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1.
浅谈肌肉力量的测试及应用   总被引:6,自引:0,他引:6  
肌肉力量是人体运动的基本素质 ,人体的各种活动均以肌肉的收缩为动力 ,牵拉骨杠杆 ,围绕关节枢纽进行。目前 ,肌肉力量测定以Cybex等动肌力测量系统应用最为广泛。了解和掌握肌肉力量的测试手段及应用 ,对探讨肌肉力量与肌肉形态间的内在关系 ,科学指导体育训练具有非常重要的意义。  相似文献   

2.
为了科学地评价人体握力肌肉力量测试数据,应用人体肌肉力量测试系统和数据挖掘技术,对人体握力肌肉力量数据进行分析.研究发现,采用肌肉力量F-T变化过程曲线,可定量地反映人体握力的最大力量、启动力量、相对力量等参数,通过应用ID3算法、决策树,可以确定出不同测试参数的根节点,为选择人体握力Gain(K3)指标,作为评价人体握力肌肉力量指标,提出科学依据.  相似文献   

3.
人体测量学     
G804.49 20032562肌肉形态特征与肌肉力量相关研究=The relativeresearch between force and mophology ofmuscle[刊,中,A]/张海平(沈阳体育学院)//沈阳体育学院学报.-2003(1).-44-46,53参43(SJ)肌肉力量//人体测量//研究 肌肉力量是人体运动的基本素质,与肌肉形态有关,更有赖于肌肉的横断面积大小。测量人体肌肉的形态指标或肌肉的横断面积,推测肌肉力量,并对不同人群的肌肉力量进行比较,探索肌肉形态特征与肌肉力量的内在规律,这对运动员训练水平的评估、运动损伤的治疗与康复及科学选材等方面都具有十分重要的意义。  相似文献   

4.
人体肌肉力量自然发展研究进展   总被引:4,自引:0,他引:4  
介绍了人体肌肉力量自然发展的年龄规律和性别特点,分别讨论了影响人体肌肉力量自然发展的肌肉横断面积、神经支配等生理学因素的作用机制。  相似文献   

5.
采用实时数据采集板和计算机技术以及Visual C++编程工具,研制了人体肌肉力量数据分析系统。该系统能够快速采集人体肌肉力量数据,并以图形方式显示人体肌肉力量变化过程,并可计算出人体最大肌肉力量Fmax,Vmax,Stkm等参数。系统采用中文界面设计,具有操作简便、测试数据精确、图形分辨清晰等优点,为分析和评价不同专项运动员肌肉力量数据提供了一种智能化的分析系统。  相似文献   

6.
肌肉力量是人体进行各项运动的基础,因为骨骼肌收缩产生的力量是人体运动的动力来源,肌肉力量的大小与肌肉的体积、初长度、肌肉类型、收缩方式、收缩速度、神经控制等多种因素有关。肌肉力量训练可以有效地刺激肌肉增加其力量或改变其特性,达到提高运动索质的目的。身体各项素质相互联系、相互作用,力量素质是速度、耐力、柔韧、灵敏、平衡等运动索质的基础,是其它素质发展的必:要条件,良好的肌肉力量可增加关节的稳定性,提高动作的平衡能力,使神经肌肉系统、骨骼、关节和韧带能够承受大负荷、高强度的运动和训练,能够有效降低和防止运动损伤。  相似文献   

7.
采用实时数据采集板和计算机技术,以及VisualC++编程工具,研制了人体背力、握力肌肉力量数据分析系统。结果表明,该系统能够快速采集人体背力、握力肌肉力量数据,并以图形显示人体肌肉力量变化过程。同时,可计算人体最大肌肉力量Fmax、Vmax、STkm等测试参数。由于系统采用中文界面设计,具有操作简便、测试数据精确、图形分辨清晰等优点,为更精确分析人体背力、握力肌肉数据,以及专业运动员的机能评定和全民健身、康复医学研究,提供了一种智能化的分析系统。  相似文献   

8.
本为了检验人体失水降体重对肌肉力量及耐力的影响.对7位受试进行了测试研究。测试包括失水前、失水后、补充水分后.人的体重、力量和耐力及血样等数据变化。结果表明,在失水使体重下降4%左右,3.5小时后,人体的肌肉力量和耐力没有受到多大影响。  相似文献   

9.
肌肉力量是指 人体肌肉工作时依靠肌肉紧张克服或对抗阻力的能力。对任何运动员来说,发展肌肉  相似文献   

10.
对人体各个年龄段肌肉力量的发展进行研究,可以观察到少年儿童神经肌肉装置系统形态机能的形成。而研究结果对劳动生理学,运动生理学,年龄生理学,教育学都有重要的职业实用价值。一般说力量的大小是受遗传、意见、情绪制约的。我们用测量握力的方法研究过苏联秋明地区中小学生和大学生左右两手屈肌的收缩能力,总共调查了3277人。为保证调查结果的可靠性,在每个年龄段都用了98—167人。所得的材料用变异统计方法通过电子计算机进行处理。我们用平均值研究了学生握力的年增长速度同人体测量的主要指标的双相关系数,男女生握力的平均增长指标可见表1。  相似文献   

