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gait analysis in swine,sheep,and goats after neurologic injury:a literature review

Neural Regeneration Research 2023年第9期18卷 1917-1924页

作者： Jacob W.Sveum Raveena R.Mishra Taylor L.Marti Jalon M.Jones Daniel J.Hellenbrand Amgad S.Hanna Department of Neurological Surgery University of Wisconsin School of Medicine and Public Health(UWSMPH)MadisonWIUSA

Medical research on neurologic ailments requires representative animal models to validate treatments before they are translated to human clinical trials.Rodents are the predominant animal model used in neurological research despite limited anatomic and physiologic similarities to humans.As a result,functional testing designed to assess locomotor recovery after neurologic impairment is well established in rodent models.Comparatively,large r,more clinically relevant models have not been as well studied.To achieve similar locomotor testing standardization in larger animals,the models must be accessible to a wide array of researchers.Non-human primates are the most relevant animal model fo r translational research,however ethical and financial barriers limit their accessibility.This review focuses on swine,sheep,and goats as large animal alternatives for transitional studies between rodents and non-human primates.The objective of this review is to compare motor testing and data collection methods used in swine,sheep,and goats to encourage testing standardization in these larger animal models.The PubMed database was analyzed by searching combinations of swine,sheep,and goats,neurologic injuries,and functional assessments.Findings were categorized by animal model,data collection method,and assessment design.Swine and sheep were used in the majority of the studies,while only two studies were found using goats.The functional assessments included open pen analysis,treadmill walking,and guided free walking.Data collection methods included subjective behavioral rating scales and objective tools such as pressure-sensitive mats and image-based analysis software.Overall,swine and sheep were well-suited for a variety of assessment designs,with treadmill walking and guided free walking offering the most consistency across multiple trials.Data collection methods varied,but image-based gait analysis software provided the most robust analysis.Future studies should be conducted to standardize functional testing methods after neurolo

关键词： functional testing gait analysis goats large animals neurologic injury sheep spinal cord injury swine

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Study on the correlation between early three-dimensional gait analysis and clinical efficacy after robot-assisted total knee arthroplasty

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Chinese Journal of Traumatology 2023年第2期26卷 83-93页

作者： Rui He Ran Xiong Mao-Lin Sun Jun-Jun Yang Hao Chen Peng-Fei Yang Liu Yang Center for Joint Surgery Southwest HospitalThird Military University(Amy Medical University)Chongqing400038China

Purpose:Robot-assisted technology is a forefront of surgical innovation that improves the accuracy of total knee arthroplasty (TKA).But whether the accuracy of surgery can improve the clinical efficacy still needs further research.The purpose of this study is to perform three-dimensional (3D) analysis in the early postoperative period of patients who received robot-assisted total knee arthroplasty (RATKA),and to study the trend of changes in gait parameters after RATKA and the correlation with the early clinical efficacy.Methods:Patients who received RATKA in the Center of Joint Surgery,the First Hospital Affiliated to Army Military Medical University from October 2020 to January 2021 were included.The imaging parameters,i.e.,hip-knee-ankle angle,lateral distal femoral angle,medial proximal tibial angle,posterior condylar angle were measured 3 months post-TKA.The 3D gait analysis and clinical efficacy by Western Ontario Mac Master University Index (WOMAC) score were performed pre-TKA,3 and 6 months post-TKA.The differences in spatiotemporal parameters of gait,kinetic parameters,and kinematic parameters of the operated limb and the contralateral limb were compared.The correlation between gait parameters and WOMAC scores was analyzed.Paired samplet-test and Wilcoxon rank-sum test were used to analyze the difference between groups,and Spearman correlation coefficient was used to analyze the correlation.Results:There were 31 patients included in this study,and the imaging indexes showed that all of them returned to normal post-TKA.The WOMAC score at 3 months post-TKA was significantly lower than that pre-TKA,and there was no significant difference between at 3 and 6 months.The 3D gait analysis results showed that the double support time of the operated limb reduced at 3 and 6 months (allp < 0.05),the maximum extension and maximum external rotation of the knee joint increased at stance phase,and the maximum flexion angle,the range of motion and the maximum external rotation increased at swing phase.Compared with the p

