An Approach for Human Posture Recognition Based on the Fusion PSE-CNN-BiGRU Model

This study proposes a pose estimation-convolutional neural network-bidirectional gated recurrent unit(PSECNN-BiGRU)fusion model for human posture recognition to address low accuracy issues in abnormal posture recognition due to the loss of some feature information and the deterioration of comprehensive performance in model detection in complex home environments.Firstly,the deep convolutional network is integrated with the Mediapipe framework to extract high-precision,multi-dimensional information from the key points of the human skeleton,thereby obtaining a human posture feature set.Thereafter,a double-layer BiGRU algorithm is utilized to extract multi-layer,bidirectional temporal features from the human posture feature set,and a CNN network with an exponential linear unit(ELU)activation function is adopted to perform deep convolution of the feature map to extract the spatial feature of the human posture.Furthermore,a squeeze and excitation networks(SENet)module is introduced to adaptively learn the importance weights of each channel,enhancing the network’s focus on important features.Finally,comparative experiments are performed on available datasets,including the public human activity recognition using smartphone dataset(UCIHAR),the public human activity recognition 70 plus dataset(HAR70PLUS),and the independently developed home abnormal behavior recognition dataset(HABRD)created by the authors’team.The results show that the average accuracy of the proposed PSE-CNN-BiGRU fusion model for human posture recognition is 99.56%,89.42%,and 98.90%,respectively,which are 5.24%,5.83%,and 3.19%higher than the average accuracy of the five models proposed in the comparative literature,including CNN,GRU,and others.The F1-score for abnormal posture recognition reaches 98.84%(heartache),97.18%(fall),99.6%(bellyache),and 98.27%(climbing)on the self-builtHABRDdataset,thus verifying the effectiveness,generalization,and robustness of the proposed model in enhancing human posture recognition.

Boxing Practitioners Physiology Review: 3. Dietary Supplementation, Weight Control, Recovery and Altitude

The preceding parts of the review concerned kinanthropometric parameters, skeletal muscle recruitment, ergometry, systemic responses and adaptations. Main teachings of this third part of the whole review follow. At the 1996 Atlanta Olympic Game, most vitamin users (91 percent) were boxers. After 18 days of endurance training at the altitude of 1800 m, in boxers, 1) erythropoietin and reticulocytes values increased, 2) remained unchanged parameters of iron metabolism and maximal oxygen uptake values, 3) iron supplementation decreased total body hemoglobin values. Zinc supplementation and/or regularity while boxing influenced plasma levels of calcium, copper, iron, magnesium, phosphorus and zinc in boxers. Sodium bicarbonate ingestion increased punches frequency and time to fatigue in boxers. Boxing-induced thermal dehydration yielded 1) body and muscle masses decrease compensated by increased neural input to muscle, to maintain muscle strength, but 2) a 26.8 percent performance fall. In boxers, fluid and food intake restriction 1) changed neither blood vitamin status nor plasma glutathione levels, 2) yielded a) a negative mood profile and a performance decrease, when resulted in body mass fall by 5.16 percent but b) no performance decrease when fall was by three percent. Diet protein or protein and caloric components decrease increased, in boxers, protein catabolism and, for the same submaximal workload, heart rate and oxygen intake. In food-restricted boxers, myoprotein catabolism increased with decreasing meal intake frequency. Competition and no-competition boxers utilize massage. Massage increased perceptions of recovery after a whole boxing performance. High level of cardiorespiratory fitness accelerates recovery process between boxing rounds.

Corrigendum:Disentangling brain PrPC proteoforms and their roles in physiology and disease

In the article titled“Disentangling brain PrPC proteoforms and their roles in physiology and disease”,published on pages 963-965,Issue 5,Volume 19 of Neural Regeneration Research(Vanni and Romolo,2024;doi:10.4103/1673-5374.385302),the name of the second author appears incorrectly.The correct name is Romolo Nonno.

