Showing 4 results for Electromyography
Masood Saleh Shahreza, Shahrzad Zandi, Seyed Hamed Mousavi,
Volume 9, Issue 4 (11-2024)
Abstract
Aims: The primary objective of this study was to systematically review the existing literature on quadriceps femoris muscle activity, as measured by sEMG, in healthy adult males during common strength exercises.
Method and Materials: This systematic review used the PRISMA guidelines. Original research articles published up to December 2023 were retrieved from the PubMed/Medline, Scopus, and Web of Science databases. The inclusion criteria required studies to (a) be available in full-text English, (b) utilize cross-sectional or longitudinal study designs (experimental or cohort), (c) report electromyography activity as a percentage of Maximal Voluntary Isometric Contraction (%MVIC), (d) analyze Rectus Femoris (RF), Vastus Lateralis (VL), and Vastus Medialis (VM) muscles, (e) focus on resistance training exercises as the primary intervention, (f) be published within the last ten years, and (g) include healthy adult male participants.
Findings: The review results indicated that the VL was the most frequently studied quadriceps muscle across different exercises. Notably, the leg press demonstrated the highest activation levels for both the VL and VM, while the Spanish squat elicited the highest activation for the RF. Additionally, the deadlift showed substantial activation of the VL, though to a lesser extent than the leg press.
Conclusion: These findings highlight the importance of exercise selection for targeting specific quadriceps muscles during strength training. Furthermore, to ensure the accuracy and reliability of sEMG data, it is critical to establish standardized methodological criteria for its use.
Lalith Kumar R, Kamalakannan M, Hariharan J, Hajira Husna, Praveenkumar R, Priyanga Seemathan, Dinesh S, Durga N,
Volume 10, Issue 1 (2-2025)
Abstract
Aim: The aim of the study is to determine the effectiveness of Myofascial Trigger Release Technique versus Muscle Energy Technique on muscle activity and pain among individuals with Text Neck Syndrome
Methodand Materials: A total of 112 subjects with Text neck syndrome were selected using simple random sampling technique from Saveetha medical college and hospital based on inclusion and exclusion criteria after which detailed study procedure were explained to patients and written informed consent were obtained. The participants age from 18 to 30 years and both male and female gender had been diagnosed with Text neck syndrome. The 56 individuals in each group into two groups. The experimental group (Myofascial trigger release technique) Control group (Muscle energy technique) for both groups pretest results from, EMG and pressure algometer were documented. Treatment intervention consisted of 4 weeks with 3 sessions per week.
Findings: On comparing pre-test and post-test within experimental group & control group on EMG and Pressure algometer score shows highly significant difference in mean values at P ≤ 0.0001.
Conclusion: The study concluded that the myofascial trigger release technique was more effective than muscle energy technique.
Volume 13, Issue 1 (1-2010)
Abstract
Objective: Due to the frequent use of surface electromyography as a tool for the study of muscle function, to accurately compare electromyographic data from different muscles and different subjects, it is necessary to normalize the integrated data obtained from each muscle. The most common normalization technique is the use of maximum voluntary isometric contraction (MVIC) of a predetermined isometric movement as the reference electromyographic signal.
The purpose of this study was to determine the Reproducibility of maximum voluntary isometric contraction of shoulder muscles in Empty Can position test and the correlation between force and MVIC of shoulder muscles.
Materials and Methods: The electromyographic activity of these four muscles (anterior and middle deltoid, upper and lower trapezius) was examined in 20 healthy subjects (10 men and 10 women with 31.25±8.92 age). Muscle force was determined by dynamometer. Each test repeated 3 times.
Results: Results showed that same day test retest reliability coefficients were significant (ICC>95%), but separate day test retest reliability coefficients were not significant.
Maximum muscle force did not relate to any of muscles MVIC amplitude.
Conclusion: Reproducibility results may be due to electrode placement, emotional and physical condition of subjects and the large range of motion of shoulder and compensatory movements of shoulder and trunk.
Volume 20, Issue 6 (6-2020)
Abstract
The goal of this paper is to design an online control interface for knee prosthesis based on the electromyography (EMG) signals of active thigh muscles. According to the time dependent nature of electromyography signals, translating such signals into precise commands in practical applications is a challenge for scientists. First stage for designing an online control interface is to design and implement a test setup for examining the proposed online control interface. To serve this purpose, active knee prosthesis is designed and manufactured using an elastic actuator mechanism. In order to measure the EMG signals, active muscles were detected based on the fundamental of muscles anatomy. In the second stage, filtering and data segmentation were utilized for electromyography signals smoothing, decreasing noises and reducing signal dimensions. Furthermore, time-delay neural network was used in order to map time domain features of EMG signals onto kinematic variables of knee joint. The angle and angular velocity of knee joint were estimated with accuracy of 0.85 (R2) for two locomotion modes including non-weight bearing and ground level walking. To implement online estimation of angular position, time domain features and neural network with 50 hidden layer’s neurons and 2 seconds time delay were used. Finally, online angular position estimation of knee joint was implemented on the designed test setup and results confirm proper tracking of online control interface.
