Objective: To assess emotional fluctuations, physical and mental health status, and indicators closely related to red blood cells, such as RIO kinase 3 (Riok3), MAX interactor 1 (Mxi1), and microRNA 191 (miR191), in participants with different levels of red blood cells. Methods: Participants who underwent physical examinations at Dongfang Hospital between April and October 2019 were divided into healthy, blood deficiency, and anemia groups (30 individuals in the healthy and blood deficiency group respectively, and 13 in the anemia group). The physical and mental conditions of the participants were evaluated through questionnaires, and emotional fluctuations were assessed through an emotion-inducing experiment, in which participants watched video segments designed to induce specific emotions. Relative expression levels of miR191, Riok3, and Mxi1 from venous blood samples were also determined. Results: The main psychological factors identified in the anemia and blood deficiency groups were obsessive-compulsive symptoms, depression, anxiety, and other negative emotions. Relative gene expression levels indicated that miR191 was upregulated and Riok3 and Mxi1 were downregulated in both the blood deficiency and anemia groups. Regarding the emotional score of disgust on video stage, the main effect was significant (F = 335.58, P < .001), which showed that watching the three videos caused participants to have a dominant emotion, and there is a difference on group (F = 5.35, P = .01), with higher disgust scores in the anemia and blood deficiency groups. The symptoms of blood deficiency and anemia, such as weakness in limbs were significantly negatively correlated with Riok3 and Mxi1 expression (r = −0.38 and −0.31 respectively), but was significantly positively correlated with miR191 expression (r = 0.29). Conclusion We determined that a close relationship exists between red blood cell levels and emotional status. Our findings suggest that individuals with anemia and blood deficiency are more likely to experience psychological problems and negative emotions, particularly disgust. We also demonstrate that emotional regulation is related to mir191-Riok3-Mxi1 pathway activity, identifying these pathway components are potential targets for genetic therapies in combination with psychological therapy.

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

Objectives:To evaluate the clinical value of the Paris system for reporting urinary cytology (TPS) in the diagnosis of urothelial carcinoma (UC).Methods:A total of 1 744 cytological diagnostic records (from 751 cases) were collected retrospectively. All specimens were voided urines and histopathology as the gold standard. The sensitivity and specificity of urinary cytological diagnosis of UC and risk of high grade malignant (ROHM) in each diagnostic category were compared.Results:There were 360 cases with histopathology. The percentage of negative for high-grade urothelial carcinoma (NHGUC) was 30.1% (226/751), atypical urothelial cells (AUC) was 29.8% (224/751), suspicious for high-grade urothelial carcinoma (SHGUC) was 16.8% (126/751), high grade urothelial carcinoma (HGUC) was 21.2% (159/751), and non-urothelial malignancy (NUM) was 2.1% (16/751). The histpathologic ROHM corresponding to each cytological diagnosis category were 27.3% for NHGUC, 32.7% for AUC, 74.7% for SHGUC, 96.6% for HGUC and 100.0% for NUM, respectively. ROHM of SHGUC was significantly higher than that of AUC group, and the difference between the two groups was statistically significant ( P＜0.001). ROHM of HGUC group was significantly higher than that of SHGUC group, and the difference was statistically significant ( P＜0.001). With SHGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 76.7% (165/215) and 85.7% (18/21), and with HGUC as the cut-off value, the sensitivity and specificity of cytological diagnosis of HGUC were 53.0% (114/215) and 100.0% (21/21), respectively. Conclusions:Urine cytology has high sensitivity and specificity in the diagnosis of HGUC. The malignant risk of TPS varies with different diagnosis category. The high malignant risk population in cancer hospital leads to the relatively high malignant proportion and ROHM in each diagnosis category. Urinary cytology TPS reporting system is helpful to clinical management and has good clinical application value.