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

Sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by blankets.Precise posture assessment remains challenging because of the complex nature of the human body and variations in sleep patterns.Consequently,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and comfort.This method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone right.The study involves 10 participants under two conditions:with and without blankets.Initially,the database is normalized into a video frame.The subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 model.In the third phase,the extracted features are utilized for classification.The fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal datasets.Finally,the fused vectors are passed to machine learning classifiers for final classification.The dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic Support Vector Machine(QSVM)without the blanket.Moreover,the Linear SVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

Multi-Branch High-Dimensional Guided Transformer-Based 3D Human Posture Estimation

The human pose paradigm is estimated using a transformer-based multi-branch multidimensional directed the three-dimensional(3D)method that takes into account self-occlusion,badly posedness,and a lack of depth data in the per-frame 3D posture estimation from two-dimensional(2D)mapping to 3D mapping.Firstly,by examining the relationship between the movements of different bones in the human body,four virtual skeletons are proposed to enhance the cyclic constraints of limb joints.Then,multiple parameters describing the skeleton are fused and projected into a high-dimensional space.Utilizing a multi-branch network,motion features between bones and overall motion features are extracted to mitigate the drift error in the estimation results.Furthermore,the estimated relative depth is projected into 3D space,and the error is calculated against real 3D data,forming a loss function along with the relative depth error.This article adopts the average joint pixel error as the primary performance metric.Compared to the benchmark approach,the estimation findings indicate an increase in average precision of 1.8 mm within the Human3.6M sample.

Physiology of medicinal and aromatic plants under drought stress

Drought poses a significant challenge,restricting the productivity of medicinal and aromatic plants.The strain induced by drought can impede vital processes like respiration and photosynthesis,affecting various aspects of plants’growth and metabolism.In response to this adversity,medicinal plants employ mechanisms such as morphological and structural adjustments,modulation of drought-resistant genes,and augmented synthesis of secondary metabolites and osmotic regulatory substances to alleviate the stress.Extreme water scarcity can lead to leaf wilting and may ultimately result in plant death.The cultivation and management of medicinal plants under stress conditions often differ from those of other crops.This is because the main goal with medicinal plants is not only to increase the yield of the above-ground parts but also to enhance the production of active ingredients such as essential oils.To elucidate these mechanisms of drought resistance in medicinal and aromatic plants,the current review provides a summary of recent literature encompassing studies on the morphology,physiology,and biochemistry of medicinal and aromatic plants under drought conditions.

Fusion of Convolutional Self-Attention and Cross-Dimensional Feature Transformationfor Human Posture Estimation

Human posture estimation is a prominent research topic in the fields of human-com-puter interaction,motion recognition,and other intelligent applications.However,achieving highaccuracy in key point localization,which is crucial for intelligent applications,contradicts the lowdetection accuracy of human posture detection models in practical scenarios.To address this issue,a human pose estimation network called AT-HRNet has been proposed,which combines convolu-tional self-attention and cross-dimensional feature transformation.AT-HRNet captures significantfeature information from various regions in an adaptive manner,aggregating them through convolu-tional operations within the local receptive domain.The residual structures TripNeck and Trip-Block of the high-resolution network are designed to further refine the key point locations,wherethe attention weight is adjusted by a cross-dimensional interaction to obtain more features.To vali-date the effectiveness of this network,AT-HRNet was evaluated using the COCO2017 dataset.Theresults show that AT-HRNet outperforms HRNet by improving 3.2%in mAP,4.0%in AP75,and3.9%in AP^(M).This suggests that AT-HRNet can offer more beneficial solutions for human posture estimation.

