Development of a Human Upper Limb Volume Sensor for Biomedical Applications

2015 ◽  
Vol 799-800 ◽  
pp. 923-926
Author(s):  
Long Tao Wang ◽  
Jiao Yang ◽  
Xue Wei Zhang ◽  
Chao Yuan

Muscle volume is an important indicator for the strength of the muscle. Many biomedical scientists use the muscle volume as an index for the athlete muscle power and also the health condition of the patients with muscular problems. The purpose of this study is to develop a sensor to easily and accurately gauge human upper limb muscle volume for biomedical applications. The developed sensor has many advantages for protable measurement of the human limb volume.

Author(s):  
Ghaith Aloui ◽  
Souhail Hermassi ◽  
Nicola Luigi Bragazzi ◽  
Mehrez Hammami ◽  
Yosser Cherni ◽  
...  

This study examined the effects of incorporating 8 weeks of biweekly upper limb loaded plyometric training (elastic band) into the in-season regimen of handball players. Trial participants were assigned between control (n = 15, age: 18.1±0.5 years, body mass: 73.7±13.9 kg) and experimental (n = 14, age: 17.7±0.3 years, body mass: 76.8±10.7 kg) groups. Measures obtained pre- and post- included a cycle ergometer force-velocity test, ball throwing velocity in three types throw, 1-RM bench press and pull-over, and anthropometric estimates of upper limb muscle volumes. Gains in the experimental group relative to controls included absolute muscle power (W) (Δ23.3%; t-test p<0.01; d=0.083), relative muscle power (W.kg-1) (Δ22.3%; t-test p<0.01; d=0.091), and all 3 types of ball throw (Δ18.6%, t-test p<0.01, d=0.097 on jumping shot; Δ18.6%, t-test p<0.01; d=0.101 on 3-step running throw; and Δ19.1%, t-test p<0.01, d=0.072 on standing throw). Furthermore, a significant improvement by time interactions was observed in both groups on 1-RM bench press and pull-over performance. However, upper limb muscle volumes remained unchanged in both groups. We conclude that adding biweekly elastic band plyometric training to standard training improves measures important to game performance. Accordingly, such exercises can usefully be adopted as a part of handball training.


2018 ◽  
Vol 119 (4) ◽  
pp. 1319-1328 ◽  
Author(s):  
Chao Gu ◽  
J. Andrew Pruszynski ◽  
Paul L. Gribble ◽  
Brian D. Corneil

A core assumption underlying mental chronometry is that more complex tasks increase cortical processing, prolonging reaction times. In this study we show that increases in task complexity alter the magnitude, rather than the latency, of the output for a circuit that rapidly transforms visual information into motor actions. We quantified visual stimulus-locked responses (SLRs), which are changes in upper limb muscle recruitment that evolve at a fixed latency ~100 ms after novel visual stimulus onset. First, we studied the underlying reference frame of the SLR by dissociating the initial eye and hand position. Despite its quick latency, we found that the SLR was expressed in a hand-centric reference frame, suggesting that the circuit mediating the SLR integrated retinotopic visual information with body configuration. Next, we studied the influence of planned movement trajectory, requiring participants to prepare and generate either curved or straight reaches in the presence of obstacles to attain the same visual stimulus location. We found that SLR magnitude was influenced by the planned movement trajectory to the same visual stimulus. On the basis of these results, we suggest that the circuit mediating the SLR lies in parallel to other well-studied corticospinal pathways. Although the fixed latency of the SLR precludes extensive cortical processing, inputs conveying information relating to task complexity, such as body configuration and planned movement trajectory, can preset nodes within the circuit underlying the SLR to modulate its magnitude. NEW & NOTEWORTHY We studied stimulus-locked responses (SLRs), which are changes in human upper limb muscle recruitment that evolve at a fixed latency ~100 ms after novel visual stimulus onset. We showed that despite its quick latency, the circuitry mediating the SLR transformed a retinotopic visual signal into a hand-centric motor command that is modulated by the planned movement trajectory. We suggest that the circuit generating the SLR is mediated through a tectoreticulospinal, rather than a corticospinal, pathway.


