Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

How to effectively reduce the size of infant pose estimation network models is a key issue restricting the"home-use"of infant pose estimation technology. Therefore,a lightweight method for infant pose estimation in home scenarios is proposed. The method takes the lightweight network MobileNetV3 as the encoding backbone and utilizesa PixelShuffle up-sampling module in the decoder for reducing the quantity of model parameters. Meanwhile,coordinate attention mechanism is used to better capture location information and channel feature information,highlighting the feature information of small targets and occluded human keypoints. Besides,the parallel cross-correlation convolution is further modified to enhance the capability of feature information extraction. The method's performance is verified on the general pose estimation dataset (COCO) and the dedicated infant pose estimation dataset (SyRIP). The results show that,with a calculation volume (GFLOPs) of only 0.96,the method achieves average accuracies of 73.5％ and 91.0％ on COCO and SyRIP datasets,respectively,proving that it can significantly reduce the quantity of model parameters and calculation volume without sacrificing pose estimation accuracy. The proposed lightweight estimation model is expected to be deployed on home appliances such as smart terminals,thereby realizing intelligent estimation of abnormal infant poses in home scenarios.

Objective To test the hypothesis that backward crawling and forward crawling share similar inter-joint coordination patterns,thus providing potential evidence for the application of backward crawling in rehabilitation training.Methods The acceleration signals in the X,Y,and Z directions for 9 joints(including bilateral wrists,elbows,shoulders,knees,and hips)in 9 volunteers during forward and backward crawling were collected using a custom signal acquisition system,and the pressure signals were also recorded when the palms contacted the ground.The collected acceleration signals were preprocessed,segmented into cycles,and vectorized.Based on the pressure signals,a single crawling cycle was divided into support phase and swing phase.In addition,principal component analysis was applied to extract inter-joint coordination in limbs at various scales(sagittal,coronal,and transverse planes).Pearson correlation coefficients of inter-joint coordination patterns were compared between forward and backward crawling in support period,swing period,and full cycle.Results The correlation coefficients for coordination patterns in the full cycle at the transverse plane scale were 0.813 5(PC1)and 0.837 5(PC2),and the correlation coefficient of the support period PC2 was 0.901 8.At the sagittal plane scale,the correlation coefficient of the support period PC1 was 0.948 5.Conclusion The study provides preliminary evidence that limb motion coordination patterns during backward crawling are similar to those observed during forward crawling.Future research will further explore the effects of backward crawling on functional rehabilitation in individuals with motor impairments.

How to effectively reduce the size of infant pose estimation network models is a key issue restricting the"home-use"of infant pose estimation technology. Therefore,a lightweight method for infant pose estimation in home scenarios is proposed. The method takes the lightweight network MobileNetV3 as the encoding backbone and utilizesa PixelShuffle up-sampling module in the decoder for reducing the quantity of model parameters. Meanwhile,coordinate attention mechanism is used to better capture location information and channel feature information,highlighting the feature information of small targets and occluded human keypoints. Besides,the parallel cross-correlation convolution is further modified to enhance the capability of feature information extraction. The method's performance is verified on the general pose estimation dataset (COCO) and the dedicated infant pose estimation dataset (SyRIP). The results show that,with a calculation volume (GFLOPs) of only 0.96,the method achieves average accuracies of 73.5％ and 91.0％ on COCO and SyRIP datasets,respectively,proving that it can significantly reduce the quantity of model parameters and calculation volume without sacrificing pose estimation accuracy. The proposed lightweight estimation model is expected to be deployed on home appliances such as smart terminals,thereby realizing intelligent estimation of abnormal infant poses in home scenarios.

Crawling is a significant sign of gross motor development in infants,and also an important means of rehabilitation training for patients with motor disorders.The accurate measurement of the motion state during human crawling is essential for evaluating the gross motor developmental process in infants and the rehabilitation outcome of patients with motor disorders.In recent years,many studies have attempted to quantitatively evaluate the motion state by detecting physiological signals during human crawling,but there is a lack of overview on human crawling motion signal acquisition and processing.Herein the detection and processing methods for motion signals during human crawling and relevant researches are reviewed.The mainstream methods for detecting motion signals during human crawling are introduced from the perspectives of inertial sensors,pressure sensors,and surface electromyography.Then,the signal processing and analysis such as periodic segmentation,kinematic analysis,and dynamic analysis in human crawling are summarized.Based on the theory of motion coordination,the research advances in joint synergy and muscle synergy during human crawling are elaborated.Finally,the current problems and future development directions of motion analysis for human crawling are discussed.