Posture Detection of Heart Disease Using Multi-Head Attention Vision Hybrid(MHAVH)Model

Cardiovascular disease is the leading cause of death globally.This disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as possible.Thus,minimizing the death ratio can be achieved by early detection of heart attack(HA)symptoms.In the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four fatalities.However,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives significantly.Our objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their lives.To address these challenges,we employ deep learning techniques.We have utilized a vision transformer(ViT)to address this problem.However,it has a significant overhead cost due to its memory consumption and computational complexity because of scaling dot-product attention.Also,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more challenging.In response,we propose a three-in-one steam model,theMulti-Head Attention Vision Hybrid(MHAVH).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature extraction capabilities.By incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack detection.Given the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original datasets.The training accuracy of our model reached an impressive 99.77%.Upon testing,the accuracy for male and female datasets was recorded at 92.87%and 75.47%,respectively.The combined dataset accuracy is 93.96%,showcasing a commendable performance overall.Our proposed approach demonstrates versatility in accommodating small and large datasets,offering promising prospects for real-world applications.

Effects of Inoculation with Phosphate Solubilizing Bacteria on the Physiology,Biochemistry,and Expression of Genes Related to the Protective Enzyme System of Fritillaria taipaiensis P.Y.Li

Fritillaria taipaiensis P.Y.Li is a widely used medicinal herb in treating pulmonary diseases.In recent years,its wild resources have become scarce,and the demand for efficient artificial cultivation has significantly increased.This article is the first to apply phosphate solubilizing bacteria isolated from the rhizosphere soil of F.taipaiensis P.Y.Li to the cultivation process of F.taipaiensis P.Y.Li.The aim is to identify suitable reference strains for the artificial cultivation and industrial development of F.taipaiensis P.Y.Li by examining the effects of various phosphate solubilizing bacteria and their combinations on photosynthesis,physiological and biochemical properties,and gene expression related to the protective enzyme system in F.taipaiensis P.Y.Li.The experiment,conducted in pots at room temperature,included a control group(CK)and groups inoculated with inorganic phosphorussolubilizing bacteria:W1(Bacillus cereus),W2(Serratia plymuthica),W12(Bacillus cereus and Serratia plymuthica),and groups inoculated with organophosphorus-solubilizing bacteria:Y1(Bacillus cereus),Y2(Bacillus cereus),Y12(Bacillus cereus and Bacillus cereus),totaling seven groups.Compared to CK,most growth indices in the bacterial addition groups showed significant differences,with W12 achieving the highest values in all indices except the leaf area index.The content of photosynthetic pigments,photosynthetic parameters,and osmoregulatory substances increased variably in each bacterial treatment group.W12 exhibited the highest content of chlorophyll a and soluble protein,while W1 had the highest free proline content.The activities of peroxidase(POD),superoxide dismutase(SOD),and catalase(CAT)in all inoculated groups were higher than in CK,with significant changes in SOD and CAT activities.The malondialdehyde(MDA)content in all inoculated groups was lower than in CK,with Y12 being the lowest,at approximately 30%of CK.Gene expression corresponding to these three enzymes also increased variably,with POD expression in Y2 being the highest at 2.73 times that of CK.SOD and CAT expression in Y12 were the highest,at 1.84 and 4.39 times that of CK,respectively.These results indicate that inoculating phosphate solubilizing bacteria can enhance the growth of F.taipaiensis P.Y.Li,with the mixed inoculation groups W12 and Y12 demonstrating superior effects.This lays a theoretical foundation for selecting bacterial fertilizers in the cultivation process of F.taipaiensis P.Y.Li.

Computer Vision-Based Human Body Posture Correction System

With the development of technology and the progress of life,more and more people,regardless of entertainment,learning,or work,cannot do without computer desks and cannot put down their mobile phones.Due to prolonged sitting and often neglecting the importance of posture,incorrect posture can often lead to health problems such as hunchback,lumbar muscle strain,and shoulder and neck pain over time.To address this issue,we designed a computer vision-based human body posture detection system.The system utilizes YOLOv8 technology to accurately locate key points of the human body skeleton,and then analyzes the coordinate positions and depth information of these key points to establish a criterion for distinguishing different postures.With the assistance of an SVM classifier,the system achieves an average recognition rate of 95%.Finally,we successfully deployed the posture detection system on Raspberry Pi hardware and conducted extensive testing.The test results demonstrate that the system can effectively detect various postures and provide real-time reminders to users to correct poor posture,demonstrating good practicality and stability.

