【Abstract】 Objective The auto-control micro-motion intramedullary locking nail (AMLN) is designed, to reducethe incidence of delayed union and non-union of femoral shaft fractures fixed by interlocking intramedullary nails, and toobserve the cl inical effect of self-design AMLN in the treatment of femoral shaft fractures. Methods The distal and promixalnails were connected by the micro-motion locking structure, which could cause 1.0-1.5 mm axial micro-motion between fracture gaps. It could produce physical stimulus and conduction between fracture gaps in the course of fracture union. From December 2003 to May 2006, 32 cases of femoral shaft fractures were treated with AMLN, including 21 males and 11 females with the average age of 31.2 years (ranging from 20 years to 43 years). The trauma resulted from fall wounds in 3 cases, crash injuries in 1 case and car accidents in 28 cases. Twenty-nine cases were fresh fractures in different parts of the femoral shaft with transverse, obl ique, spiral and comminuted fractures of type I, II, III and IV. Three cases were old non-union fractures. The fresh fractures were treated by closed AMLN fixation, while the old fractures were treated by open AMLN nails after routine implantation of self bone. Results All the 32 cases were followed up for the average time of 11.5 months (rangeing from 8 months to 22 months). The X-ray films showed the fractures were healed 4.0 to 7.5 months after the operation, with the mean time of 5.1 months, and no break of the nail happened. One nail mildly bent in the comminuted fracture, and 2 patients felt sl ightly unwell at the needl ing point. According to the Klemm criterion for function, 26 cases were excellent, 5 good, 1 fair, and the choiceness rate was 96.88%. Conclusion With a suitable design, AMLN is easy to perform and helpful to quicken fracture union, and it is effective to treat femoral shaft fractures.
Vascular perfusion distribution in fibroids contrast-enhanced ultrasound images provides useful pathological and physiological information, because the extraction of the vascular perfusion area can be helpful to quantitative evaluation of uterine fibroids blood supply. The pixel gray scale in vascular perfusion area of fibroids contrast-enhanced ultrasound image sequences is different from that in other regions, and, based on this, we proposed a method of extracting vascular perfusion area of fibroids. Firstly, we denoised the image sequence, and then we used Brox optical flow method to estimate motion of two adjacent frames, based on the results of the displacement field for motion correction. Finally, we extracted vascular perfusion region from the surrounding background based on the differences in gray scale for the magnitude of the rich blood supply area and lack of blood supply area in ultrasound images sequence. The experimental results showed that the algorithm could accurately extract the vascular perfusion area, reach the precision of identification of clinical perfusion area, and only small amount of calculation was needed and the process was fairly simple.
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.
Real-time free breathing cardiac cine imaging is a reproducible method with shorter acquisition time and without breath-hold for cardiac magnetic resonance imaging. However, the detection of end-diastole and end-systole frames of real-time free breathing cardiac cine imaging for left ventricle function analysis is commonly completed by visual identification, which is time-consuming and laborious. In order to save processing time, we propose a method for semi-automatic identification of end-diastole and end-systole frames. The method fits respiratory motion signal and acquires the expiration phase, end-diastole and end-systole frames by cross correlation coefficient. The procedure successfully worked on ten healthy volunteers and validated by the analysis of left ventricle function compared to the standard breath-hold steady-state free precession cardiac cine imaging without any significant statistical differences. The results demonstrated that the present method could correctly detect end-diastole and end-systole frames. In the future, this technique may be used for rapid left ventricle function analysis in clinic.
Objective To investigate the effects of children’s crawling-promotion-training-robot on gross motor function and cognitive function in children with global developmental delay (GDD). Methods A total of 40 children with GDD admitted to the Department of Rehabilitation Medicine, Children’s Hospital of Nanjing Medical University were selected as the research subjects. By envelope method, the children were randomly and equally divided into experimental group and control group, with 20 cases in each group. The experimental group received children’s crawling-promotion-training-robot combined with conventional rehabilitation therapy, while the control group received manual crawling training combined with conventional rehabilitation therapy. Before and after treatment, the scores of Gross Motor Function Measure Scale-88 (GMFM-88) and Gesell Developmental Scale (GDS) were respectively used to evaluate gross motor function and cognitive function. Results There was no significant difference in gender (χ2=0.100, P=0.752) and age (t=0.053, P=0.962) between the two groups. Before treatment, there was no significant difference in GMFM-88 and GDS scores between the two groups (P>0.05). After treatment, there were statistically significant differences in GMFM-88 and GDS scores between the two groups (P<0.05). The comparison within the group showed that there were statistically significant differences in GMFM-88 and GDS scores between the two groups before and after treatment. Conclusion Children’s crawling-promotion-training-robot is more effective than manual crawling training in improving gross motor function and cognitive function in children with GDD.
Focused on the world-wide issue of improving the accuracy of emotion recognition, this paper proposes an electroencephalogram (EEG) signal feature extraction algorithm based on wavelet packet energy entropy and auto-regressive (AR) model. The auto-regressive process can be approached to EEG signal as much as possible, and provide a wealth of spectral information with few parameters. The wavelet packet entropy reflects the spectral energy distribution of the signal in each frequency band. Combination of them gives a better reflect of the energy characteristics of EEG signals. Feature extraction and fusion are implemented based on kernel principal component analysis. Six emotional states from a public multimodal database for emotion analysis using physiological signals (DEAP) are recognized. The results show that the recognition accuracy of the proposed algorithm is more than 90%, and the highest recognition accuracy is 99.33%. It indicates that this algorithm can extract the feature of EEG emotion well, and it is a kind of effective emotion feature extraction algorithm, providing support to emotion recognition.