关键词： Total knee arthroplasty Robot gait analysis Knee joint Osteoarthritis Correlation study

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Efficient gait analysis Using Deep Learning Techniques

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Computers, Materials & Continua 2023年第3期74卷 6229-6249页

作者： K.M.Monica R.Parvathi School of Computer Science and Engineering Vellore Institute of TechnologyChennai600117India

Human Activity Recognition(HAR)has always been a difficult task to tackle.It is mainly used in security surveillance,human-computer interaction,and health care as an assistive or diagnostic technology in combination with other technologies such as the Internet of Things(IoT).Human Activity Recognition data can be recorded with the help of sensors,images,or smartphones.Recognizing daily routine-based human activities such as walking,standing,sitting,etc.,could be a difficult statistical task to classify into categories and hence 2-dimensional Convolutional Neural Network(2D CNN)MODEL,Long Short Term Memory(LSTM)Model,Bidirectional long short-term memory(Bi-LSTM)are used for the classification.It has been demonstrated that recognizing the daily routine-based on human activities can be extremely accurate,with almost all activities accurately getting recognized over 90%of the time.Furthermore,because all the examples are generated from only 20 s of data,these actions can be recognised fast.Apart from classification,the work extended to verify and investigate the need for wearable sensing devices in individually walking patients with Cerebral Palsy(CP)for the evaluation of chosen Spatio-temporal features based on 3D foot trajectory.Case-control research was conducted with 35 persons with CP ranging in weight from 25 to 65 kg.Optical Motion Capture(OMC)equipment was used as the referral method to assess the functionality and quality of the foot-worn device.The average accuracy±precision for stride length,cadence,and step length was 3.5±4.3,4.1±3.8,and 0.6±2.7 cm respectively.For cadence,stride length,swing,and step length,people with CP had considerably high inter-stride variables.Foot-worn sensing devices made it easier to examine gait Spatio-temporal data even without a laboratory set up with high accuracy and precision about gait abnormalities in people who have CP during linear walking.

关键词： Human activity recognition neural networks gait analysis wearable sensors kinetic analysis cerebral palsy

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Sensor-Based gait analysis for Parkinson’s Disease Prediction

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Intelligent Automation & Soft Computing 2023年第5期36卷 2085-2097页

作者： Sathya Bama B Bevish Jinila Y Sathyabama Institute of Science and Technology Chennai600119Tamil NaduIndia

Parkinson’s disease is identiﬁed as one of the key neurodegenerative disorders occurring due to the damages present in the central nervous system.The cause of such brain damage seems to be fully explained in many research studies,but the understanding of its functionality remains to be impractical.Speciﬁcally,the development of a quantitative disease prediction model has evolved in recent decades.Moreover,accelerometer sensor-based gait analysis is accepted as an important tool for recognizing the walking behavior of the patients during the early prediction and diagnosis of Parkinson’s disease.This type of minimal infrastructure equipment helps in analyzing the Parkinson’s gait properties without affecting the common behavioral patterns during the clinical practices.Therefore,the Accelerometer Sensor-based Parkinson’s Disease Identi-ﬁcation System(ASPDIS)is introduced with a kernel-based support vector machine classiﬁer model to make an early prediction of the disease.consequently,the proposed classiﬁer can easily predict various severity levels of Parkinson’s disease from the sensor data.The performance of the proposed classiﬁer is com-pared against the existing models such as random forest,decision tree,and k-near-est neighbor classiﬁers respectively.As per the experimental observation,the proposed classiﬁer has more capability to differentiate Parkinson’s from non-Parkinson patients depending upon the severity levels.Also,it is found that the model has outperformed the existing classiﬁers concerning prediction time and accuracy respectively.

