Surface electromyography based method for computing muscle strength and fatigue of biceps brachii muscle and its clinical implementation

Kuthe, Chetan D; Uddanwadiker, Rashmi; Ramteke, Alankar

doi:10.1016/j.imu.2018.06.004

Cited by 28 publications

(17 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Moreover, the different effects of two sides of erector spinae on muscle fatigue between healthy and LBP groups have also been found [ 31 ]. However, unlike the most previous findings [ 33 , 34 ], we had observed that the fatigue resistance of erector spinae in the healthy soldiers was worse than the CLBP ones regardless of the dominant or nondominant sides. Fatigability in the different parts of the erector spinae is different.…”

Section: Discussioncontrasting

confidence: 99%

See 1 more Smart Citation

Spatial Distribution and Asymmetry of Surface Electromyography on Lumbar Muscles of Soldiers with Chronic Low Back Pain

Hao

Xie

Wang

et al. 2020

Pain Research and Management

View full text Add to dashboard Cite

This study investigated spatial distribution and asymmetry of surface electromyography on lumbar muscles during a sustained contraction in soldiers with and without chronic low back pain. Twenty healthy soldiers and twenty chronic low back pain (CLBP) soldiers had performed the Sorensen test with a duration of 60 seconds. The corresponding muscle fatigue, spatial distribution, and the asymmetry of muscle activity over bilateral paraspinal lumbar regions were measured by the high-density surface electromyography (HDsEMG). The paired and independent samples t-tests were performed to compare the degree of muscle fatigue and asymmetry. The repeated-measures analyses of variance (ANOVA) were used to compare spatial distribution between groups and muscle fatigue. The baseline characteristics of soldiers between groups were comparable. CLBP soldiers had significantly less muscle fatigue on both sides of erector spinae compared to healthy ones. The spatial distribution was significantly associated with the group factor but independent of muscle fatigue. In addition, the asymmetry of erector spinae activity in the CLBP soldiers was significantly higher than the healthy one. In conclusion, uneven spatial distribution and asymmetry of lumbar muscle activity play significant roles in CLBP patients. The HDsEMG could be used as an objective method in distinguishing the function of the erector spinae between healthy individuals and CLBP patients during 1 min sustained contraction.

show abstract

Section: Discussioncontrasting

confidence: 99%

“…Differences in muscle fatigue between the CLBP group and the healthy group have been reported [ 2 ]. When muscle fatigue occurs during muscle contraction, the NMF usually shifts to lower frequencies [ 33 ]. The value of the linear regression slope of NMF is smaller when the stronger fatigue resistance occurs.…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution and Asymmetry of Surface Electromyography on Lumbar Muscles of Soldiers with Chronic Low Back Pain

Hao

Xie

Wang

et al. 2020

Pain Research and Management

View full text Add to dashboard Cite

show abstract

“…In this work two electromyographic parameters were tested to indicate fatigue in athletes through exercises that employ dynamic contractions. The above, considering the relationship found between the contraction factor with the mean frequency and maximum RMS amplitude of the EMG signal [30,31], therefore it can be affirmed that the frequency analysis in the experienced conditions is the best method to estimate fatigue indexes.…”

Section: Discussionmentioning

confidence: 79%

Implementation of a Portable Electromyographic Prototype for the Detection of Muscle Fatigue

2019

View full text Add to dashboard Cite

Surface electromyography (sEMG) applied to the sports training area makes possible the observation of fatigue as well as the generation of muscular strength, through the study of changes in signal characteristics, such as peak-to-peak amplitude, mean frequency and median, among others. In this sense, this work presents the design of a portable prototype for the acquisition and processing of electromyographic (EMG) signals aimed at the detection of muscle fatigue in athletes. Using two Bluetooth Bee modules, a wireless communication was performed in order to send the muscular electrical activity of the skin surface to a user interface developed in LabVIEW. A group of players from the Volleyball team of the Universidad del Magdalena, performed a series of exercise routines with dynamic contractions and as they experienced fatigue, samples were taken of the contractions made. The tests were performed on the vastus lateralis and rectus femoris muscles. The analysis of fatigue under dynamic conditions of the two parameters studied, in frequency and time, showed that it is more pertinent to estimate fatigue indices in the frequency domain.

show abstract

“…A range of methods has been used to analyze muscle fatigue, including muscle biopsy, muscle imaging, exercise endurance tests, and isometric strength tests. Due to its non-invasiveness nature, real-time data, and applicability, surface electromyography (sEMG) is a widely used technique to assess muscle fatigue [11,12]. The root mean square (RMS), mean power frequency (MNF), and median frequency (MDF) obtained from sEMG are useful parameters for assessing muscle fatigue [10,13,14].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Muscle Fatigue Using Surface Electromyography and Analysis of Associated Factors in Type 2 Diabetic Patients with Neuropathy: A Preliminary Study

Park

2021

IJERPH

View full text Add to dashboard Cite

Diabetic neuropathy (DN) is a major complication associated with diabetes mellitus (DM) and results in fatigue. We investigated whether type 2 diabetic patients with or without neuropathy experienced muscle fatigue and determined the most influencing factor on muscle fatigue. Overall, 15 out of 25 patients with type 2 DM were diagnosed with DN using a nerve conduction study in the upper and lower extremities, and the composite score (CS) was calculated. We obtained the duration of DM and body mass index (BMI) from subjects, and they underwent a series of laboratory tests including HbA1c, fasting plasma glucose, triglycerides, and high- and low-density lipoprotein. To qualify muscle fatigue, this study used surface electromyography (sEMG). Anode and cathode electrodes were attached to the medial gastrocnemius. After 100% isometric maximal voluntary contracture of plantarflexion, the root mean square, median frequency (MDF), and mean power frequency (MNF) were obtained. We showed a correlation among laboratory results, duration of DM, BMI, CS, and parameters of muscle fatigue. The duration of DM was related to fatigue of the muscle and CS (p < 0.05). However, CS was not related to fatigue. The MDF and MNF of muscle parameters were positively correlated with HbA1c and fasting plasma glucose (p < 0.05). In conclusion, we suggest that the duration of DM and glycemic control play important roles in muscle fatigue in patients with DN. Additionally, sEMG is useful for diagnosing muscle fatigue in patients with DN.

show abstract

Surface electromyography based method for computing muscle strength and fatigue of biceps brachii muscle and its clinical implementation

Cited by 28 publications

References 29 publications

Spatial Distribution and Asymmetry of Surface Electromyography on Lumbar Muscles of Soldiers with Chronic Low Back Pain

Spatial Distribution and Asymmetry of Surface Electromyography on Lumbar Muscles of Soldiers with Chronic Low Back Pain

Implementation of a Portable Electromyographic Prototype for the Detection of Muscle Fatigue

Diagnosis of Muscle Fatigue Using Surface Electromyography and Analysis of Associated Factors in Type 2 Diabetic Patients with Neuropathy: A Preliminary Study

Contact Info

Product

Resources

About