11.
The maximal isometric force (MIF) of a muscle is directly related to its cross‐sectional area (CSA). Strength training produces an increase in muscular force while muscular hypertrophy becomes appreciable at a later time; in asymmetric sports, training causes significant increases in force and muscular mass of the dominant limb of the athlete. The aim of this study was to analyse the differences in muscular force and trophism between the dominant and non‐dominant forearms in fencers and in controls.

The data of 17 male distance runners (age 21.4±2.4 years, body mass 74.0±5.0 kg, height 180 ± 6 cm) were compared with those of 58 male fencers (age 23.0 ± 6.7 years, body mass 71.9±9.3 kg, height 178 ± 7 cm) drawn from the ranking lists of the National Fencing Committee. They trained for a mean of 11.4±6.0 (range 2–36) years, commencing at 10.7 ± 4.5 years of age.

Cross‐sectional area (muscle plus bone) was estimated in the dominant and non‐dominant forearm using a simplified anthropometric method. Maximal isometric force was determined using a mechanical handgrip dynamometer. The differences in CSA and isometric force between the two limbs and between fencers and controls were tested using paired and unpaired Student's i‐tests, respectively. Significant differences in CSA and maximal force were observed between the dominant and non‐dominant forearm in fencers (both P<0.001) and in controls (P<0.005 and P<0.001, respectively). The fencers showed a greater CSA (P<0.001) and force (P< 0.001) in the dominant forearm compared with the control group. Furthermore, the differences between the dominant and non‐dominant limb of the fencers were significantly greater than the differences between the dominant and non‐dominant limb of the controls (P<0.001 for CSA and P<0.05 for force). No significant differences in stress ratio (force/CSA) were obtained in either group.

The results of this study suggest that asymmetric sports training at submaximal intensities produces significant asymmetries in force and CSA which are independent of technical level and years of training. Despite this, the force/CSA ratio is constant and independent of training.  相似文献   

12.
The purpose of this study was to determine the reliability of maximum voluntary isometric force (MVIF), cross-sectional area (CSA) and force per unit CSA measures, of the first dorsal interosseus (FDI) muscle, using a custom-built dynamometer and ultrasonography. Twenty-seven participants completed MVIF and CSA measurements on two separate occasions under the same conditions. Reliability was determined using paired samples t-tests, systematic bias ratio and ratio limits of agreement (RLoA), intra-class correlation (ICC) and coefficient of variation (CV). MVIF of the FDI muscle (mean ± s; 31.8 ± 7.6 N and 31.6 ± 7.3 N) was not different between trials (= 0.63); RLoA between trials were 1.00 ×/÷ 1.09, ICC = 0.990 and CV = 3.22%. CSA of the FDI muscle (22.6 ± 6.9 and 22.9 ± 6.9 mm2) was also not different between trials (= 0.31); RLoA between trials were 0.98 ×/÷ 1.19, ICC = 0.979 and CV = 6.61%. Force per unit CSA was not different between trials (1.49 ± 0.43 and 1.46 ± 0.44 N·mm2; = 0.18), RLoA were 1.02 ×/÷ 1.17, ICC = 0.985 and CV = 5.76%. The techniques used to determine MVIF and CSA of the FDI muscle were reliable and can be combined to calculate force per unit CSA.  相似文献   

13.
Abstract

To determine if unilateral measures of muscle architecture in the rectus femoris (RF) and vastus lateralis (VL) were related to (and predictive of) sprinting speed and unilateral (and bilateral) force (FRC) and power (POW) during a 30 s maximal sprint on the Woodway Curve 3.0TM non-motorized treadmill (TM). Twenty-eight healthy, physically active men (n = 14) and women (n = 14) (age = 22.9 ± 2.4 years; body mass = 77.1 ± 16.2 kg; height = 171.6 ± 11.2 cm; body-fa t = 19.4 ± 8.1%) completed one familiarization and one 30-s maximal sprint on the TM to obtain maximal sprinting speed, POW and FRC. Muscle thickness (MT), cross-sectional area (CSA) and echo intensity (ECHO) of the RF and VL in the dominant (DOM; determined by unilateral sprinting power) and non-dominant (ND) legs were measured via ultrasound. Pearson correlations indicated several significant (p < 0.05) relationships between sprinting performance [POW (peak, DOM and ND), FRC (peak, DOM, ND) and sprinting time] and muscle architecture. Stepwise regression indicated that POWDOM was predictive of ipsilateral RF (MT and CSA) and VL (CSA and ECHO), while POWND was predictive of ipsilateral RF (MT and CSA) and VL (CSA); sprinting power/force asymmetry was not predictive of architecture asymmetry. Sprinting time was best predicted by peak power and peak force, though muscle quality (ECHO) and the bilateral percent difference in VL (CSA) were strong architectural predictors. Muscle architecture is related to (and predictive of) TM sprinting performance, while unilateral POW is predictive of ipsilateral architecture. However, the extent to which architecture and other factors (i.e. neuromuscular control and sprinting technique) affect TM performance remains unknown.  相似文献   

