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Original signals 

Original signals 

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Thesis
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Muscles are the key drivers in any human movement. Since the muscles generate the forces and consequently the impulses to move the athlete from one position to another, it can be useful to study the muscle activity during sports movements to help with optimisation of technique, injury prevention and performance enhancements. Due to recent advances...

Citations

... Though not in straight walking, Sigward and Powers (2006) reported that females had higher muscle activation of the quadriceps, medial hamstring, and lateral hamstring during side-step cutting as compared to males. The muscle activation of the lower limb varies in its magnitude, frequency, and duration with respect to gait cycle (Di Nardo et al., 2015;Howard, 2016). In our study, as shown in Figs. 6 and 7, although the muscle activation between male and female group showed significant differences in almost muscle channels, there are larger difference between two groups in the muscles that are activated at each gait phase. ...
... In particular, our findings showed that the variation of muscle activation of female group increases or decreases more rapidly than male group. This finding reported with the significantly higher ankle joint detected in females, compared to males (Di Nardo et al., 2015;Howard, 2016). Fig. 8 shows the performance evaluation when the gait phase was classified (scenario IV) and when the entire gait cycle was considered (scenario V). ...
Article
This study aims to propose a novel approach for gender recognition using best feature subset based on recursive feature elimination (RFE) in normal walking. This study has focused on the analysis of gait characteristics by distinguishing the gait phases as initial contact (IC), Mid-stance (MS), Pre-swing, and swing (SW), and collected the large number of gait to improve the reliability of quantitative assessment of natural variability associated with muscle activity during free walking. The gait system was designed using pressure and a tri-axis accelerometer sensor, and a 9-channel electromyography sensor for measuring the data. Gender recognition method was proposed using support vector machine (SVM) and random forest (RF) based on RFE to determine best feature subset. Statistical results show that effects of gender-based differences on gait characteristic including temporal, kinematics, and muscle activity were investigated. The temporal parameters of stride time and gait cycle (%) in the gait phases of IC, MS, and SW were significantly different between females and males (p<0.01). The females exhibited both a lower angle and a root mean square acceleration of the knee joint as compared to the males, and there was a clear gender-based difference with respect to knee angle movement. In addition, most muscle activation measurements in the females were larger than those of the males with respect to the gait phases. Gender classification result shows that SVM-RFE was 99.11% (SVM classifier) and RF-RFE was 98.89% (SVM and RF classifier), having powerful performance.
... It also accounts for about sixty percent of the whole gait cycle [5]. propulsive phases [4,6]. The braking phase can be defined as the portion of stance from initial contact (IC), or heel strike, to the point at which the leg is positioned just below the hip joint [4,7]. ...
... Phases of Running gait[6]. ...
Article
Anterior cruciate ligament (ACL) injuries are among the most common injuries experienced by athletes in the United States. Even after reconstruction surgery individuals have been known to develop complications much later in life, including long-term or permanent alterations to their gait, which may lead to early-onset knee osteoarthritis. This thesis work sought to define these alterations as they pertain specifically to running. Using results and parameters from previous studies, the goal of this study is to compare muscle force production strategies, as they relate to ACL force and strain, of injured and non-injured individuals. These values, muscle forces and ACL forces and strains, were obtained using OpenSim, which is a free computational modeling software developed by Stanford University. Running trials were broken down into cycle phases, and force and strain values were analyzed as such. After averages were calculated for the injured and non-injured groups, two-sample t-tests were performed to determine significant differences between the two groups for each gait phase. After analysis of the results, it was found that there were significant differences between the two groups concerning muscle force production strategies but not concerning ACL forces and strains. However, injured subjects experienced higher peak force on the ACL at the second peak of motion as opposed to the first peak at which the non-injured group experienced a higher peak force. Therefore, because of the significant differences in muscle force production strategies and peak force values, it can be said that injured individuals adopt an altered pattern of running when compared to non-injured individuals. However, based on this investigation, no correlations between muscle force production and ACL force and strain can be defined. A larger sample size must be employed to confirm these results.
Article
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The aim of this study was to evaluate the correlations of anthropometric, body composition, and somatotype variables with the lifting performance of six national male junior weightlifters (mean ± SD: age 15.67 ± 1.97 years, height 161.7° 2.1 cm, and weight 60.77° 3.1kg). The subject volunteered for and gave written informed consent to participate in this study, which was approved by Ho Chi Minh city Sports University and Ho Chi Minh city National Sports Training Center. Results showed that the snatch and clean and jerk record significantly correlated with thumb length, shoulder width, hip width, and chest circumference (P < 0.05). The results also revealed that the clean and jerk records and snatch records significantly correlated with fat-free mass (r= 0.840 and r = 0.374; P < 0.05) as well as muscle mass (r = 0.871 and r = 0.838; P < 0.05). There were strong correlations significantly existing between performance (snatch, and clean and jerk record) and Mesomorphs (r = from 0.984 to 0.965) and strong correlations between performance (snatch, and clean and jerk record) and Endomorphs but that were not statistical significant (r = −0.677–−0.741); there were no correlations significantly different (P > 0.05) between performance (snatch, and clean and jerk record) and Ectomorphs (r = −0.22–−0.27). These findings indicate that these variables should be used to evaluate the effects of training and to predict performance for Viet Nam elite male junior weightlifters.
Book
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International Journal of Health, Physical Education and Computer Science in sports ISSN 2231-3265 (On-line and Print) ISRA Journal Impact factor is 6.997. Journal published Quarterly for the months of March, June, September and December. IJHPECSS is refereed Journal. Index Journal of Directory of Research Journal Indexing, J-Gate, 120R etc. International Journal of Health, Physical Education and Computer Science in Sports is multidisciplinary peer reviewed journal, mainly publishes original research articles on Health, Physical Education and Computer Science in Sports, including applied papers on sports sciences and sports engineering, computer and information, health managements, sports medicine etc. The International Journal of Health, Physical Education and Computer Science in sports is an open access and print International journal devoted to the promotion of health, fitness, physical Education and computer sciences involved in sports. It also provides an International forum for the communication and evaluation of data, methods and findings in Health, Physical education and Computer science in sports. The Journal publishes original research papers and all manuscripts are peer review. Index Journal of Directory of Research Journal Indexing and J-Gate etc. The Indian Federation of Computer Science in Sports has been set up the objectives of Dissemination of scientific knowledge concerning computer science in sport and Physical Education. Providing a forum for the exchange of ideas among the Physical Educationists,Coaches,Sports Experts Etc. It is a Peer Reviewed (Refereed) International Research Journal.