scholarly journals An Evaluation Method of Assessing the Low Back Muscle Fatigue in Manual Material Handling

2015 ◽  
pp. 467-475
Author(s):  
A. Komeili ◽  
X. Li ◽  
M. Gul ◽  
J. Lewick ◽  
M. El-Rich
Keyword(s):  
Muscle Fatigue ◽  
Evaluation Method ◽  
Fatigue Behavior ◽  
The Body ◽  
Median Frequency ◽  
Low Back ◽  
Body Parts ◽  
Back Muscle ◽  
Spectral Parameters ◽  
Repetitive Lifting

Workers in certain industries are exposed to high labor-intensive tasks. Low back pain (LBP) is widespread among construction workers (Hildebrandt, 1995) and is extremely prevalent, with every adult having up to an 85% chance of experiencing LBP at least once during his or her lifetime. Back-related complaints are more costly than those from any other body part for Alberta work-related claims. Ergonomic principles in addition to the engineering considerations should be included in the design of work stations to minimize the risk of injury for employees. In this study, we assessed the low back muscle fatigue due to lifting tasks. The objective was to investigate the changes in muscle activity and kinematics of the human body caused by fatigue due to repetitive lifting tasks. Three healthy male volunteers with no recent back complications were asked to complete 3 cycles of lifting task at the Syncrude Centre of the Glenrose Rehabilitation Hospital. Each cycle involved lifting a 15lb window frame for 20 times. Self? adhesive reflective markers were attached on the hands, trunk, and legs to measure displacements and rotation of the body parts while performing the task. Electromyography (EMG) sensors were placed on lower back muscles to record their activity. The muscle fatigue was investigated by studying change in EMG spectral parameters such as RMS, mean frequency (MNF), and median frequency (MDF) as well as physical condition of subjects due to repetitive lifting. The power frequency curve shifted to the low frequency when muscle fatigue occurred. As a result, the slope of the RMS, and MNF indicators were successful to describe the fatigue behavior expected.

scholarly journals Age- and sex-specific effects in paravertebral surface electromyographic back extensor muscle fatigue in chronic low back pain

GeroScience ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 251-269 ◽  
Author(s):  
Gerold Ebenbichler ◽  
Richard Habenicht ◽  
Sara Ziegelbecker ◽  
Josef Kollmitzer ◽  
Patrick Mair ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Muscle Fatigue ◽  
Chronic Low Back Pain ◽  
Median Frequency ◽  
Low Back ◽  
Back Muscle ◽  
The Impact ◽  
Back Extensor ◽  
Age And Sex

AbstractThe impact of aging on the back muscles is not well understood, yet may hold clues to both normal aging and chronic low back pain (cLBP). This study sought to investigate whether the median frequency (MF) surface electromyographic (SEMG) back muscle fatigue method—a proxy for glycolytic muscle metabolism—would be able to detect age- and sex-specific differences in neuromuscular and muscle metabolic functions in individuals with cLBP in a reliable way, and whether it would be as sensitive as when used on healthy individuals. With participants seated on a dynamometer (20° trunk anteflexion), paraspinal SEMG activity was recorded bilaterally from the multifidus (L5), longissimus (L2), and iliolumbalis (L1) muscles during isometric, sustained back extensions loaded at 80% of maximum from 117 younger (58 females) and 112 older (56 female) cLBP individuals. Tests were repeated after 1–2 days and 6 weeks. Median frequency, the SEMG variable indicating neuromuscular fatigue, was analyzed. Maximum back extensor strength was comparable between younger and older participants. Significantly less MF-SEMG back muscle fatigue was observed in older as compared to younger, and in older female as compared to older male cLBP individuals. Relative reliability was excellent, but absolute reliability appeared large for this SEMG-fatigue measure. Findings suggest that cLBP likely does not mask the age-specific diagnostic potential of the MF-SEMG back extensor fatigue method. Thus, this method possesses a great potential to be further developed into a valuable biomarker capable of detecting back muscle function at risk of sarcopenia at very early stages.

scholarly journals The influence of Kinesio Taping on muscle fatigue in individuals with low back pain: A randomised controlled trial

2021 ◽  
pp. 1-9
Author(s):  
Liane Brito Macedo ◽  
Jim Richards ◽  
Daniel Tezoni Borges ◽  
Samara Alencar Melo ◽  
Daniela Dantas Reis ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Muscle Fatigue ◽  
Rating Scale ◽  
Erector Spinae ◽  
Median Frequency ◽  
Low Back ◽  
Back Muscle ◽  
Time Points ◽  
Kinesio Taping