BACKGROUND:The currently published literatures about Tuina manipulation for lumbar disc herniation include clinical observations, retrospective study and summary of clinical experience, which have shortcomings in the study design, choice of cases and outcome measures. Reviews may enrol randomized and intended references, and has no analysis or evaluation on the quality of involved literatures, leading to the bias and subjective views.
OBJECTIVE:To research the application laws of Tuina manipulation for treating lumbar disc herniation through literature analysis within 10 years.
METHODS:The key words of“lumbar disc herniation, traditional Chinese medicine, Tuina, manipulation, massage, rehabilitation, poking channels, point pressing, palpating pressing, and finger pressing”in Chinese were used to search the literature about Tuina manipulation in treatment of lumbar disc herniation within recent 10 years published in the Wanfang database, Vip database and CNKI database. The top 20 manipulations of Tuina for lumbar disc herniation were and statistical analyzed with hierarchical clustering statistical method.
RESULTS AND CONCLUSION:The hierarchical clustering analysis results showed that, Tuina manipulations for lumbar disc herniation are as fol ows:(1) manipulations acted on soft tissue, including rol ing, holding, pushing and pressing;(2) manipulations acted on acupuncture point, including Urinary Bladder Meridian of Foot-Taiyang acupuncture points (Shengshu, Dachangshu, Guanyuanshu, Zhibian, Chengfu, Weizhong, Chengshan and Kunlun), Gal Bladder Meridian of Foot-Shaoyang acupuncture points (Huantiao and Yanglingquan), Yaoyangguan point in Du Meridian, Zusanli point in Stomach Meridian of Foot-Yangming, and tender points;(3) manipulations acted on human bones and joints, including waist inclined pul method, waist back-stretching method, pelvic traction method and straight-leg raising method. The findings indicate that the potential application laws of Tuina manipulation for treating lumbar disc herniation are given priority to pressing acupuncture points (Urinary Bladder Meridian of Foot-Taiyang acupuncture point, Gal Bladder Meridian of Foot-Shaoyang acupuncture point, Du Meridian, Stomach Meridian of Foot-Yangming acupuncture point and tender points), at the same time companied with manipulations acted on soft tissue (rol ing, holding, pushing spinal method), and bones and joints (waist inclined pul method, waist back-stretching method, pelvic traction method and straight-leg raising method).

Objective To investigate the clinical effect of angioplasty for symptomatic intracranial atherosclerotic stenosis. Methods Eighty-two patients with symptomatic intracranial atherosclerotic stenosis whom underwent angioplasty after the failure of standard medical therapy were enrolled from Nan-jing Stroke Registry Program from September 2010 to June 2013.Nine of them underwent routine balloon angioplasty alone and 73 underwent intracranial stenting.The median time from onset to surgery was 24.5 days.The occurrence of endpoint events (any stroke ≤30 d after procedure,death and ischemic stroke >30 d in guilty vessels or original stenosis had restenosis and needed to be treated again)was assessed. The incidence of restenosis was followed up with imaging (CTA or DSA). Results (1)In the 82 patients, the success rate of operation was 92.7%(n=72 ),and 78 (95.1%)received follow-up,4 were lost to follow-up.The median follow-up time was 22.5 months (range 9 to 29 months ).Ten patients had an endpoint event,7 of them were ischemic stroke,1 was cerebral hemorrhage,and two were severe asymptomatic restenosis who underwent stenting again.The endpoint events of 3 patients occurred at day 30 after procedure (at ≤24 h after procedure).Kaplan-Meier curves showed that the incidences of cumulative endpoint events at 1,6,12,and 24 months were 3.7%,8.6%,11%,and 13%,respectively.(2)60 patients (73.2%)received imaging examination (11 CTA and 49 DSA ).Restenosis occurred in 17 patients (28.3%),among them the incidence of symptomatic restenosis was 5%(n =3 ),and asymptomatic restenosis was 23.3%(n=14). Conclusion After a comprehensive assessment and a rigorous screening, the safety is high and the mid- and long-term efficacy are satisfactory in patients with symptomatic intracranial arterial stenosis who are treated with angioplasty when their medical treatment is invalid.