Aiming at the human-computer interaction problem during the movement of the rehabilitation exoskeleton robot, this paper proposes an adaptive human-computer interaction control method based on real-time monitoring of human muscle state. Considering the efficiency of patient health monitoring and rehabilitation training, a new fatigue assessment algorithm was proposed. The method fully combined the human neuromuscular model, and used the relationship between the model parameter changes and the muscle state to achieve the classification of muscle fatigue state on the premise of ensuring the accuracy of the fatigue trend. In order to ensure the safety of human-computer interaction, a variable impedance control algorithm with this algorithm as the supervision link was proposed. On the basis of not adding redundant sensors, the evaluation algorithm was used as the perceptual decision-making link of the control system to monitor the muscle state in real time and carry out the robot control of fault-tolerant mechanism decision-making, so as to achieve the purpose of improving wearing comfort and improving the efficiency of rehabilitation training. Experiments show that the proposed human-computer interaction control method is effective and universal, and has broad application prospects.
Humans ; Exoskeleton Device ; Muscle Fatigue ; Muscles ; Algorithms ; Electric Impedance

In response to the problem that the traditional lower limb rehabilitation scale assessment method is time-consuming and difficult to use in exoskeleton rehabilitation training, this paper proposes a quantitative assessment method for lower limb walking ability based on lower limb exoskeleton robot training with multimodal synergistic information fusion. The method significantly improves the efficiency and reliability of the rehabilitation assessment process by introducing quantitative synergistic indicators fusing electrophysiological and kinematic level information. First, electromyographic and kinematic data of the lower extremity were collected from subjects trained to walk wearing an exoskeleton. Then, based on muscle synergy theory, a synergistic quantification algorithm was used to construct synergistic index features of electromyography and kinematics. Finally, the electrophysiological and kinematic level information was fused to build a modal feature fusion model and output the lower limb motor function score. The experimental results showed that the correlation coefficients of the constructed synergistic features of electromyography and kinematics with the clinical scale were 0.799 and 0.825, respectively. The results of the fused synergistic features in the K-nearest neighbor (KNN) model yielded higher correlation coefficients ( r = 0.921, P < 0.01). This method can modify the rehabilitation training mode of the exoskeleton robot according to the assessment results, which provides a basis for the synchronized assessment-training mode of "human in the loop" and provides a potential method for remote rehabilitation training and assessment of the lower extremity.
Humans ; Exoskeleton Device ; Reproducibility of Results ; Walking/physiology* ; Lower Extremity ; Algorithms ; Stroke Rehabilitation/methods*

Ommaya reservoir implantation is generally used in the treatment of hydrocephalus and intraventricular drug administration. Ommaya reservoir implantation in the subarachnoid space of the spinal cord for the intrathecal drug administration has not been carried out in China, and only several reports can be retrieved from PubMed. About 60%-90% of untreated patients with spinal muscular atrophy type 2 (SMA2) who survive to adulthood often have complex scoliosis and joint deformities. Nusinersen is an effective drug for the treatment of SMA2. And the route of administration is intrathecal injection, which is difficult for patients with severe scoliosis. This article summarizes the process of Ommaya reservoir implantation and postoperative drug administration in a patient with complex scoliosis type SMA2, which provides a new method for clinical treatment of this disease.

