In order to accurately evaluate the similarity of motions during daily rehabilitation training for stroke patients, this paper proposed a novel quantitative assessment method based on dynamic time warping (DTW) algorithm. Firstly, the raw accelerometer signals were preprocessed to eliminate the noise. Secondly, the similarity between the accelerometer signals and four standard task templates was calculated respectively, and then the motion was recognized based on the similarity measurements. Finally, the corresponding quantitative assessment model was used to compute the result. The clinical experimental results showed that there were significant differences in the shortest path distance (R value) of DTW between different tasks, and the classification accuracy could be up to 91% when the R value was selected as the classification feature. Additionally, with the process of rehabilitation, the R value decreased gradually, which means that the R value can be taken as the assessment index to evaluate the quality of designated tasks for stroke patients. It also indicated that the R value could be applied into the scene of automatic prescription generation and interactive gaming to determine whether it is needed to change the rehabilitation plan or adjust the game difficulty level, so as to implement the individualized rehabilitation services.
Objective To develop an innovative recognition algorithm that aids physicians in the identification of pulmonary nodules. MethodsPatients with pulmonary nodules who underwent thoracoscopic surgery at the Department of Thoracic Surgery, Affiliated Drum Tower Hospital of Nanjing University Medical School in December 2023, were enrolled in the study. Chest surface exploration data were collected at a rate of 60 frames per second and a resolution of 1 920×1 080. Frame images were saved at regular intervals for subsequent block processing. An algorithm database for lung nodule recognition was developed using the collected data. ResultsA total of 16 patients were enrolled, including 9 males and 7 females, with an average age of (54.9±14.9) years. In the optimized multi-topology convolutional network model, the test results demonstrated an accuracy rate of 94.39% for recognition tasks. Furthermore, the integration of micro-variation amplification technology into the convolutional network model enhanced the accuracy of lung nodule identification to 96.90%. A comprehensive evaluation of the performance of these two models yielded an overall recognition accuracy of 95.59%. Based on these findings, we conclude that the proposed network model is well-suited for the task of lung nodule recognition, with the convolutional network incorporating micro-variation amplification technology exhibiting superior accuracy. Conclusion Compared to traditional methods, our proposed technique significantly enhances the accuracy of lung nodule identification and localization, aiding surgeons in locating lung nodules during thoracoscopic surgery.
Deformable image registration plays a crucial role in medical image analysis. Despite various advanced registration models having been proposed, achieving accurate and efficient deformable registration remains challenging. Leveraging the recent outstanding performance of Mamba in computer vision, we introduced a novel model called MCRDP-Net. MCRDP-Net adapted a dual-stream network architecture that combined Mamba blocks and convolutional blocks to simultaneously extract global and local information from fixed and moving images. In the decoding stage, we employed a pyramid network structure to obtain high-resolution deformation fields, achieving efficient and precise registration. The effectiveness of MCRDP-Net was validated on public brain registration datasets, OASIS and IXI. Experimental results demonstrated significant advantages of MCRDP-Net in medical image registration, with DSC, HD95, and ASD reaching 0.815, 8.123, and 0.521 on the OASIS dataset and 0.773, 7.786, and 0.871 on the IXI dataset. In summary, MCRDP-Net demonstrates superior performance in deformable image registration, proving its potential in medical image analysis. It effectively enhances the accuracy and efficiency of registration, providing strong support for subsequent medical research and applications.
Objective To investigate the changes of cognitive function of epileptic patients after antiepileptic drugs (AEDs) therapy. Methods Twenty eight cases of epileptic patients with new diagnosis and untreatment from March 2015 to February 2016 were collected. According to the seizure type, degree of attack and drug efficacy, patients were divided into three groups and treated with one of three AEDs, including Lamotrigine (LTG), Oxcarbazepine (OXC), and Sodium valproate (VPA). Among them, 11 were LTG group, 12 were OXC group and 5 were VPA group.Then the patients were followed up for 1 year. The clinical memory scale was used to analyze cognitive function of epileptic patients before and after therapy. Results Compared to 30 cases of healthy volunteers, the scores of memory quotient (P<0.01), directed memory (P<0.05), associative learning (P<0.05) and image free recall (P<0.01) of epileptic patients were obviously decreased before AEDs therapy.AEDs therapy reduced or controlled seizures in new diagnostic epileptic patients, and the total effective rate was 85.7%. In the clinical memory scale tests, the scores of memory quotient (P<0.01), directed memory (P<0.05), associative learning (P<0.05), portrait characteristics contact memory (P<0.05) were improved after therapy. The scores of image free recall and meaningless graphics recognition were also improved, but there was no statistical significance. Besides, there was a statistically significant improvement in the score of portrait characteristics contact memory after LTG treatment (P<0.05), and directed memory after VPA treatment (P<0.05). Conclusions Epileptic patients accompanied with cognitive deficits before drug intervention. Through standard AEDs treatment, seizures could be better controlled. The cognitive function of epileptic patients was not declined after short-term（within 1 year） intervention of LTG, OCX or VPA. Moreover some parts of the cognitive domain could be improved.