关键词： Brain disorders gait analysis Parkinson’s disease support vector machine classiﬁer healthcare system

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gait analysis of children with spastic hemiplegic cerebral palsy

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Neural Regeneration Research 2012年第20期7卷 1578-1584页

作者： Xin Wang Yuexi Wang Department of Human Sports Science Shenyang Sport University Shenyang 110102 Liaoning Province China Recuperate Center Shengjing Hospital of China Medical University Shenyang 110021 Liaoning Province China

An experiment was carried out in the key laboratory for Technique Diagnosis and Function Assessment of Winter Sports of China to investigate the differences in gait characteristics between healthy children and children with spastic hemiplegic cerebral palsy. With permission of their parents, 200 healthy children aged 3 to 6 years in the kindergarten of Northeastern University were enrolled in this experiment. Twenty children aged 3 to 6 years with spastic hemiplegic cerebral palsy from Shengjing Hospital, China were also enrolled in this experiment. Standard data were collected by simultaneously recording gait information from two digital cameras. DVracker was used to analyze the standard data. The children with hemiplegic cerebra palsy had a longer gait cycle, slower walking speed, and longer support phase than did the healthy children. The support phase was longer than the swing phase in the children with hemiplegic cerebral palsy. There were significant differences in the angles of the hip, knee, and ankle joint between children with cerebral palsy and healthy children at the moment of touching the ground and buffering, and during pedal extension. Children with hemiplegic cerebral palsy had poor motor coordination during walking, which basically resulted in a short stride, high stride frequency to maintain speed, more obvious swing, and poor stability.

关键词： gait analysis children spastic hemiplegic cerebral palsy walking hip knee ankle neuralregeneration

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gait analysis combined with the expression of TGF-β1,TGF-β3 and CREB during Achilles tendon healing in rat

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Chinese Journal of Traumatology 2021年第6期24卷 360-367页

作者： Li-Ming Wu Jing-Kun Wang Jun Liu Chao-Chao Fan Yun-Jiao Wang Yan Xiong Department of Orthopaedics Daping HospitalArmy Medical UniversityChongqing400042China Department of Sports Medicine Center State Key Laboratory of TraumaBurn and Combined InjurySouthwest HospitalArmy Medical UniversityChongqing400042China

Purpose:To observe the changes of gait behavior and the expression of wound healing factors of transforming growth factor-β1(TGF-β1),TGF-β3 and cAMP response element binding protein-1(CREB-1)during the healing of Achilles tendon in a rat model,and to investigate whether gait analysis can be used to evaluate the tendon healing.Methods:Achilles tendon of 40 healthy male Sprague-Dawley rats were transected and sutured to establish the Achilles tendon injury(ATI)model.They were randomly divided into 4 groups based on the observational time point at 1,2,4 and 6 weeks after injury(n=10 for each group).Before modeling,9 rats were randomly selected for CatWalk gait analysis,which contained step cycle,single stance time and average speed.Data were recorded as the normal controls.After then,ATI models were established in the left hind limbs of the all 40 rats(ATI group),while the right hind limbs were only cut and sutured without injury of the Achilles tendon(sham operation group).At 1,2,4 and 6 weeks after injury,the gait behavior of the corresponding group of rats(n=9)as observed and recorded by CatWalk platform.After then,the rats were sacrificed and Achilles tendon of both limbs was harvested.The tendon healing was observed by gross anatomy and histological examination,and the protein and mRNA expression of TGF-β1,TGF-β3,CREB-1 were observed by immunohistochemistry and qPCR.The results of tendon gross grading were analyzed by Wilcoxon rank sum test,and other data were analyzed by one-way analysis of variance among multiple groups.Results:Compared with normal controls,all gait indexes(step cycle,single stance time and average speed)were greatly affected following ATI,which however improved with time.The step cycle was significantly lower at 1,2 and 4 weeks after ATI(compared with normal controls,allp0.05).The single stance time of the ATI group was significantly shorter at 1 and 2 weeks after operation((0.078±0.010)s at 1 week,(0.