14.
The aim of the present study was to examine the relationships between muscle cross-sectional area (CSA) and muscular strength in terms of knee extension and flexion, hip extension and flexion, and hip abduction and adduction among well-trained soccer players. Fourteen university soccer players participated in the study, who had previously been divided into two groups based on ability (Group A: above-average ability; Group B: average ability). Maximal isokinetic and concentric muscular strength was measured in knee extension/flexion, hip extension/flexion and hip abduction/adduction using an isokinetic dynamometer at 1.57 and 4.19 rad x s(-1) (3.14 rad x s(-1)) in both the dominant and non-dominant leg. The CSAs of the thigh, gluteus muscles and iliopsoas muscles were calculated based on magnetic resonance imaging. There was no significant difference between the two groups in muscle CSA and isokinetic strength. Although there were some statistically significant differences between the dominant and non-dominant leg in terms of CSA and strength (P < 0.05-0.01), these were small and negligible. Apart from a non-significant relationship between the CSAs of the adductor muscles and hip adductor strength (r < 0.26, N.S.), the CSA of the other muscle groups correlated with maximal isokinetic strength (r = 0.38-0.64, P < 0.05). These results suggest that no difference in muscle characteristics (in terms of muscle CSA and strength) was apparent among well-trained soccer players, even between the dominant and non-dominant leg. There is also a case that the anatomical function of a single (or group of) muscle(s) may not be reflected by the strength-CSA relationship depending on the movements (such as hip adduction-adductor muscle CSA). Thus, further studies are required to develop methods to assess neuromuscular function in relation to muscle morphology among soccer players.  相似文献   

15.
Abstract

The aim of the present study was to examine the relationships between muscle cross-sectional area (CSA) and muscular strength in terms of knee extension and flexion, hip extension and flexion, and hip abduction and adduction among well-trained soccer players. Fourteen university soccer players participated in the study, who had previously been divided into two groups based on ability (Group A: above-average ability; Group B: average ability). Maximal isokinetic and concentric muscular strength was measured in knee extension/flexion, hip extension/flexion and hip abduction/adduction using an isokinetic dynamometer at 1.57 and 4.19 rad·s?1 (3.14 rad·s?1) in both the dominant and non-dominant leg. The CSAs of the thigh, gluteus muscles and iliopsoas muscles were calculated based on magnetic resonance imaging. There was no significant difference between the two groups in muscle CSA and isokinetic strength. Although there were some statistically significant differences between the dominant and non-dominant leg in terms of CSA and strength (P<0.05–0.01), these were small and negligible. Apart from a non-significant relationship between the CSAs of the adductor muscles and hip adductor strength (r<0.26, n.s.), the CSA of the other muscle groups correlated with maximal isokinetic strength (r=0.38–0.64, P<0.05). These results suggest that no difference in muscle characteristics (in terms of muscle CSA and strength) was apparent among well-trained soccer players, even between the dominant and non-dominant leg. There is also a case that the anatomical function of a single (or group of) muscle(s) may not be reflected by the strength—CSA relationship depending on the movements (such as hip adduction-adductor muscle CSA). Thus, further studies are required to develop methods to assess neuromuscular function in relation to muscle morphology among soccer players.  相似文献   

16.
In this pilot study of 16 children, we evaluated the reliability and validity of three accelerometers (Mini-Motionlogger [MML], Computer Science Applications, Inc. Actigraph [CSA], and BioTrainer) as indicators of energy expenditure and vertical ground reaction force. The children wore 2 of each type of monitor while they walked, ran, and performed 2 jumping tasks on a force plate and walked, jogged, and ran on a treadmill. Intrainstrument reliability of the monitors ranged from .64 to .98 across the treadmill tasks and from .69 to .98 across the force plate tasks, with the MML and CSA appearing more consistent than the BioTrainer. Analyses of variance were conducted to compare activity counts with criterion measures (oxygen utilization and force plate scores). All of the monitors generally differentiated among the treadmill tasks, mirroring the change in oxygen utilization. The CSA monitors corresponded more closely to the changes in force plate scores than the BioTrainer or the MML. Simple regression analyses indicated that count scores from all of the monitors were associated with oxygen utilization, with the MML and CSA exhibiting stronger relations (R values = .81 and .83, respectively) than the BioTrainer (R= .60). Similar analyses between the activity monitors and the force plate scores were also significant but the relations were not as strong as for oxygen utilization (R values = .46, .51, and .52, respectively). Based on backward elimination regression analyses, caloric expenditure on the treadmill tasks was predicted significantly with each of the MML (37 and 38% of variance) and CSA (39 and 42% of variance) units when body mass was included in the model. For the BioTrainer counts to provide the best prediction of caloric expenditure, both body mass and height were retained in the model, resulting in 20 and 25% explained variance. Future research to evaluate the utility of accelerometers should employ tasks that prevent the confounding of force and caloric expenditure.  相似文献   