Objective To evaluate the subjective outcomes of sleepiness behavior and mood status applying continuous positive airway pressure（CPAP） in adults of elderly and middle-aged with obstructive sleep apnea syndrome（OSAS）. Methods Nine randomized controlled trails comparing nocturnal CPAP with inactive control appliances in adults with OSAS with the use of computerized search in related medical databases（MEDLINE，EMBASE，CBMdisk，etc） were included.The quality of literature was reviewed，and all data were extracted by two reviewers independently.Meta analysis was conducted used RevMan 4.2 software.Results 9 RCT involving 665 patients of elderly and middle-aged met the inclusion criteria.Meta analysis indicated that the score of Epworth sleepiness scale（ESS） and general health questionnaire-28（GHQ-28） declined significantly after CPAP treatment on effectiveness with WMD（random） －2.94，95 %CI －4.68 to －1.20，or WMD（fixed） －2.26，95 %CI －3.79 to －0.72，Plt;0.01.Nevertheless，hospital anxiety and depression scale（HADS） was not significantly different between CPAP and control with WMD（random） －0.89，95%CI －1.98 to 0.20，Pgt;0.05.Conclusion Current clinical evidence suggested that CPAP was effective in improving day-time subjective outcomes of sleepiness behavior and general mental health status in OSAS patients of elderly and middle-aged，although evidence of improving emotion disorder of anxiety and depression was not confirmed.
ObjectiveTo systemically review the efficacy and safety of Schwann cells (SCs) or activated Schwann cells (ASCs) transplantation in the treatment of traumatic spinal-cord injury (TSCI) in rats models. MethodsRandomized controlled trials (RCTs) about the effects of SCs and ASCs transplantation for TSCI in rats were searched in PubMed, EMbase, The Cochrane Library (Issue 12, 2014), CBM, CNKI, WanFang Data and VIP from inception to December 2014. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed the risk of bias of included studies. Then meta-analysis was performed using RevMan 5.3 software. ResultsA total of 14 RCTs involving 510 rats were included. The results of meta-analysis showed that:compared with the control group, the Basso, Beattie and Bresnahan (BBB) scores in the SCs or ASCs transplantation group were superior in 4 weeks (SMD=2.31, 95%CI 1.48 to 3.13, P<0.000 01), 8 weeks (SMD=3.93, 95%CI 3.06 to 4.81, P<0.000 01) and 12 weeks (SMD=6.15, 95%CI 4.30 to 8.00, P<0.000 01) after surgery. The BBB scores in the SCs or ASCs transplantation combined with other therapies group were also better in 4 weeks (SMD=1.06, 95%CI 0.44 to 1.68, P=0.000 8), 8 weeks (SMD=2.26, 95%CI 1.57 to 2.96, P<0.000 01) and 12 weeks (SMD=1.49, 95%CI 0.72 to 2.25, P<0.000 01) after surgery. Compared with the SCs group, the BBB score in the ASCs transplantation group were superior in 4 weeks (SMD=4.31, 95%CI 3.50 to 5.13, P<0.000 01) and 12 weeks (SMD=5.44, 95%CI 3.99 to 6.89, P<0.000 01) after surgery. No significant difference was found in mortality between the transplantation group and the control group. ConclusionCurrent evidence indicates that SCs and ASCs can promote the recovery of motor function in the rats with TSCI. More functional recoveries can be obtained in ASCs transplantation compared with SCs transplantation. Due to limited quality of the included studies, the above conclusion should be verified by conducting more large-scale, high quality RCTs.
