Literature DB >> 33477768

Strength Training Characteristics of Different Loads Based on Acceleration Sensor and Finite Element Simulation.

Bo Pang1, Zhongqiu Ji1, Zihua Zhang1, Yunchuan Sun2, Chunmin Ma3, Zirong He1, Xin Hu1, Guiping Jiang1.   

Abstract

Deep squat, bench press and hard pull are important ways for people to improve their strength. The use of sensors to measure force is rare. Measuring strength with sensors is extremely valuable for people to master the intensity of exercise to scientifically effective exercise. To this end, in this paper, we used a real-time wireless motion capture and mechanical evaluation system of the wearable sensor to measure the dynamic characteristics of 30 young men performing deep squat, bench press and hard pull maneuvers. The data of tibia were simulated with AnyBody 5.2 and ANSYS 19.2 to verify the authenticity. The result demonstrated that the appropriate force of the deep squat elbow joint, the hip joint and the knee joint is 40% 1RM, the appropriate force of the bench press is 40% 1RM and the appropriate force of the hard pull is 80% 1RM. The external force is the main factor of bone change. The mechanical characteristics of knee joint can be simulated after the Finite Element Analysis and the simulation of AnyBody model are verified.

Entities:  

Keywords:  bench press; deep squat; hard pull; resistance training; sensors

Year:  2021        PMID: 33477768      PMCID: PMC7832294          DOI: 10.3390/s21020647

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  17 in total

1.  Muscle recruitment by the min/max criterion -- a comparative numerical study.

Authors:  J Rasmussen; M Damsgaard; M Voigt
Journal:  J Biomech       Date:  2001-03       Impact factor: 2.712

Review 2.  Fundamentals of resistance training: progression and exercise prescription.

Authors:  William J Kraemer; Nicholas A Ratamess
Journal:  Med Sci Sports Exerc       Date:  2004-04       Impact factor: 5.411

3.  A musculoskeletal foot model for clinical gait analysis.

Authors:  Prabhav Saraswat; Michael S Andersen; Bruce A Macwilliams
Journal:  J Biomech       Date:  2010-04-10       Impact factor: 2.712

4.  Influence of different attentional focus on EMG amplitude and contraction duration during the bench press at different speeds.

Authors:  Joaquin Calatayud; Jonas Vinstrup; Markus D Jakobsen; Emil Sundstrup; Juan Carlos Colado; Lars L Andersen
Journal:  J Sports Sci       Date:  2017-08-10       Impact factor: 3.337

Review 5.  Daily physical activity assessment with accelerometers: new insights and validation studies.

Authors:  G Plasqui; A G Bonomi; K R Westerterp
Journal:  Obes Rev       Date:  2013-02-07       Impact factor: 9.213

Review 6.  Finite element modeling mesh quality, energy balance and validation methods: a review with recommendations associated with the modeling of bone tissue.

Authors:  Timothy A Burkhart; David M Andrews; Cynthia E Dunning
Journal:  J Biomech       Date:  2013-04-26       Impact factor: 2.712

7.  Occlusion training increases muscular strength in division IA football players.

Authors:  Tetsuo Yamanaka; Richard S Farley; Jennifer L Caputo
Journal:  J Strength Cond Res       Date:  2012-09       Impact factor: 3.775

Review 8.  Youth resistance training: updated position statement paper from the national strength and conditioning association.

Authors:  Avery D Faigenbaum; William J Kraemer; Cameron J R Blimkie; Ian Jeffreys; Lyle J Micheli; Mike Nitka; Thomas W Rowland
Journal:  J Strength Cond Res       Date:  2009-08       Impact factor: 3.775

9.  Resistance Training and Co-supplementation with Creatine and Protein in Older Subjects with Frailty.

Authors:  J Collins; G Longhurst; H Roschel; B Gualano
Journal:  J Frailty Aging       Date:  2016

10.  Tibial loading after UKA: evaluation of tibial slope, resection depth, medial shift and component rotation.

Authors:  Scott R Small; Michael E Berend; Renee D Rogge; Derek B Archer; Amanda L Kingman; Merrill A Ritter
Journal:  J Arthroplasty       Date:  2013-03-19       Impact factor: 4.757

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  2 in total

1.  Biomechanical Characteristics of Vertical Jumping of Preschool Children in China Based on Motion Capture and Simulation Modeling.

Authors:  Panchao Zhao; Zhongqiu Ji; Ruixiang Wen; Jiahui Li; Xiao Liang; Guiping Jiang
Journal:  Sensors (Basel)       Date:  2021-12-15       Impact factor: 3.576

2.  Design and Analysis of Adolescent Physical Health Monitoring System under the Background of Internet of Things and 5G.

Authors:  Zhi Chen
Journal:  J Healthc Eng       Date:  2021-11-15       Impact factor: 2.682

  2 in total

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