17.
The aim of this study was to determine whether triceps brachii muscle volume can be adequately estimated from a single anatomical cross-sectional area (ACSA) and can the same model be used for prediction after training. Thirty-five healthy male non-athletes (age 21.6 ± 2.5 years, body mass index 24.8 ± 3.5 kg · m(-2)) volunteered for this study. The volumes of the upper arm extensors were calculated from magnetic resonance imaging (MRI) sequence scans and regression models were developed, which were used to predict muscle volumes from single MRI cross-sectional scans taken at different points along the humerus length. The same procedure was repeated after 12 weeks of maximal resistance training of the elbow extensors. Correlation coefficients were calculated for Model A with CSA(max), humerus length (HL), and body mass index (r = 0.919), a model with CSA(50%) and HL (r = 0.922), and a model with CSA(60%) and HL (r = 0.920) (P < 0.001). The standard error of estimate for Model A, Model CSA(50%), and Model CSA(60%) was 8.0%, 7.7%, and 7.8% respectively. Thesame prediction formula can be used for the left arm (r = 0.904). If a single ACSA is used for triceps brachii volume prediction, the best fit is with Model CSA(60%) and HL, both before and after training (r = 0.941). By introducing humerus length into the calculation, we simplify the procedure for volume measurement, since it can be obtained during MRI scanning.  相似文献   

18.
Morphology of the deltoid muscles in elite tennis players   总被引:1,自引:0,他引:1  
The aim of this study was to examine the deltoid muscle properties of the dominant and non-dominant arm of Greek professional male tennis players. Eight male tennis players (mean age 22.0 years, s = 3.2) were subjected to biopsy of the deltoid muscle of both arms. Adenosine triphosphate (ATPase) histochemistry and myosin heavy chain (MHC) composition were performed on the samples with homogenate electrophoresis. No significant differences were observed in the percentage of types I, IIa, IIab, and IIb muscle fibres between the deltoid muscles of the two arms. Types I, IIa, and IIx muscle fibres of the dominant and non-dominant deltoid muscles did not differ significantly for MHC isoform composition. Type IIab muscle fibres showed a similar cross-sectional area (CSA) percentage distribution between the two arms. The CSA percentage for types I, IIa, and IIb muscle fibers did not differ significantly between the dominant and the non-dominant arm. We conclude therefore that regular tennis training probably does not lead to any significant changes in the muscle fibre types of the dominant and non-dominant arms of elite tennis players.  相似文献   

19.
Abstract

The aim of this study was to examine the deltoid muscle properties of the dominant and non-dominant arm of Greek professional male tennis players. Eight male tennis players (mean age 22.0 years, s = 3.2) were subjected to biopsy of the deltoid muscle of both arms. Adenosine triphosphate (ATPase) histochemistry and myosin heavy chain (MHC) composition were performed on the samples with homogenate electrophoresis. No significant differences were observed in the percentage of types I, IIa, IIab, and IIb muscle fibres between the deltoid muscles of the two arms. Types I, IIa, and IIx muscle fibres of the dominant and non-dominant deltoid muscles did not differ significantly for MHC isoform composition. Type IIab muscle fibres showed a similar cross-sectional area (CSA) percentage distribution between the two arms. The CSA percentage for types I, IIa, and IIb muscle fibers did not differ significantly between the dominant and the non-dominant arm. We conclude therefore that regular tennis training probably does not lead to any significant changes in the muscle fibre types of the dominant and non-dominant arms of elite tennis players.  相似文献   

20.
In this study, we analyzed the correlations between hip flexion power; sprint performance, lumbar lordosis (LL) and the cross-sectional area (CSA) of the psoas muscle (PM). Ten young adults performed two sprint tests and isokinetic tests to determine hip flexion power. Magnetic resonance imaging was used to determine LL and PM CSA. There were correlations between hip flexion power, sprint performance, and PM CSA, but LL showed no correlation with any parameter The impact of hip flexion power and LL on sprint stride pattern efficiency was considered. Hip flexion might not have a simple role in the passive knee replacement of the stride pattern; instead, it may be an active parameter. Other investigations are needed to determine the influence of pelvic architecture on sprint performance.  相似文献   

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