2012 ◽  
Vol 45 (2) ◽  
pp. 334-341 ◽  
Author(s):  
Meghan E. Vidt ◽  
Melissa Daly ◽  
Michael E. Miller ◽  
Cralen C. Davis ◽  
Anthony P. Marsh ◽  
...  

Author(s):  
Marco Aurélio Ferreira de Jesus Leite ◽  
Jeffer Eidi Sasaki ◽  
Camilo Luis Monteiro Lourenço ◽  
Hugo Ribeiro Zanetti ◽  
Lucas Gonsalves Cruz ◽  
...  

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n2p166 The aim of this study was to develop an upper limb muscle power (PUL) prediction model using the Medicine Ball Throw Test (MBT) in rugby players. Eighteen amateur rugby players underwent the MBT test and the guided bench press exercise at 30, 40, 50 and 60% of 1. Myotest® accelerometer was positioned on the bench press bar to estimate muscle power. Linear regression was used to derive the upper limb muscle power prediction equation from the MBT distance. The residue analysis estimated the residual error of the predicted values using values obtained by Myotest®. Bland-Altman plots were used to verify agreement between actual and predicted upper limb muscle power, both in absolute Watts (W) and relative terms (W/kg of fat-free mass). There were significant correlations between actual and predicted upper limb muscle power (r = 0.834, 0.854, and 0.872) for intensities of 30%, 40% and 50%, respectively. Absolute bias of predicted values was -1.87 W (p <0.05). For muscle power predicted relative to fat-free mass, bias was 0.782 W/kg (p <0.05). Conclusion: The MBT test has high correlation with actual PUL values and it was found that the equation developed in this study has high accuracy to predict PUL in rugby players of both sexes.


Author(s):  
Marco Aurélio Ferreira de Jesus Leite ◽  
Jeffer Eidi Sasaki ◽  
Camilo Luis Monteiro Lourenço ◽  
Hugo Ribeiro Zanetti ◽  
Gustavo Ribeiro da Mota ◽  
...  

Abstract Muscle power is the product of muscle force and velocity, which translates into the ability to produce force in a short time interval. Periodic evaluations of strength and power, coupled with training strategies for these capacities, are of great value to athletes and multi-sports coaches, since they are key determinants for team success. Specifically, in rugby, where passing is a predominant and determinant element of sporting success, few field tests are available for assessing upper limb muscle power. The purpose of this point of view is to correct the upper limb power prediction equation previously published by our group and to highlight its concepts and applicability in sports, especially in rugby.


2021 ◽  
Vol 11 (3) ◽  
pp. 1309
Author(s):  
Ghaith Aloui ◽  
Souhail Hermassi ◽  
Lawrence D. Hayes ◽  
Roy J. Shephard ◽  
Mohamed Souhaiel Chelly ◽  
...  

This project investigated the effect of incorporating 8 weeks of biweekly upper limb loaded plyometric training (using elastic bands) into the in-season regimen of handball players. Participants were randomly allocated to a control group (CG) (n = 15, age = 18.1 ± 0.5 years, body mass = 73.7 ± 13.9 kg), or an experimental group (EG) (n = 14, age = 17.7 ± 0.3 years, body mass = 76.8 ± 10.7 kg). The measurements obtained pre- and post-intervention included a cycle ergometer force–velocity test, ball throwing velocity in three types of throwing, one-repetition maximum (1-RM) bench press and pull-over, and anthropometric estimates of the upper limb muscle volumes. The EG improved in absolute muscle power (W) (Δ23.3%; interaction effect p = 0.032 more than pre-intervention), relative muscle power (W·kg−1) (Δ22.3%; interaction effect p = 0.024), and all three types of ball throwing (Δ18.6%, interaction effect p = 0.019 on a jumping shot; Δ18.6%, interaction effect p = 0.017 on a three-step running throw; and Δ19.1%, interaction effect p = 0.046 on a standing throw). There was no interaction effect for the 1-RM bench press and pull-over performance. The upper limb muscle volumes remained unchanged in both groups. We concluded that adding biweekly elastic band plyometric training to standard training improves the muscle power and throwing velocity. Accordingly, such exercises should be adopted as a part of a pragmatic approach to handball training.


