations in 2006,2008,2010,2012 and 2014 at the same place.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.Observation indicators:(1) incidence of cholelithiasis in the 4 groups;(2) risk factors analysis affecting newonset cholelithiasis:sex,age,cumBMl,BMI,drinking,smoking,physical exercise,hypertension,diabetes,C-reactive protein (CRP),triglyceride (TG) and total cholesterol (TC).Measurement data with normal distribution were represented as-x±s and comparisons among groups were analyzed using the one-way ANOVA.Pairwise comparison and homogeneity of variance were done using the LSD test.Heterogeneity of variance was done using the Dunnett's T3 test.Measurement data with skewed distribution were described as M (Q) and comparisons among groups were analyzed using the nonparametric test.Count data were analyzed by the chi-square test.The incidence of cholelithiasis in the 4 groups were calculated by the Kaplan-Meier method and comparisons of incidence were done by the Log-rank test.The univariate analysis and multivariate analysis were done using the COX regression model.Results (1) Incidence of cholelithiasis in the 4 groups:31 794 subjects were observed for (2.1 ± 0.4) years,and 236 had new-onset cholelithiasis with an incidence of 7.42‰.Incidences of cholelithiasis in the Q1,Q2,Q3 and Q4 groups were respectively 4.03‰,7.17‰,7.93‰ and 10.57‰,with a statistically significant difference among the 4 groups (x2 =72.39,P<0.05).(2) Risk factors analysis affecting new-onset cholelithiasis:results of univariate analysis showed that sex,age,cumBMI,BMI,hypertension and CRP were independent risk factors affecting new-onset cholelithiasis of subjects [HR =1.61,1.75,1.64,1.36,1.39,1.39,95% confidence interval (CI):1.23-2.10,1.49-2.05,1.45-1.86,1.21-1.53,1.07-1.79,1.18-1.62,P<0.05].Results of multivariate analysis showed that female,age between 50 years and 60 years,age≥60 years,140.81 kg/m2×year ≤cumBMI <159.69 kg/m2×year,159.69 kg/m2×year≤cumBMI< 180.49 kg/m2 ×year,cumBMI ≥ 180.49 kg/m2 × year were independent risk factors affecting new-onset cholelithiasis of subjects (HR=1.59,1.78,2.33,2.04,2.42,3.66,95%CI:1.21-2.09,1.31-2.44,1.63-3.34,1.29-3.24,1.47-3.95,2.15-6.25,P<0.05).Conclusion Female,advanced age and increasing cumBMI are independent risk factors affecting new-onset cholelithiasis,and the incidence of cholelithiasis rises as cumBMI increases.
4.Efficacy and safety of drospirenone-ethinylestradiol on contraception in healthy Chinese women: a multicenter randomized controlled trial
Guangsheng FAN ; Meilu BIAN ; Linan CHENG ; Xiaoming CAO ; Zirong HUANG ; Ziyan HAN ; Xiaoping JING ; Jian LI ; Shuying WU ; Chengliang XIONG ; Zhengai XIONG ; Tianfu YUE
Chinese Journal of Obstetrics and Gynecology 2009;44(1):38-44
Objective To evaluate the contraception efficacy, mode of bleeding, side effects and other positive effects of drospirenone-ethinylestradiol (Yasmin) in healthy Chinese women. Methods This was a multicenter, randomized, control study of 768 healthy Chinese women who consulted about contraception. The subjects were randomized into Yasmin group (30 μg ethinylestradiol plus 3 mg drospirenone, 573 cases) or desogestrel group (30 μg ethinylestradiol plus 150 μg desogestrel, 195 cases) with the ratio of 3: 1. Each individual was treated for 13 cycles. Further visits were required at cycle 4, cycle 7, cycle 10 and cycle 13 of treatment. Weight, height, body mass index were evaluated at each visit. The menstrual distress questionnaire (MDQ) was given to the women at baseline, visit 3 (cycle 7) and visit 5 (after cycle 13). Results The values of basal features were similar between two groups (P> 0.05). The Pearl index (method failure) of Yasmin was 0. 208/hundred women year which was lower than that of desogestrel (0. 601/hundred women year). The mode of bleeding was similar between two groups after trial without showing any significant difference. According to MDQ subscale, the improvement of water retention and increasing appetite during inter-menstrual period and water retention and general well-being during menstrual period in the Yasmin group ( -0. 297, -0. 057, 0. 033, 0. 150 respectively) was more obvious than that in the desogestrel group ( - 0. 108, 0. 023, 0. 231, - 0. 023 respectively) with a significant difference (P < 0. 05 ). Some other values which improved in beth two groups, especially the improvement of breast tenderness and pain and skin abnormality in Yasmin group (18.0%, 89/494; 12. 6%, 62/494) was more distinct than that in desogestrel group (11.3%, 19/168; 5.4%, 9/168). The mean weight increased in desogestrel group (0. 57 kg) while it decreased in Yasmin group ( -0. 28 kg) with a significant difference (P < 0. 01 ). Conclusions Both Yasmin and desogestrel have good efficacy on contraception and similar modes of menstrual bleeding. Yasmin is better than desogestrel in terms of weight control and premenstrual syndrome of oral contraceptive.

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