ObjectiveTo review the current status and progress of locking plate for the treatment of distal femoral comminuted fractures.MethodsThe related literature was extensively reviewed to summarize the current status and progress in the treatment of distal femoral comminuted fracture with locking plate from four aspects: the current treatment situation, the shortcomings of locking plate and countermeasures, the progress of locking technology, locking plate and digital orthopedic technology.ResultsTreatment of distal femoral comminuted fractures is challenging. Locking plates, the most commonly used fixation for distal femoral comminuted fractures, still face a high rate of treatment failure. Double plates can improve the mechanical stability of comminuted fractures, but specific quantitative criteria are still lacking for when to choose double plates for fixation. The far cortial locking screw has shown good application value in improving the micro-movement and promoting the growth of callus. The biphasic plating is a development of the traditional locking plate, but needs further clinical examination. As an auxiliary means, digital orthopedic technology shows a good application prospect.ConclusionThe inherent defect of locking plate is a factor that affects the prognosis of distal femoral comminuted fracture. The optimization of locking technology combined with digital orthopedic technology is expected to reduce the failure rate of treatment of distal femoral comminuted fracture.
Robot rehabilitation has been a primary therapy method for the urgent rehabilitation demands of paralyzed patients after a stroke. The parameters in rehabilitation training such as the range of the training, which should be adjustable according to each participant’s functional ability, are the key factors influencing the effectiveness of rehabilitation therapy. Therapists design rehabilitation projects based on the semiquantitative functional assessment scales and their experience. But these therapies based on therapists’ experience cannot be implemented in robot rehabilitation therapy. This paper modeled the global human-robot by Simulink in order to analyze the relationship between the parameters in robot rehabilitation therapy and the patients’ movement functional abilities. We compared the shoulder and elbow angles calculated by simulation with the angles recorded by motion capture system while the healthy subjects completed the simulated action. Results showed there was a remarkable correlation between the simulation data and the experiment data, which verified the validity of the human-robot global Simulink model. Besides, the relationship between the circle radius in the drawing tasks in robot rehabilitation training and the active movement degrees of shoulder as well as elbow was also matched by a linear, which also had a remarkable fitting coefficient. The matched linear can be a quantitative reference for the robot rehabilitation training parameters.
Existing emotion recognition research is typically limited to static laboratory settings and has not fully handle the changes in emotional states in dynamic scenarios. To address this problem, this paper proposes a method for dynamic continuous emotion recognition based on electroencephalography (EEG) and eye movement signals. Firstly, an experimental paradigm was designed to cover six dynamic emotion transition scenarios including happy to calm, calm to happy, sad to calm, calm to sad, nervous to calm, and calm to nervous. EEG and eye movement data were collected simultaneously from 20 subjects to fill the gap in current multimodal dynamic continuous emotion datasets. In the valence-arousal two-dimensional space, emotion ratings for stimulus videos were performed every five seconds on a scale of 1 to 9, and dynamic continuous emotion labels were normalized. Subsequently, frequency band features were extracted from the preprocessed EEG and eye movement data. A cascade feature fusion approach was used to effectively combine EEG and eye movement features, generating an information-rich multimodal feature vector. This feature vector was input into four regression models including support vector regression with radial basis function kernel, decision tree, random forest, and K-nearest neighbors, to develop the dynamic continuous emotion recognition model. The results showed that the proposed method achieved the lowest mean square error for valence and arousal across the six dynamic continuous emotions. This approach can accurately recognize various emotion transitions in dynamic situations, offering higher accuracy and robustness compared to using either EEG or eye movement signals alone, making it well-suited for practical applications.
The surgical installation accuracy of the components in unicompartmental knee arthroplasty (UKA) is an important factor affecting the joint function and the implant life. Taking the ratio of the medial-lateral position of the femoral component relative to the tibial insert (a/A) as a parameter, and considering nine installation conditions of the femoral component, this study established the musculoskeletal multibody dynamics models of UKA to simulate the patients’ walking gait, and investigated the influences of the medial-lateral installation positions of the femoral component in UKA on the contact force, joint motion and ligament force of the knee joint. The results showed that, with the increase of a/A ratio, the medial contact force of the UKA implant was decreased and the lateral contact force of the cartilage was increased; the varus rotation, external rotation and posterior translation of the knee joint were increased; and the anterior cruciate ligament force, posterior cruciate ligament force and medial collateral ligament force were decreased. The medial-lateral installation positions of the femoral component in UKA had little effect on knee flexion-extension movement and lateral collateral ligament force. When the a/A ratio was less than or equalled to 0.375, the femoral component collided with the tibia. In order to prevent the overload on the medial implant and lateral cartilage, the excessive ligament force, and the collision between the femoral component and the tibia, it is suggested that the a/A ratio should be controlled within the range of 0.427−0.688 when the femoral component is installed in UKA. This study provides a reference for the accurate installation of the femoral component in UKA.