Objective To investigate the current situation of randomized controlled trials (RCTs) on compound salvia pellet (CSP) for angina pectoris and assess whether there is adequate evidence for clinical practice. Methods We collected all the published clinical studies on CSP for angina pectoris from 1994 to December 2005, and assessed each included report using the Jadad scale, the revised CONSORT statement and other self-edited items. Results We finally identified 115 RCTs. Among which, 1 scored 3 points, 6 scored 2 points, 106 scored 1 points and 2 socred 0 points. No RCT performed allocation concealment according to the CONSORT criteria, only 4 RCTs (3.5%) described the generation of the randomization sequence, among which 2 were quasi-randomized. No RCT provided randomization implementation,1 RCT (0.9%) carried out placebo control, 1 RCT (0.9%) reported endpoint, 9 RCTs (7.8%) adopted single blinding, 4 RCTs (3.5%) reported double blinding, 11 RCTs (9.6%) calculated statistical values, 2 RCTs (1.7%) provided the record of follow-up, 1 RCT (0.9%) reported negative outcome, 25 RCTs (21.8%) described adverse events, no RCT described how the sample size was estimated, and how an intent-to-treat (ITT) analysis and correlation analysis were reported, 1 RCT (0.9%) was multi-center, no RCT completed ethical approval and informed consent, 27 RCTs (23.5%) described syndrome type of TCM. Conclusion Currently, the methodology and reporting of studies on CSP for angina pectoris are not good enough to provide reliable evidence for clinical practice.
Chromatin three-dimensional genome structure plays a key role in cell function and gene regulation. Single-cell Hi-C techniques can capture genomic structure information at the cellular level, which provides an opportunity to study changes in genomic structure between different cell types. Recently, some excellent computational methods have been developed for single-cell Hi-C data analysis. In this paper, the available methods for single-cell Hi-C data analysis were first reviewed, including preprocessing of single-cell Hi-C data, multi-scale structure recognition based on single-cell Hi-C data, bulk-like Hi-C contact matrix generation based on single-cell Hi-C data sets, pseudo-time series analysis, and cell classification. Then the application of single-cell Hi-C data in cell differentiation and structural variation was described. Finally, the future development direction of single-cell Hi-C data analysis was also prospected.
The deep learning-based automatic detection of epilepsy electroencephalogram (EEG), which can avoid the artificial influence, has attracted much attention, and its effectiveness mainly depends on the deep neural network model. In this paper, an attention-based multi-scale residual network (AMSRN) was proposed in consideration of the multiscale, spatio-temporal characteristics of epilepsy EEG and the information flow among channels, and it was combined with multiscale principal component analysis (MSPCA) to realize the automatic epilepsy detection. Firstly, MSPCA was used for noise reduction and feature enhancement of original epilepsy EEG. Then, we designed the structure and parameters of AMSRN. Among them, the attention module (AM), multiscale convolutional module (MCM), spatio-temporal feature extraction module (STFEM) and classification module (CM) were applied successively to signal reexpression with attention weighted mechanism as well as extraction, fusion and classification for multiscale and spatio-temporal features. Based on the Children’s Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) public dataset, the AMSRN model achieved good results in sensitivity (98.56%), F1 score (98.35%), accuracy (98.41%) and precision (98.43%). The results show that AMSRN can make good use of brain network information flow caused by seizures to enhance the difference among channels, and effectively capture the multiscale and spatio-temporal features of EEG to improve the performance of epilepsy detection.
ObjectiveTo investigate the feasibility and effect of early pulmonary rehabilitation (PR) in patients after acute exacerbation of chronic obstructive pulmonary disease (COPD) in a district hospital. MethodsA single-centre prospective study was conducted. The COPD patients after an episode of acute exacerbation and referred to the outpatient department were recruited from January 2013 to December 2014. They were randomized to a group with PR (PR group) and a group without PR (wPR group). The following data were recorded and evaluated including age, gender, forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and FEV1 as a percentage of the predicted value (FEV1% pred).The baseline and the post-PR medical research council scale (MRC), St. George's respiratory questionnaire (SGRQ), and six-minute walk distance (6MWD) were also compared. ResultsA total of 91 cases were enrolled with 46 cases in the PR group and 45 cases in the wPR group. The age, gender, the severity of COPD were similar in two groups (P > 0.05). The MRC score and SGRQ score of the PR group were significantly improved 3 months later compare with the baseline (P < 0.05), and did not changed significantly in the wPR group (P > 0.05). There were 26 patients whose SGRQ scores decreased > 4 in the PR group (26/46, 56.5%), which was significantly higher than the wPR group (7/45, 15.6%) (P < 0.05). The 6MWD of the PR group was significantly increased 3 months later compare with the baseline (P < 0.05), and did not changed significantly in the wPR group (P > 0.05). There were 22 patients whose 6MWD increased > 54 meters in the PR group (22/46, 47.8%), which was significantly higher than the wPR group (9/45, 20.0%) (P < 0.05). ConclusionsIt is feasible and safety to perform early PR in patients after acute exacerbation of COPD in the district hospital. The early PR can improve the MRC score, SGQR score, and 6MWD in COPD patients.