成熟度和温度对芙蓉李贮藏期间生理生化特性及蜡质结构的影响

为研究成熟度和温度对芙蓉李贮藏期间生理生化特性和果皮蜡质结构的影响,本研究选择2个成熟度(F:约六成熟;S:约八成熟)的芙蓉李,于4、25℃条件下进行试验,分析16个生理生化指标的差异,采用正交偏最小二乘判别法(OPLS-DA)筛选不同成熟度芙蓉李在不同温度贮藏期间的主要差异性指标,检测芙蓉李贮藏前后蜡质结构的变化并分析其贮藏效应。结果表明,4℃条件下F与S之间的主要差异性指标为可溶性固形物含量(SS)、果肉硬度(FF)、果皮色度值a^(*)(PC-a^(*))、花色苷(AC)含量、可滴定酸(TA)含量、果皮硬度(PF),25℃时为SS、超氧化物歧化酶(SOD)活性、PC-a^(*)、果皮色度值b*(PC-b*)。不同成熟度果实的SS含量、PC-a^(*)、AC含量均随贮藏天数增加而逐渐上升(S贮藏28 d除外),同一贮藏天数下AC含量在25℃时显著高于4℃时,同一温度同一贮藏天数时S中的SS含量、PC-a^(*)显著高于F;PF、FF和TA含量随贮藏天数的延长而逐渐下降,4℃和F有利于FF和PF的保持,而25℃下TA含量下降更快;SOD活性随贮藏天数的延长先升高后下降,且在25℃和S中下降更显著。芙蓉李蜡质主要以直立片状晶体和颗粒状结晶的形式存在;两种晶体数量和形态的变化可能影响水分的流失,从而影响细胞壁结构的稳定性,进而影响贮藏性。本研究可为芙蓉李的采收和贮藏保鲜提供技术参考。

Physiology and Ultrastructure of Azolla imbricata as Affected by Hg 2+ and Cd 2+ Toxicity

The toxic effects of different gradient concentrations of Hg2+ and Cd2+ on chlorophyll content, chlorophyll a/b value, photosynthetic O-2 evolution, respiration rate, anti-oxidase system (superoxide dismulase (SOD), catalase (CAT), peroxidase (POD)) and ultrastructure of the cells of Azolla imbricata (Roxb.) Nakai were studied. The results showed that with Hg2+ and Cd2+ increase, chlorophyll content and chlorophyll a/b value, photosynthetic O-2 evolution decreased drastically; respiration rate peaked at 2 mg/L pollutant and declined afterwards. The activities of SOD, CAT and POD increased first and decreased afterwards except the activity of POD, which decreased with the increasing of Cd2+ concentration. Ultrastructural observation showed that the extent of ultrastructural damage was much more serious with higher pollutant concentration and longer time of stress. This resulted in swelling of chloroplast, disruption and disappearance of chloroplast membrane and disintegration of chloroplasts; swelling of cristae of mitochondria, deformation and vacuolization of mitochondria; condensation of chromatin in nucleus, dispersion of nucleolus and disruption of nuclear membrane. The experimental results showed: (1) Hg2+ and Cd2+ pollution not only destroyed physiological activities, but also caused irreversible damage to its ultrastructure, thus leading the cells to death; (2) With increase in the stress of Hg2+ and Cd2+, ultrastructural damage was related to the changes of plant physiology; (3) The toxic symptoms of plant showed an evident correlation between dose and effect; (4) The toxicity of Cd2+ on A. imbricata is heavier than that of Hg2+ under the same treatment time and concentration. The lethal concentration of Hg2+ to A. imbricata ranged from 3.5 to 4 mg/L, and that of Cd2+ ranged from 3 to 3.5 mg/L. The damage of cell ultrastructure on Anabaena azollae Strasburger was observed. The results indicated that tolerance of Azolla imbricata for Hg2+ and Cd2+ was higher than that of A. imbricata.