【Abstract】 Objective To investigate the protective effect of early motion on articular cartilage after joint allograft by performing a controlled trial between different post-operation strategies after joint allograft in an animal model. Methods Twenty hemi-knee joints were harvested from 10 6-month-old New Zealand white rabbits (male or female, weighing 2.5-3.0 kg); 10 hemi-knee joints by deep frozen treatment (donors) were transplanted to unilateral knee joints (recipients) of 10 6-month-old Chinchilla rabbits (male or female, weighing 2.5-3.0 kg), which were divided into early motion group (n=5) and sustained fixation group (n=5); and 10 hemi-knee joints were used as blank control (n=5) and frozen control (n=5). The articular cartilage of allogenic joints was detected by X-ray film, gross, and histology at 6 weeks after operation. Results Gross observation: no obvious limitation of joint movements was observed in early motion group, but obvious limitation in sustained fixation group. X-ray films: the bone ends between donor and recipient healed well with good paraposition and alignment on the operation day and 2 weeks after operation; at 6 weeks, angulation deformity was observed in early motion group of 3 rabbits, and paraposition and alignment were satisfactory in sustained fixation group. Histological observation: HE staining showed that the chondrocytes had normal quantity and morphology with few nuclear fragmentation and karyolysis in early motion group, but the quantity of chondrocytes sharply decreased with dissolved nuclei and numerous fibrous tissues in the cartilage matrix in sustained fixation group. The cell survival rate of the early motion group (49.66% ± 2.15%) was significantly higher than that of the sustained fixation group (20.68% ± 1.24%) (P lt; 0.05). Scanning electron microscopy observation: nuclear membrane was intact with chromatin condensation and edema of mitochondria and rough surfaced endoplasmic reticulum in early motion group, and that the membrane of chondrocyte vanished with blurring border between chondrocyte and matrix, rupture of nuclear membrane and the disappearance of chromatin and organelles could be found in sustained fixation group. Conclusion Early motion has protective effect on articular cartilage after joint allograft, but cannot completely prevent degeneration of the allogenic articular cartilage.
In the process of positron emission tomography (PET) data acquiring, respiratory motion reduces the quality of PET imaging. In this paper, we present a correction method using three level grids B-spline elastic method to correct denoised and reorganized sinograms for respiratory motion correction. Using GATE simulates NCAT respiratory motion model to generate raw data which are used in experiment, the experiment results showed a significantly improved respiratory image with higher quality of PET, and the motion blur and structural information were fixed. The results proved the method of this paper would be effective for the elastic registration.
Objective To explore the association between behavioral, emotional problems and life events among adolescents, and to determine which factors of life events correlate most highly with the behavioral, emotional problems. Method A total of 1 325 adolescents were investigated with Youth Self-Report (YSR) of Achenbach’s behavior checklist and Adolescent Self-Rating Life Events Checklist (ASLEC), and the data were analyzed with canonical correlation analysis. Results Canonical correlation was statistically significant. The correlation coefficients of the first pair of canonical variables in the male and female group were 0.631 3 and 0.621 1, respectively, and the cumulative proportion of the first two pairs of canonical variables was above 0.95. In the first pair of canonical variables, the loadings of anxious/depressed, interpersonal sensitivity and study pressure were higher, while in the second pair, withdrawal and punishment were the most important factors. Conclusions The effects of life events on emotional problems mainly contributed to interpersonal sensitivity and study pressure.
Objective To compare the effects of cutting and retaining the pes anserinus tendon on effectiveness following tibial plateau fracture. MethodsA clinical data of 40 patients with tibial plateau fracture treated with open reduction and internal fixation with plate via posteromedial approach between January 2015 and January 2020 was retrospectively analyzed, including 18 patients retained the pes anserinus tendon (study group) and 22 patients cut the pes anserinus tendon (control group) during operation. There was no significant difference in gender, age, side of affected knee, cause of injury, Schatzker classification, time from injury to operation, and associated ligament injury between the two groups (P>0.05). The operation time, intraoperative blood loss, hospital stay, anatomic reduction rate, incidence of complications, fracture healing time, knee flexion and extension range of motion at 2 weeks and 12 months, and knee extension range of motion at 3 months after operation were recorded and compared between the two groups. The visual analogue scale (VAS) score was used to evaluate the early postoperative pain improvement at 1, 3, and 14 days after operation and hospital for special surgery (HSS) score was used to evaluate the improvement of knee function at 3, 6, and 12 months after operation. ResultsThe patients in both groups were followed up 12-15 months with an average of 12.8 months. There was no significant difference in operation time, intraoperative blood loss, and fracture healing time between the two groups (P>0.05). The hospital stay in the control group was significantly longer than that in the study group (t=8.339, P=0.000). There was no significant difference in the anatomic reduction rate (90.9% vs. 83.3%) between the control group and the study group (χ2=0.058, P=0.810). There were 1 case of proximal tibial osteomyelitis, 3 cases of skin necrosis, 3 cases of traumatic arthritis, and 2 cases of lower deep venous thrombosis after operation in the control group, and 1 case of metaphyseal nonunion, 2 cases of traumatic arthritis, and 1 case of lower deep venous thrombosis in the study group, showing no significant difference in the incidence of complications (40.9% vs. 22.2%) between the two groups (χ2=1.576, P=0.209). In the study group, knee flexion and extension range of motion at 2 weeks and 12 months and knee extension range of motion at 3 months after operation were significantly better than those of the control group (P<0.05). VAS scores and HSS scores in both groups improved with time after operation (P<0.05), in addition, the HSS score and VAS score of the study group were significantly better than those of the control group (P<0.05). ConclusionCompared with traditional pes anserinus tendon cutting group, pes anserinus tendon retaining group can significantly reduce postoperative short-term pain, improve postoperative knee range of motion and knee function within 1 year after operation.