When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this problem, we propose an algorithm based on the improved whale algorithm to optimize support vector machines to enhance the performance of eye movement data classification. According to the characteristics of eye movement data, this study first extracts 57 features related to fixation and saccade, then uses the ReliefF algorithm for feature selection. To address the problems of low convergence accuracy and easy falling into local minima of the whale algorithm, we introduce inertia weights to balance local search and global search to accelerate the convergence speed of the algorithm and also use the differential variation strategy to increase individual diversity to jump out of local optimum. In this paper, experiments are conducted on eight test functions, and the results show that the improved whale algorithm has the best convergence accuracy and convergence speed. Finally, this paper applies the optimized support vector machine model of the improved whale algorithm to the task of classifying eye movement data in autism, and the experimental results on the public dataset show that the accuracy of the eye movement data classification of this paper is greatly improved compared with that of the traditional support vector machine method. Compared with the standard whale algorithm and other optimization algorithms, the optimized model proposed in this paper has higher recognition accuracy and provides a new idea and method for eye movement pattern recognition. In the future, eye movement data can be obtained by combining it with eye trackers to assist in medical diagnosis.
For the questions of deeply researching abnormal neuromuscular coupling and better evaluating motor function of stroke patients with motor dysfunction, an effective intermuscular coherence analysis method and index are studied to explore the neuromuscular oscillation and the pathomechanism of motor dysfunction, based on which an assessment standard of muscle function is established. Firstly, the contrastive analysis about the intermuscular coherence of antagonistic muscle of affected and intact upper limbs of stroke patients was conducted. Secondly, a significant indicator of Fisher's Z-transformed coherence significant indicator was defined to quantitatively describe the coupling differences in certain functional frequency domain between surface electromyogram (sEMG) of affected and intact sides. Further more, the relationship between intermuscular coherence and motor task was studied. Through the analysis of intermuscular coherence during elbow flexion-extension of affected and intact sides, we found that the intermuscular coherence was associated with motor task and the stroke patients exhibited significantly lower beta-band intermuscular coherence in performing the task with their affected upper limbs. More conclusion can be drawn that beta-band intermuscular coherence has been found concerned with Fugle-Meyer scale, which indicates that beta-band intermuscular coherence could be an index assisting in evaluating motor function of patients.
ObjectiveTo explore the nature of micromovement and the biomechanical staging of fracture healing.MethodsThrough literature review and theoretical analysis, the difference in micromovement research was taken as the breakthrough point to try to provide a new understanding of the role of micromovement and the mechanical working mode in the process of fracture healing.ResultsThe process of fracture healing is the process of callus generation and connection. The micromovement is the key to start the growth of callus, and the total amount of callus should be matched with the size of the fracture space. The strain at the fracture end is the key to determine the callus connection. The strain that can be tolerated by different tissues in the fracture healing process will limit the micromovement. According to this, the fracture healing process can be divided into the initiation period, perfusion period, contradiction period, connection period, and physiological period, i.e., the biomechanical staging of fracture healing.ConclusionBiomechanical staging of fracture healing incorporates important mechanical parameters affecting fracture healing and introduces the concepts of time and space, which helps to understand the role of biomechanics, and its significance needs further clinical test and exploration.
