Muscle activations and knee joint loads were compared during squatting and lunging before and after lower extremity neuromuscular fatigue. Electromyographic activations of the rectus femoris, vastus lateralis and biceps femoris, and the external knee adduction and flexion moments were collected on 25 healthy women (mean age 23.5 years, BMI of 23.7 kg/m(2)) during squatting and lunging. Participants were fatigued through sets of 50 isotonic knee extensions and flexions, with resistance set at 50% of the peak torque achieved during a maximum voluntary isometric contraction. Fatigue was defined as a decrease in peak isometric knee extension or flexion torque ≥25% from baseline. Co-activation indices were calculated between rectus femoris and biceps femoris; and between vastus lateralis and biceps femoris. Fatigue decreased peak isometric extension and flexion torques (p<0.05), mean vastus lateralis activation during squatting and lunging (p<0.05), and knee adduction and flexion moments during lunging (p<0.05). Quadriceps activations were greater during lunging than squatting (p<0.05). Thus, fatigue altered the recruitment strategy of the quadriceps during squatting and lunging. Lunging challenges quadriceps activation more than squatting in healthy, young women.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jelekin.2014.08.013 | DOI Listing |
Front Physiol
December 2024
Division of Intelligent Future Technologies, School of Innovation, Design and Technology, Mälardalen University, Västerås, Sweden.
Introduction: Exercise physiology investigates the complex and multifaceted human body responses to physical activity (PA). The integration of electrical bioimpedance (EBI) has emerged as a valuable tool for deepening our understanding of muscle activity during exercise.
Method: In this study, we investigate the potential of using the EBI technique for human motion recognition.
Med Sci Sports Exerc
October 2024
School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH.
Purpose: Motion capture technology is quickly evolving providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared to marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.
View Article and Find Full Text PDFRes Sports Med
December 2024
Department of Biomechanics and Sport Injuries, Kharazmi University, Tehran, Iran.
This study aimed to evaluate the muscle activation ratio of hip and knee during hip-focused exercises. Eleven active university students performed 13 hip-focused exercises frequently used in the treatment of knee disorders. The average sEMG amplitude of tensor fasciae latae (TFL), gluteus medius (GMed), gluteus maximus (GMax), adductor longus (AL), vastus medialis (VM), vastus lateralis (VL), and GMed/AL, GMax/AL, and VL/VM ratios were determined.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Mechanical Engineering, The University of Tokyo, Tokyo 113-8654, Japan.
Fatigue plays a critical role in sports science, significantly affecting recovery, training effectiveness, and overall athletic performance. Understanding and predicting fatigue is essential to optimize training, prevent overtraining, and minimize the risk of injuries. The aim of this study is to leverage Human Activity Recognition (HAR) through deep learning methods for dimensionality reduction.
View Article and Find Full Text PDFFront Physiol
November 2024
Sports Training Institute, Guangzhou Sport University, Guangzhou, Guangdong, China.
The purpose of this study was to compare the impact of unilateral (U) and bilateral (B) contrast training on lower limb explosiveness, agility, and balance in college basketball athletes. Twenty male college basketball players were randomly assigned to either a unilateral group (U, n = 10) or a bilateral group (B, n = 10). Both groups underwent an 8week strength training program, with sessions held twice a week.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!