关键词： Achilles tendon injury Repair gait analysis TGF-β CREB

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Performance of the walking trail making test in older adults with white matter hyperintensities

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World Journal of Psychiatry 2024年第1期14卷 102-110页

作者： Hong-Yi Zhao Zhi-Qiang Zhang Yong-Hua Huang Hong Li Fang-Yuan Wei Department of Neurology No.984 Hospital of PLABeijing 100094China Department of Neurology The Seventh Medical Center of PLA General HospitalBeijing 100700China Mental Health Institute of Inner Mongolia Autonomous Region The Third Hospital of Inner Mongolia Autonomous RegionHohhot 010010Inner Mongolia Autonomous RegionChina Department of Neurosurgery No.984 Hospital of PLABeijing 100094China Department of Hand and Foot Surgery Beijing University of Chinese Medicine Third Affiliated HospitalBeijing 100029China Engineering Research Center of Chinese Orthopaedic and Sports Rehabilitation Artificial Intelligent Ministry of EducationBeijing 100029China

BACKGROUND Several studies have reported that the walking trail making test(WTMT)completion time is significantly higher in patients with developmental coordination disorders and mild cognitive impairments.We hypothesized that WTMT performance would be altered in older adults with white matter hyperintensities(WMH).AIM To explore the performance in the WTMT in older people with WMH.METHODS In this single-center,observational study,25 elderly WMH patients admitted to our hospital from June 2019 to June 2020 served as the WMH group and 20 participants matched for age,gender,and educational level who were undergoing physical examination in our hospital during the same period served as the control group.The participants completed the WTMT-A and WTMT-B to obtain their gait parameters,including WTMT-A completion time,WTMT-B completion time,speed,step length,cadence,and stance phase percent.White matter lesions were scored according to the Fazekas scale.Multiple neuropsychological assessments were carried out to assess cognitive function.The relationships between WTMT performance and cognition and motion in elderly patients with WMH were analyzed by partial Pearson correlation analysis.RESULTS Patients with WMH performed significantly worse on the choice reaction test(CRT)(0.51±0.09 s vs 0.44±0.06 s,P=0.007),verbal fluency test(VFT,14.2±2.75 vs 16.65±3.54,P=0.012),and digit symbol substitution test(16.00±2.75 vs 18.40±3.27,P=0.010)than participants in the control group.The WMH group also required significantly more time to complete the WTMT-A(93.00±10.76 s vs 70.55±11.28 s,P<0.001)and WTMT-B(109.72±12.26 s vs 82.85±7.90 s,P<0.001).WTMT-A completion time was positively correlated with CRT time(r=0.460,P=0.001),while WTMT-B completion time was negatively correlated with VFT(r=-0.391,P=0.008).On the WTMT-A,only speed was found to statistically differ between the WMH and control groups(0.803±0.096 vs 0.975±0.050 m/s,P<0.001),whereas on the WTMT-B,the WMH group exhibited a significantly lower speed(0.778±0.111 vs 0.970±0.053

关键词： White matter hyperintensities Cognitive dysfunction Motor deficits gait analysis Trail making test Small vessel disease

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Spinal alignment evolution with age:A prospective gait analysis study

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World Journal of Orthopedics 2017年第3期8卷 256-263页

作者： Sébastien Pesenti Benjamin Blondel Emilie Peltier Elke Viehweger Vincent Pomero Guillaume Authier Stéphane Fuentes Jean-Luc Jouve Pediatric orthopedics Timone Enfants Aix-Marseille University Institute of Movement Sciences (CNRS UMR 7287) gait analysis Laboratory Hopital Timone Enfants Aix-Marseille University Spine Unit Hopital de la Timone Spine unit Timone Aix-Marseille University Neurosurgery Timone Enfants Aix-Marseille University

AIM To describe,using gait analysis,the development of spinal motion in the growing child.METHODS Thirty-six healthy children aged from 3 to 16 years old were included in this study for a gait analysis(9m-walk).Various kinematic parameters were recorded and analyzed such as thoracic angle(TA),lumbar angle(LA)and sagittal vertical axis(SVA).The kinetic parameters were the net reaction moments(N.m/kg)at the thoracolumbar and lumbosacral junctions.RESULTS TA and LA curves were not statistically correlated to the age(respectively,P=0.32 and P=0.41).SVA increased significantly with age(Panalysis showed that during growth,a decrease of torsional constraint occurs while an increase of sagittal constraint is observed.These changes in spine biomechanics are related to the crucial role of the trunk for bipedalism acquisition,allowing stabilization despite lower limbs immaturity.With the acquisition of mature gait,the spine will mainly undergo constraints in the sagittal plane.

