JOURNAL OF ADVANCED SPORT TECHNOLOGY
Year:2018 | Volume:1 | Issue:3 |Papers Count:7

I would like to express my sincere gratitude and deep appreciation to the esteemed reviewers, authors andeditorial members for their great support and encouragement to publish the third issue of the Journal ofAdvanced Sport Technology (JAST). Today, the sport technology is growing very fast and we look forwardto achieving highest scientific standard in our journal. As Editor-in Chief, and I take the responsibility ofsustaining and building upon the Journal's quality and success very earnestly.JAST aim is strive to publish the most advanced scientific articles in the realm of sport technology. Wewelcome you to submit original/technical manuscripts and we guarantee fast and peer-review process.To submit a manuscript or to view the journal home page, please visit our official website and submit yourmanuscript.

Physical activity monitoring is important to record all the daily physical activities for the purpose of fitness andhealth. This motive caused a tremendous progress in the wearable technologies. Current project encompasses 9degree of freedom inertial sensor (triaxial accelerometer, gyroscope, and magnetometer) with Wi-Ficommunication in a very small wearable data logger integrated with a web server. It is applicable as on-bodysensor network for more intricate activity recognition applications. Inertial sensor data measured and transferredto either a custom designed web server in online mode or stored in a MicroSD memory card in the offline mode.Wearable data logger with 18×30×30 mm (W×L×H) and 20 gram weight designed and produced. The systemwas tested at 200 Hz during online mode and acceptable precision and noise ascertained. Current deviceprovided movement recording with wireless communication in small size and low cost to be applicable in thehealth and fitness applications.

Tibialis posterior muscle dysfunction leading to adult acquired flatfoot deformity. Tibialis posterior muscledysfunction is commonly treated with a flexor digitorum longus tendon transfer to the tubercle of navicularbone. In recent years, the dynamic computer modeling has been used to predict the results of surgical andtreatment. The aim of this study was to provide a dynamic computer model of flexor digitorum longus tendontransfer for predicting the outcome of flat foot treatment. In this study the 3D model of ankle joint, whichconsists of 29 bones and 12 muscles was developed in OpenSim. Using software, ankle plantar flexion moment,metatarsophalangeal joints moment and inversion moment of subtalar joint were drawn. After flexor digitorumlongus tendon transfer, there were decreases ankle plantar flexion moment (6.7%), metatarsophalangeal jointsmoment (45%) and inversion moment of subtalar joint (34%). Plantar flexion moment reduction caused nosignificant changes in the ankle joint, but reduction in metatarsophalangeal joints could limit heel lift duringpropulsive phase in walking or running. A decreased inversion moment at the subtalar joint could alter thebiomechanics of lower extremities.

The purpose of this study was to process and analysis of the electroencephalography signal to assess the effectof sport advertisement on the customers. Forty university student athletes, which were interested anduninterested to the Nike brand were selected (all right handed with 18-25 years old). They were 10 maleinterested athletic, 10 male uninterested athletes, 10 female interested athletes and 10 female uninterestedathletes. When brain waves were registered by the electroencephalography device, Brian mapping software andmath analysis used to change information to numeric data. Data analyzing by variant analysis test with RepeatedMeasures ANOVA and LSD test was done. The results showed that the activity of alpha, beta and theta wavesin the interested group had a significant increase. Moreover, the activity of alpha and theta in uninterested groupwas not significantly different. Results showed that it's possible to find out the effect of sport advertisementNike brand on brain waves (alpha, beta, delta and theta) by registering the customer's brain waves byelectroencephalography. Moreover, by processing and analyzing the signals, we conclude that advertisementsincrease the amount of analytic and focused thinking, as well as arousal, and can play a significant role intodecision making.

Aim: The aim of this study was to determine the aerobic threshold by means of the maximum distance method(Dmax) based on heart rate performance curve (HRPC) in active young men.Methodology: For this purpose, in a laboratory trial, 35 active young men (Age 22.03 ± 2.20 years, Height176.26 ± 6.65 cm, Weight 68.94 ± 9.56 kg and body fat 17.8 ± 3.41%) were selected on a targeted basis assubjects and executed the Conconi standard protocol. The aerobic threshold of the subjects was determined bymeans of criterion method (respiratory gas analysis) and maximum distance model based on HRPC. Bland–Altman plots, Intraclass Correlation Coefficient and Paired Sample T-test were used for data analysis.Results: The aerobic threshold of all of the subjects was obtained by the means of the HRPC using the methodof Dmax. However, supplementary results revealed that moderate agreement exist between two methods (±1.96;CI = 95%, -35.9 to +32.8 b/min). Similarly, significant but moderate Intraclass Correlations observed (ICC=0.312), while there was no significant differences exists between two methods (p= 0.599).Conclusion: The application of the Dmax method based on HRPC model in predicting of the aerobic thresholdgives us relatively good results. Therefore, the HRPC model can be useful method for predicting the aerobicthreshold.

The 20m shuttle run test (20mSRT) is applied for assessing cardiorespiratory fitness, and is included in manyfitness test batteries, such as Eurofit, Alpha-fit, FitnessGram, etc.The aim of this study was to validate software, specially designed by us (BeepShuttle Junior), which administersthe 20mSRT, calculates the maximal oxygen uptake (VO2max) in children and adolescents from 6 to 17 years ofage, and classifies them in accordance with comprehensive gender- and age-specific international norms. Thissoftware supports the administration of the 20mSRT with an appropriate animation and audio signals. The mostrecent VO2max reference standards were combined in order to assess cardiorespiratory fitness. The results canbe exported in an Excel compatible CSV file for additional analyses.A total of 63 children (31 girls and 32 boys) from London, aged from 6 to 9, were tested with the BeepShuttleJunior software, which calculated VO2max and percentile scores for each child.The boys performed significantly better than girls in cardiorespiratory fitness (47.7 ± 3.1 vs 45.9 ± 2.2ml/kg/min respectively, p < 0.05), but the mean percentile scores for boys and girls were similar (53.2 ± 23.6and 53.9 ± 22.1 respectively).This software computes the percentile score for the exact age (years, months) and the exact VO2max of eachparticipant by linear interpolation. The individual results and assessments completely matched the interpolatednormative data tables.

A growing body of evidence indicates that different neural control strategies may exist for human contractions. Thisbrief systematic review focuses on the specificity of the control strategy used by the central nervous system duringeccentric contractions. The findings of previous studies indicate the effects of eccentric exercise on cortical regionsand their cooperation as functional networks that support motor functions. Articles were searched ininternational databases including PubMed, Web of Science and Google Scholar. After initial screening anddeleting irrelevant studies, 10 studies were chosen for the analysis. Studies were assessed and analyzedmethodologically. Proper interventions were selected according to the least error criteria or the degree ofstrength. There is lack of study investigating the effects of muscle contraction types (isometric, concentric andeccentric) on the central nervous system, which is reflected in the EEG. Then, further investigations shouldanswer this question: “how does the EEG-measured brain activity for the following bands (delta 1-4 Hz, theta 4-8 Hz, alpha 8-13 Hz and beta 13-20 Hz) change during acute eccentric and concentric contractions”. Moreover,this review highlighted that (1) Few neuroimaging studies have explored the brain activation during eccentricactions, (2) Brain activity in motor-related cortices is higher during eccentric than concentric actions and (3)Prefrontal cortex appears to be highly involved in the regulation of cortical motor drive during eccentriccontractions.