Effects of Heavy Metals and Saline-alkali on Growth,Physiology and Biochemistry of Orychophragmus violaceus

[Objective] The aim was to study on effects of heavy metals and saline-alkali on growth, physiology and biochemistry of Orychophragmus violaceus. [Method] Taken Orychophragmus violaceus as materials, growth, physiology and biochemistry were explored under stress of saline-alkali and heavy metals (light, moderate and severe saline-alkali, Pb, Pb + Cd, light saline-alkali + Pb, moderate saline-alkali + Pb, severe saline-alkali + Pb, light saline-alkali + Pb + Cd, moderate saline-alkali + Pb + Cd and severe saline-alkali + Pb + Cd) with control group set. [Result] Light stress of saline-alkali had little effect on membrane permeability, as follows: MDA contents in leaves and root systems declined by 25.6% and 9.0% compared with control group; Pb (500 mg/L) stress promoted synthetization of photosynthetic pigments, as follows: chlorophyll a and b and carotenoid increased by 0.86%, 0.69% and 6.25% than those of control group; combined stresses of Pb and Cd destroyed synthetization of photosynthetic pigments, among which carotenoid was more sensitive; under combined stresses of saline-alkali, Pb and Cd, POD and SOD activities, soluble saccharides and Pro content all increased and activities of POD and SOD in root system were both higher than those in leaves. [Conclusion] Orychophragmus violaceus is with resistance against light combined stresses of saline-alkali and Pb (500 mg/L).

轻度认知障碍老人与认知正常老人在不同单双任务下姿势控制能力的差异性

背景:老年人由于轻度认知障碍而引起姿势控制能力下降,导致跌倒风险增高。双任务是在接近真实生活场景下评估认知与姿势控制能力关系的主要研究范式,站立时足底压力中心位移样本熵可代表姿势控制的复杂程度。目的:基于压力中心位移样本熵分析轻度认知障碍老年人与认知正常老年人在姿势控制-空间工作记忆任务中姿势稳定性特征及控制策略的差异,探究认知功能损伤对站立姿势控制能力影响。方法:筛选出符合条件的16名轻度认知障碍老年人和17名认知正常老年人为研究对象,老年人分别完成5种测试任务,包括空间工作记忆、双脚平衡站立、Romberg站立、双脚平衡站立-空间工作记忆双任务、Romberg站立-空间工作记忆双任务,每个任务有效完成3次。使用Kistler三维测力台采集足底压力中心数据,测试指标包括认知行为学指标(认知得分与反应时长)、动力学指标(压力中心位移及样本熵)。结果与结论:①轻度认知障碍老年人在执行空间工作记忆任务时认知得分最大、反应时间最短,双脚平衡站立-空间工作记忆双任务居中,Romberg站立-空间工作记忆双任务认知得分最小、反应时长最长,任务间比较差异均有显著性意义(P<0.05);②与双脚平衡站立、Romberg站立任务相比,轻度认知障碍老年人在执行双任务时压力中心前后、内外方向位移显著更大,压力中心前后、内外方向位移样本熵值显著更小(P<0.05);③在空间工作记忆任务下,轻度认知障碍老年人与认知正常老年人的认知得分、反应时长差异均无显著性意义(P>0.05);在两种双任务下,与认知正常老年人相比,轻度认知障碍老年人的认知得分更小、反应时长更长(P<0.05),同时轻度认知障碍老年人压力中心前后、内外方向位移更大,压力中心前后、内外方向位移样本熵值更小(P<0.05);④结果表明:与认知正常老年人相比,轻度认知障碍老年人在执行双任务时姿势控制复杂度降低,系统适应性较差,自动调控能力下降,更容易受到空间工作记忆干扰,跌倒风险增大。

Effects of Controlled Atmospheres with High_O_2 or High_CO_2 Concentrations on Postharvest Physiology and Storability of "Napoleon" Sweet Cherry

