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Evaluation of Muscle Activities During Different Squat Variations Using Electromyography Signals

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

Abstract

The importance of Electromyography (EMG) signals analysis with advanced methodologies is increasing in biomedics, clinical diagnosis and biomechanics and it becomes a required practice for many scientists from both health and engineering fields. The squat is a very important exercise for improving athletic performance and for prevention and rehabilitation of injuries. It has many different variations which are supposedly focusing on different muscles. We aimed to compare vastus medialis, rectus femoris, vastus lateralis, gluteus maximus, semitendinosus, biceps femoris and erector spinae EMG activities during popular squat variations while the participants (14 healthy males, 23.7 ± 2.7 years-old) were performing 6 repetitions of front squat, back squat, hack squat, sumo squat and zercher squat with 60% of the 1 repetition maximum loading. Muscle EMG activities during different variations were compared by using Repeated measures ANOVA. The highest rectus femoris, vastus lateralis and vastus medialis EMG activities were observed during front squat with a significant difference with Zercher squat. EMG activities of Erector spinae and semitendinosus during Hack squat were significantly lower than all other squat variations (p < 0.05). These findings may suggest that front squat may be chosen to focus on quadriceps muscles while Hack squat may be a good choice for better knee and spinal stabilization.

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Author information

Authors and Affiliations

  1. Faculty of Sports Sciences, Near East University, Nicosia, North Cyprus

    Erdag Deniz

  2. Department of Sports Medicine, Faculty of Medicine, Near East University, Nicosia, North Cyprus

    Yavuz Hasan Ulas

Authors
  1. Erdag Deniz
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  2. Yavuz Hasan Ulas
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Corresponding author

Correspondence to Erdag Deniz .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Deniz, E., Ulas, Y.H. (2020). Evaluation of Muscle Activities During Different Squat Variations Using Electromyography Signals. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_114

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