2018 ◽  
Vol 33 (02) ◽  
pp. 104-112 ◽  
Author(s):  
Souhail Hermassi ◽  
Karl Stefan Delank ◽  
Georg Fieseler ◽  
Thomas Bartels ◽  
Mohamed Souhaiel Chelly ◽  
...  

Abstract Background This study aimed to investigate relationships between peak power (PP) as measured by upper limb (PPUL) and lower limb (PPLL) force velocity tests, maximal upper limb force assessed by clean and jerk (1RMCJ) and snatch (1RMSE) exercises, estimates of local muscle volume and throwing ball velocity. Methods Thirty elite male handball players volunteered for the investigation (age: 20.3 ± 2.1 years; body mass: 82.5 ± 10.5 kg; height: 1.85 ± 0,07 %; body fat: 13.1 ± 2.1 %). Lower and upper limb force velocity tests were performed on appropriately modified forms of a Monark cycle ergometer with measurement of PPUL and PPLL, and the corresponding respective maximal forces (F0UL and F0LL) and velocities (V0UL and V0LL). Snatched (SN) and clean and jerk (CJ) exercises were performed to one repetition maximum (1RM). Handball throwing velocity was measured with jump shot (JS) without run-up (TW) and 3 steps shot (T3 step). Muscle volumes of the upper and lower limbs were estimated with a standard anthropometric kit. Results The 1RM CJ proved to be the most important predictor for throwing velocity. All types of throwing showed a high correlation with this parameter (JS: r = 0.75; TW: r = 0.62; T3 step: r = 0.66). The highest relation was detected between jump shot and 1RM snatch technique (r = 0.82). The PPUL muscle volume correlated highly with PPUL absolute power (r = 0.70). In contrast, we did not find any comparable relations for the lower limb (muscle volume vs. PPUL absolute power: r = 0.07). Conclusions Our results highlight the contribution of both lower and upper limbs to handball throwing velocity, suggesting the need for coaches to include upper and lower limb strength weightlifting exercises and power programs when improving the throwing velocity of handball players.


Author(s):  
Souhail Hermassi ◽  
Mohamed Souhaiel Chelly ◽  
Nicola Luigi Bragazzi ◽  
Roy J Shephard ◽  
René Schwesig

This study assessed the impact of 8 weeks biweekly in-season weightlifting training on the strength, throwing ability, and body composition of healthy male handball players. Twenty players (age: 21.2 ± 0.7 years, height: 1.83 ± 0.08 m, body mass: 83.3 ± 7.5 kg, body fat: 13.2 ± 1.4%, upper limb muscle volume: 3.16 ± 0.16 L) were randomly allocated between experimental (EG) and control (CG) groups. Measures of one-repetition maximal strength included bench press, pull-over, snatch, and clean and jerk. Throwing velocity was investigated by standing, running, and jump throws, and the power of the upper limbs was estimated from the total distance of a 3-kg medicine ball overhead throw. Muscle volumes were estimated anthropometrically. Training sessions comprised 3–4 sets of explosive weightlifting exercise at 75%–90% of 1RM (repetition maximum). Significant interaction effects (time x group) were found for all strength and throwing variables, ranging from ηp2 = 0.595 (pull-over) to ηp2 = 0.887 (medicine ball throw), with the largest between-group difference (more than 40%, Δd = 6.65) and effect size (d = 6.44) for the medicine ball throw, and the smallest (about 23%, Δd = 1.61) for the standing shot performance. Significant interaction effects were also detected for all anthropometric parameters (body mass: ηp2 = 0.433; body fat: ηp2 = 0.391; upper limb muscle volume: ηp2 = 0.920, with an almost 20% gain of muscle volume). It can be concluded that 8 weeks of biweekly in-season weightlifting training yielded substantial increases of muscle volume, maximal strength of the upper limbs, and ball throwing velocity in healthy handball players relative to their standard training program.


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