Sweet cherries ( Prunus avium L. cv. Napoleon) were stored in controlled atmospheres (CA) of high O(2) (70% O(2) + 0% CO(2)) or high CO(2) (5% O(2) + 10% CO(2)), in modified atmosphere package (MAP, (13% - 18%) O(2) + (2% -4%) CO(2)) and in air (control) at 1 degreesC to investigate the effects of different O(2) and CO(2) concentrations on physiological properties, quality and storability of the fruits during storage. The results indicated that compared with other treatments, CA with high O(2) concentration decreased fruit decay and ethanol content, but increased the accumulation of malondialdehyde (MDA) and stimulated browning. CA with high CO(2) concentration inhibited polyphenol oxidase (PPO) activity, reduced MDA content, maintained vitamin C content and firmness, decreased fruit decay and browning. Soluble solids contents (SSC) were not significantly affected by different atmosphere treatments. 'Napoleon' fruits stored in 5% O(2) + 10% CO(2) for as long as 80 d were of good quality, but only 40, 20 and 30 d stored in MAP, 70% O(2) + 0% CO(2) and air, re-spectively.

从Ousiology到Physiology——古代晚期基督教哲学论Being、Physis和Koinonia的关系

本文论述了古代晚期基督教哲学建立的Being语义学新典范,分析了古代西方本体论(Ontology)从Ousiology到Physiology的转变。据此,本文阐释了基督教哲学家在Being、Physis和Koinonia之间确立的新关系,以及从不同方面(主体性、历史性、关系性和动力学)所赋予Being的新意义。

Studies on Endogenous Hormones and Nutritional Physiology Related to the Premature Senescence of Super-hybrid Rice Liangyoupeijiu and Its Parents at Late Growth Stage

The amount of root bleeding sap, contents of chlorophyl , nutrients and hormones in flag leaves of a super-hybrid rice cultivar Liangyoupeijiu （LYPJ） and its parents 9311 and Pei’ai 64S after heading were measured in this study. The re-sults revealed that compared with 9311, the chlorophyl content of LYPJ reduced more quickly after heading, and then kept at a lower level, which was an obvious characteristic of premature senescence. The other physiological indices of LYPJ af-ter heading except abscisic acid （ABA） content in leaf and root also maintained at a lower level than 9311, while al the physiological indices of the sterile line Pei＇ai 64S were lower than LYPJ. So it was speculated that the early-aging characteristic of LYPJ may be inherited from Pei’ai 64S. Al the leaf and root early-aging traits reduced for LYPJ and its parent lines after heading, their leaf and root aged grad-ual y, which indicated that the above-ground （leaf） and under-ground （root） parts cor-related to each other closely, but there was not absolute correlations between them judged from the data.

老年特发性正常压力脑积水患者的姿势稳定性特征

背景:姿势控制能力受损是特发性正常压力脑积水患者发生跌倒、引发继发性损害的重要危险因素,现有研究大多是对患者直线行走时的步态参数进行分析,鲜有对患者在静态与动态活动中的姿势稳定性特征进行分析。目的:分析老年特发性正常压力脑积水患者的姿势稳定性特征。方法:选择2022年9月至2023年2月在上海市复旦大学附属华东医院神经外科临床诊断为特发性正常压力脑积水的患者22例作为患者组,同时选择健康陪诊家属18名作为健康对照组。分别采用计时起立-行走测试、多方向性伸展测试、Berg平衡量表和静态平衡功能测试(反应时间、移动速度、方向控制、最大偏移距离、端点行程)评估受试者的姿势稳定性特征。结果与结论:①患者组完成计时起立-行走测试所需时间及静态平衡功能测试的反应时间均长于健康对照组(P<0.05),前、后、左、右方向上的伸展测试手臂伸展距离均小于健康对照组(P<0.05),Berg平衡量表得分低于健康对照组(P<0.05),静态平衡功能测试的移动速度、方向控制、最大偏移距离和端点行程均小于健康对照组(P<0.05)。②结果提示,特发性正常压力脑积水患者表现出整体的姿势控制能力障碍,反应能力与执行能力受损使得这类患者在面对来自内部或外部的干扰时无法做出及时、准确的运动反应而出现姿势不稳,增加了发生跌倒的风险。