ObjectiveTo develop a direct teaching technology (teaching and teaching reproduction) of an end-traction upper limb rehabilitation robot, in allusion to the difference between the upper limb training trajectory and training intensity of different patients. MethodsA direct teaching method based on Moveit was proposed, to realize the stable teaching of the upper limb rehabilitation robot, by adding upper limb gravity compensation and constraint step conversion control. After the six-dimensional force sensor collecting the force/torque information, the coordinate transformation, upper limb gravity compensation and constraint step conversion algorithm were used in Robot Operating System (ROS), so that the upper limb of the patient and the end of the mechanical arm could comply with the direction of the drag force of the rehabilitation therapist track, and recorded the teaching track at the same time. In ROS, Moveit was used to write a teaching and reproduction node, which was used to adjust the training times, training speed and rest time of rehabilitation training, and conduct training. Through Moveit's kinematics solution and trajectory planning for the taught trajectory information, the rehabilitation robot could accurately drive the affected limb for reciprocating training, thereby achieving the effect of personalized training. ResultsThe instructors dragged the upper limbs of five healthy subjects in the horizontal plane, sagittal plane and coronal plane training modes to complete the same training action, and completed any curve movement in the space training mode. The direct teaching took about four to seven seconds and the obtained trajectory was smooth and the direction conformed to the direction of force. Due to difference in the height of the subjects and the length of each part of the upper limbs, the five subjects had different trajectories and positions when completing the same training exercise. The instructor set appropriate training intensity parameters through the human-computer interaction interface and trained five subjects in each mode. The subjects had regular movements and felt comfortable during training. The trajectory of subject three, which was closest to the average value, was selected to train five subjects. It was found that all subjects except subject three had irregular training movements, unstretched or overstretched, etc. ConclusionThe direct teaching system of the end-traction type upper limb rehabilitation robot can well help the instructor teach the multi-degree-of-freedom upper limb training trajectory suitable for different subjects easily, quickly and stably. Rehabilitation training of different intensities is carried out by reproducing the trajectory, which has the characteristics of simple operation, strong pertinence and accurate training.

With the advantage of providing more natural and flexible control manner, brain-computer interface systems based on motor imagery electroencephalogram (EEG) have been widely used in the field of human-machine interaction. However, due to the lower signal-noise ratio and poor spatial resolution of EEG signals, the decoding accuracy is relative low. To solve this problem, a novel convolutional neural network based on temporal-spatial feature learning (TSCNN) was proposed for motor imagery EEG decoding. Firstly, for the EEG signals preprocessed by band-pass filtering, a temporal-wise convolution layer and a spatial-wise convolution layer were respectively designed, and temporal-spatial features of motor imagery EEG were constructed. Then, 2-layer two-dimensional convolutional structures were adopted to learn abstract features from the raw temporal-spatial features. Finally, the softmax layer combined with the fully connected layer were used to perform decoding task from the extracted abstract features. The experimental results of the proposed method on the open dataset showed that the average decoding accuracy was 80.09%, which is approximately 13.75% and 10.99% higher than that of the state-of-the-art common spatial pattern (CSP) + support vector machine (SVM) and filter bank CSP (FBCSP) + SVM recognition methods, respectively. This demonstrates that the proposed method can significantly improve the reliability of motor imagery EEG decoding.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Humans ; Imagination ; Neural Networks, Computer ; Reproducibility of Results

Model informed precision dosing (MIPD) is a new concept to guide precision dosing for individual patient by modeling and simulation based on the available information about the individual patient, medications and the disease. Compared to the empirical dosing, MIPD could improve the efficacy, safety, economics and adherence of the pharmacotherapy according to the individual's pathophysiology, genotyping and disease progression. This consensus report provides a brief account of the concept, methodology and implementation of MIPD as well as clinical decision supporting systems for MIPD. The status and future advancing of MIPD was also discussed to facilitate the appropriate application and development of MIPD in China.

Artificial prosthesis is an important tool to help amputees to gain or partially obtain abled human limb functions. Compared with traditional prosthesis which is only for decoration or merely has feedforward control channel, the perception and feedback function of prosthesis is an important guarantee for its normal use and self-safety. And this includes the information of position, force, texture, roughness, temperature and so on. This paper mainly summarizes the development and current status of artificial prostheses in the field of perception and feedback technology in recent years, which is derived from two aspects: the recognition way of perception signals and the feedback way of perception signals. Among the part of recognition way of perception signals, the current commonly adopted sensors related to perception information acquisition and their application status in prosthesis are overviewed. Additionally, from the aspects of force feedback stimulation, invasive/non-invasive electrical stimulation, and vibration stimulation, the feedback methods of perception signals are summarized and analyzed. Finally, some problems existing in the perception and feedback technology of artificial prosthesis are proposed, and their development trends are also prospected.
Amputees ; Artificial Limbs ; Feedback, Sensory ; Humans ; Prosthesis Design ; Prosthesis Implantation