关键词： Sagittal balance Spine biomechanics gait analysis Thorcic kyphosis Spine growth

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One hundred marathons in 100 days:Unique biomechanical signature and the evolution of force characteristics and bone density

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Journal of Sport and Health Science 2022年第3期11卷 347-357页

作者： Pieter Van den Berghe Bastiaan Breine Ella Haeck Dirk De Clercq Department of Movement and Sports Sciences Ghent UniversityGhent 9000Belgium

Background:An extraordinary long-term running performance may benefit from low dynamic loads and a high load-bearing tolerance.An extraordinary runner(age=55 years,height=1.81 m,mass=92 kg) scheduled a marathon a day for 100 consecutive days.His running biomechanics and bone density were investigated to better understand successful long-term running in the master athlete.Methods:Overground running gait analysis and bone densitometry were conducted before the marathon-a-day challenge and near its completion.The case’s running biomechanics were compared pre-challenge to 31 runners who were matched by a similar foot strike pattern.Results:The case’s peak vertical loading rate(Δx=-61.9 body weight(BW)/s or-57%),peak vertical ground reaction force(Δx=-0.38 BW or-15%),and peak braking force(Δx=-0.118 BW or-31%) were remarkably lower(p<0.05) than the control group at~3.3 m/s.The relatively low loading-related magnitudes were attributed to a remarkably high duty factor(0.41) at the evaluated speed.The foot strike angle of the marathoner(29.5°) was greater than that of the control group,affecting the peak vertical loading rate.Muscle powers in the lower extremity were also remarkably low in the case vs.controls:peak power of knee absorption(Δx=-9.16 watt/kg or-48%) and ankle generation(Δx=-3.17 watt/kg or-30%).The bone mineral density increased to 1.245 g/cm;(+2.98%) near completion of the challenge,whereas the force characteristics showed no statistically significant change.Conclusion:The remarkable pattern of the high-mileage runner may be useful in developing or evaluating load-shifting strategies in distance running.

关键词： Bone gait analysis Ground reaction force Load Running

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Effect of Dual-Tasks Walking on Human gait Patterns

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Journal of Bionic Engineering 2022年第4期19卷 991-1002页

作者： Xiyuan Zhang Ke Rong Guangming Chen Aihong Ji Yawei Song Lab of Locomotion Bioinspiration and Intelligent Robots College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and Astronautics29 Yudao StreetNanjing 210016China Olympic College Communication University of China NanjingNanjing 211162China Department of Sports Health Sciences Nanjing Sport Institute8 Linggusi RoadNanjing 210014China Centre of Scientific Experiment Nanjing Sport InstituteNanjing 210014China

A human gait pattern conformed to the law of the inverted pendulum and could be described by the movement of its center of mass(COM).A sinusoidal function based on an inverted pendulum was used to plan the COM trajectory of humanoid robots for gait control.Therefore,studying the human dual-tasks gait pattern is essential for improving the gait adaptability of humanoid robots.Many well-known humanoid robot prototypes can complete stable walking,running,jumping,and other movements closely mimicking human beings.This study provides a theoretical reference for the gait planning and design of humanoid robots by comparing differences in the stride time,cadence,step length,step width,stride length,walking speed and COM movement during single-and dual-tasks walking.Results showed no significant difference in the time parameters.In dual-tasks walking,the walking speeds decreased(P=0.001)and the COM sidewise movement increased,indicating an enhancement in the automatic motion rhythm in cognitive tasks.Humans can easily select new different speeds to better adapt to the competition of attention resources.To enhance the adaptability of humanoid robots to the COM offset,the independent motion of the hip joint separated from the trunk and lower limbs must be considered in the robot design.

关键词： gait analysis Kinematics COM trajectory Kinesiology

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