ObjectiveTo explore the clinical, genetic and prognostic features of early infantile epileptic encephalopathy caused by DNM1 gene pathogenic variations.MethodsClinical phenotype, genotype and prognosis of 3 individuals with de novo variants in DNM1 gene were analyzed retrospectively. Through using “Dynamin-1” or “DNM1” as key words to search literature at database of China National Knowledge Infrastructure, Wanfang, PubMed and OMIM. Genotype-phenotype correlations were analyzed by analysis of variance (ANOVA).ResultAmong the 3 patients, 1 female and 2 males. 2 cases with epileptic spasm and 1 case with focal clonic seizure or secondary generalized tonic-clonic seizure were manifested with onset age from 2 to 17 months. De novo variants at NM_004408.4: c.415 G>A(P. Gly 139Arg) in 2 inviduals and NM_004408.4: c.545 C>A(P. Ala 182Asp)in 1 invidual of DNM1 gene were identified by gene testing. After follow-up at age of 2~3 years, all patients were presented with hypotonia, severe intellectual disability, non-verbal, non-ambulatory, drug-resistant epilepsy and feeding difficulties. 36 cases with pathogenic DNM1 variants were reported by far, totally 39 cases were included. Of the 39 patients, hypotonia were found to be independent of the locus of genetic variants, while those inviduals with variants in the GTPase and middle domains almost presented severe or profound intellectual disability and epilepsy. 31 patients diagnosed with epilepsy and complete clinical data were further analyzed, epileptic spasm was the most common types of seizure. Absent seizure was significantly more common in those patients with variants in the GTPase domains (P=0.02), compared to those patients with variants in the middle domains. No statistical differences were found in gender, onset age, other types of seizure and drug treatment response between variants in the GTPase and middle domains.ConclusionHypotonia, early onset epilepsy, severe intellectual and movement disability were the common features in patients with DMN1 related encephalopathy. Epileptic spasm was the most common types of seizure, no significant differences were found in the phenotype between the GTPase and middle domains expect for absent seizure. Our patients also presented with feeding difficulties.
The aim of this study is to investigate the search time regulation of objectives and eye movement behavior characteristics in the multi-objective visual search. The experimental task was accomplished with computer programming and presented characters on a 24 inch computer display. The subjects were asked to search three targets among the characters. Three target characters in the same group were of high similarity degree while those in different groups of target characters and distraction characters were in different similarity degrees. We recorded the search time and eye movement data through the whole experiment. It could be seen from the eye movement data that the quantity of fixation points was large when the target characters and distraction characters were similar. There were three kinds of visual search patterns for the subjects including parallel search, serial search, and parallel-serial search. In addition, the last pattern had the best search performance among the three search patterns, that is, the subjects who used parallel-serial search pattern spent shorter time finding the target. The order that the targets presented were able to affect the search performance significantly; and the similarity degree between target characters and distraction characters could also affect the search performance.
ObjectiveTo observe the effect of ultra early joint movement onthe rehabilitation of shoulder joint function in patients with breast cancer who underwent axillary lymph node dissection (ALND).MethodsA total of 100 patients with breast cancer who underwent ALND between August 2018 and December 2019 in Zhongnan Hospital of Wuhan University were randomly divided into the early movement group (n=50) and the ultra early movement group (n=50). Both groups received early rehabilitation intervention as recommended by the guidelines. Patients in the early movement group started the shoulder joint movement training on the 7th day after surgery, and patients in the ultra early movement group started the shoulder joint movement training on the 3rd day after surgery, 3 times a day, 5 days a week, for 4 weeks. The changes in pain and drainage volume 3 days, 1 week, and 2 weeks after surgery and the changes of shoulder joint range of motion 1 week, 2 weeks , and 3 weeks after surgery were compared between the two groups, changes in shoulder function and quality of life 1 week and 3, 6, and 12 weeks after surgery were compared by the Constant-Murley and the Medical Outcomes Study 36-item Short-form Health Survey (SF-36) scales, respectively.ResultsThree days, 1 week, and 2 weeks after surgery, no significant difference in the pain scores or drainage volumes was observed between the two groups (P>0.05). One week, 2 weeks, and 3 weeks after operation, the motion ranges of shoulder abduction, flexion, and external rotation in the ultra early movement group were significantly better than those in the early movement group (P<0.05), and the motion range of shoulder internal rotation 1 week after operation in the ultra early movement group was significantly better than that in the early movement group (P<0.05). One week and 3, 6, and 12 weeks after operation, the Constant-Murley scores in the ultra early movement group were 25.9±4.3, 55.4±5.3, 64.6±4.5, and 73.3±4.6, respectively, which were better than those in the early movement group (21.3±3.8, 48.9±7.8, 57.3±4.7, and 70.7±3.0, respectively; P<0.05). No significant difference in the SF-36 scale scores was observed between the two groups (P>0.05).ConclusionsUltra early joint movement can significantly improve the motion range and functions of shoulder joint in patients with breast cancer who underwent ALND. What’s more, ultra early joint movement does not increase the early drainage volume or pain, and has no significant impact on the later quality of life. It is worthy of clinical application.