不同视觉条件平衡训练对慢性踝关节不稳患者本体感觉的影响

背景:频闪视觉训练可以迫使感觉重新加权,通过增强对于本体感觉信息的敏感性而使其重新恢复原有权重,这可能是改善本体感觉的有效方法。目的:确定低频、高频和正常视觉条件下的平衡训练对慢性踝关节不稳患者踝关节本体感觉的影响。方法:在西南医科大学学生中招募36例慢性踝关节不稳患者,随机分为低频视觉训练组(n=12)、高频视觉训练组(n=12)和正常视觉训练组(n=12),均进行渐进跳跃稳定平衡训练,其中低频视觉训练组、高频视觉训练组在训练过程中佩戴频闪眼镜,频闪频率分别为1.75,5 Hz,每周训练3次,连续训练4周。训练前及训练完成后1周内,评估所有受试者的踝关节本体感觉、动态姿势稳定性和踝关节稳定性自我评价。结果与结论:①踝关节本体感觉具有显著的时间主效应(P<0.05);与训练前相比,低频视觉训练组和高频视觉训练组受试者训练4周后的踝关节本体感觉有明显改善(P<0.05);训练4周后,低频视觉训练组受试者的踝关节本体感觉较正常视觉训练组有明显改善(P<0.05);②踝关节稳定性自我评价具有显著的时间主效应、组别×时间因素主效应(P<0.05);与训练前比较,3组训练4周后的踝关节稳定性自我评价均提高(P<0.05);训练4周后,高频视觉训练组受试者的踝关节稳定性自我评价高于正常视觉训练组(P<0.05);③与训练前相比,低频视觉训练组、高频视觉训练组受试者训练4周后的前向动态姿势稳定性、后内侧动态姿势稳定性、后外侧动态姿势稳定性均有明显改善(P<0.05),正常视觉训练组受试者训练4周后的前向动态姿势稳定性、后外侧动态姿势稳定性均有明显改善(P≤0.05);④结果表明,无论频率如何,在频闪视觉条件下进行平衡训练均可以改善慢性踝关节不稳患者的本体感觉、踝关节稳定性自我评价及动态姿势稳定性。

肥胖与普通男性跨越不同高度障碍动态稳定性的差异

背景:肥胖对步行时的动态平衡产生负面影响,而跨越障碍是较为日常的功能活动,对控制身体姿势的稳定性要求更高。目的:探讨肥胖男性与普通男性动态稳定性的差异,采用相对更具挑战性的跨越障碍对肥胖男性的平衡能力进行评估。方法:招募24名男性青年,肥胖组与普通组(非肥胖组)各12名,分别以随机顺序完成平地行走和不同高度(4,11,15 cm)障碍物的跨越测试。使用Qualisys运动捕捉系统与Kistler测力台采集运动学与动力学数据。采用双因素(2组别*4动作类型)重复测量方差分析,对各指标进行统计分析。结果与结论:①肥胖组比普通组步速更低(P<0.05),跨越11 cm与15 cm障碍时第一单支撑期占比减小,第二双支撑期占比增加(P<0.05);②在平地行走时,普通组的内外方向动态稳度大于肥胖组(P<0.05);③在跨越4 cm障碍时,肥胖组前后方向动态稳度低于普通组(P<0.05);④在跨越11 cm障碍时,两组前后方向动态稳度无显著性差异(P>0.05),而内外方向差异有显著性意义(P<0.05);⑤在跨越15 cm障碍时,肥胖组动态稳度低于普通组(P<0.05);⑥提示肥胖使人体在跨越障碍过程中对身体的控制能力下降,动态稳定性降低,发生跌倒的风险较普通人群更高;此外,相较于平地行走,跨越障碍时肥胖组稳定性下降较普通人群更为显著。