Markerless Gait Analysis System Based on Deep Learning Fusion algorithm / 医用生物力学

Objective Taking three-dimensional (3D) motion capture system (MoCap) as the gold standard, a deep learning fusion model based on bi-lateral long short-term memory (BiLSTM) recurrent neural network and linear regression algorithm was developed to reduce system error of the Kinect sensor in lower limb kinematics measurement. Methods Ten healthy male college students were recruited for gait analysis. The 3D coordinates of the reflective markers and the lower limb joint centers were simultaneously collected using the MoCap system and the Kinect V2 sensor, respectively. The joint angles of lower limbs were calculated using the Cleveland clinic kinematic model and the Kinect kinematic model, respectively. The dataset was constructed using the MoCap system as the target and the angles via the Kinect system as the input. A BiLSTM network and a linear regression model for all lower limb angles were developed to obtain the refined angles. A leave-one subject-out cross-validation method was employed to study the performance of the models. The coefficient of multiple correlations (CMC) and root mean square error (RMSE) were used to investigate the similarity and the mean deviation between the joint angle waveforms via the MoCap and the Kinect system. ResultsIn comparison with the linear regression algorithm, the BiLSTM had better performance in the aspect of dealing highly nonlinear regression problems, especially for hip flexion/extension, hip adduction/abduction, and ankle dorsi/plantar flexion angles. The deep learning refined model significantly reduced the system error of Kinect. The mean RMSEs for all joint angles were mainly smaller than 10°, and the RMSEs of the hip joint were smaller than 5°. The joint angle waveforms presented very good similarity with the golden standard. The CMCs of joint angles were greater than 0.7 except for hip rotation angle. Conclusions The markerless gait analysis system based on deep learning fusion model developed in this study can accurately assess lower limb kinematics, joint mobility, walking functions, and has good prospect to be applied in clinical and home rehabilitation.

MicroRNAs in idiopathic pulmonary fibrosis: involvement in pathogenesis and potential use in diagnosis and therapeutics

MicroRNAs (miRNAs) are a class of phylogenetically conserved, non-coding short RNAs, 19-22 nt in length which suppress protein expression through base-pairing with the 3'-untranslated region of target mRNAs. miRNAs have been found to participate in cell proliferation, differentiation and apoptosis. Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and high lethality fibrotic lung disease for which currently there is no effective treatment. Some miRNAs have been reported to be involved in the pathogenesis of pulmonary fibrosis. In this review, we discuss the role of miRNAs in the pathogenesis, diagnosis and treatment of IPF.

Explanation of Evidence-based Guidelines of Clinical Practice with Acupuncture and Moxibustion: Adult Bronchial Asthma / 中国针灸

The development and compilation of Evidence-based Guidelines of Clinical Practice with Acupuncture and Moxibustion: Adult Bronchial Asthma are introduced from three aspects, named the guideline methodology, the guideline structure and the guideline content. Based on the acupuncture-moxibustion practice and clinical research, the evidence-based medicine method is adopted. During the development and compilation of the guideline, the characteristics and advantages of acupuncture and moxibustion are specially considered in the treatment of this disease; the latest optimum evidences at home and abroad, experts' experience and patients' value are closely integrated with each other. Additionally, the worldwide accepted assessments of evidence quality and the recommendation (GRADE system) are combined with the clinical evidences of the ancient and modern famous acupuncture-moxibustion experts, and the clinical research evidences are with the experts' consensus to the large extent. The purpose of the guideline is to provide the maximal guidance to the clinical physicians.

Risk factors for surgical site infection following ankle joint and Pilon frac-ture surgery / 中国感染控制杂志

Objective To evaluate the risk factors for surgical site infection(SSI)following ankle joint and Pilon fracture surgery,and provide theoretical basis for the prevention of postoperative SSI.Methods Clinical data of pa-tients who underwent ankle joint and Pilon fracture surgery in a hospital between June 2005 to May 2013 were sur-veyed retrospectively,risk factors for SSI were analyzed.Results Among 356 patients with ankle joint and Pilon fracture surgery,22 developed 25 times of SSI,SSI rate was 6.18%,case infection rate was 7.02%.Univariate analysis showed that elderly patients (> 60 years old),history of diabetes,pre-operative calcaneal traction, perioperative irrational antimicrobial use,incision type,and long duration of operation (>3 h)were risk factors for SSI following ankle joint and Pilon fracture surgery (all P <0.05).Multivariate logistic regression analysis showed that the independent risk factors for SSI were incision type(OR,3.58[95%CI ,3.24-12.07]),history of diabetes (OR,2.75[95%CI ,1 .54-4.75]),duration of operation(OR,2.15[95%CI ,1 .32-3.64]),and patients age(OR, 1 .68[95%CI ,1 .25-2.37]).Conclusion Occurrence of SSI following ankle joint and Pilon fracture surgery is related to multiple factors,corresponding prevention and control measures should be taken to reduce the occurrence of SSI.