OBJECTIVE: To evaluate the effect of different taping techniques on back muscle fatigue in people with low back pain. METHODS: Sixty women with chronic non-specific low back pain were randomly assigned to four groups of 15 participants each: control (CG), Kinesio Taping (KT) with tension (KTT), KT no tension (KTNT) and Micropore® (MP), which were applied over the erector spinae muscles. The median frequency (MF) fatigue slopes of the longissimus muscle and sustained contraction time during a trunk fatigue test (Ito test), and pain using the numerical pain rating scale (NPRS) were collected at three time points: pre-treatment, three and ten days after intervention at a university laboratory. RESULTS: Significant differences were seen in the MF slopes between groups (p= 0.01, η2= 0.20), with the KTT showing a mean difference (MD = 0.31, p= 0.04) and KTNT (MD = 0.28, p= 0.04) compared with CG. Significant reductions in NPRS were seen between time points (p< 0.001, η2= 0.28), with a reduction between pre and 3 days (MD = 1.87, p< 0.001), and pre and 10 days (MD = 1.38, p< 0.001), with KTT and KTNT both showing clinically important changes. CONCLUSION: KT, with or without tension, has a tendency to reduce back muscle fatigue and reduce pain in individuals with chronic non-specific low back pain.

scholarly journals Assessment of Postural effect on Work Related Musculoskeletal Disorders and Back Muscle Fatigue among the Goldsmiths of India

2017 ◽  
Vol 5 (2) ◽  
pp. 16-22
Author(s):  
Tirthankar Ghosh
Keyword(s):  
Muscle Fatigue ◽  
Musculoskeletal Disorders ◽  
Trunk Muscles ◽  
Questionnaire Study ◽  
Physical Work ◽  
Low Back ◽  
Back Muscle ◽  
Work Related ◽  
Work Related Musculoskeletal Disorders ◽  
Postural Effect

Background: Musculoskeletal disorders (MSD) may be defined as injuries and disorders of the muscles, nerves, tendons, ligaments, joints, cartilage and spinal disc. This may occur due to improper physical work activities or appalling workplace conditions. Awkward or extreme postures are less efficient than posture keep joints near the center of their range of motion.Objective: The objective of the current study was to assessment of postural effect on work related musculoskeletal disorders and back muscle fatigue among the goldsmiths of India.Methods: In this current study, the experiment was performed on 100 male goldsmiths. A detailed questionnaire study on discomfort feeling was done and analysis of body posture by Rapid Upper Limb Assessment was done to evaluate the work stress during their job. Electromyographic activity was collected from ten major trunk muscles sites which consist of right and left muscle.Result: From the analysis, it was revealed that musculoskeletal disorders were the major problem of the goldsmiths. Moreover questionnaire study revealed that most of the workers were affected by pain at Neck (80%), Low back (91%), Wrist (45%), Shoulder (20%). Decreased in RMS and MedF of all the ten major trunk muscles were observed at the end of the every work cycle, which indicating that muscular fatigue was induced by the Gold Smiths tasks.Conclusion: From this study it can be concluded that the goldsmiths are working in awkward and forward bending postures for prolonged period of time with the potential risks of musculoskeletal disorders primarily affecting the low-back and neck region of the body. This can be attributed by the improper design of the workstation.

scholarly journals An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3108 ◽  
Author(s):  
Shing-Hong Liu ◽  
Chuan-Bi Lin ◽  
Ying Chen ◽  
Wenxi Chen ◽  
Tai-Shen Huang ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Real Time ◽  
Root Mean Square ◽  
The Body ◽  
Median Frequency ◽  
Mean Square ◽  
Sport Injuries ◽  
Physiological Measurement ◽  
The Real ◽  
Emg Signal

In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an electrocardiogram patch. Common functions of these wearable devices are that they use real time to display the state of health of the body, and they are all small sized. The electromyogram (EMG) signal is usually used to show muscle activity. Thus, the EMG signal could be used to determine the muscle-fatigue conditions. In this study, the goal is to develop an EMG patch which could be worn on the lower leg, the gastrocnemius muscle, to detect real-time muscle fatigue while exercising. A micro controller unit (MCU) in the EMG patch is part of an ARM Cortex-M4 processor, which is used to measure the median frequency (MF) of an EMG signal in real time. When the muscle starts showing tiredness, the median frequency will shift to a low frequency. In order to delete the noise of the isotonic EMG signal, the EMG patch has to run the empirical mode decomposition algorithm. A two-electrode circuit was designed to measure the EMG signal. The maximum power consumption of the EMG patch was about 39.5 mAh. In order to verify that the real-time MF values measured by the EMG patch were close to the off-line MF values measured by the computer system, we used the root-mean-square value to estimate the difference in the real-time MF values and the off-line MF values. There were 20 participants that rode an exercise bicycle at different speeds. Their EMG signals were recorded with an EMG patch and a physiological measurement system at the same time. Every participant rode the exercise bicycle twice. The averaged root-mean-square values were 2.86 ± 0.86 Hz and 2.56 ± 0.47 Hz for the first and second time, respectively. Moreover, we also developed an application program implemented on a smart phone to display the participants’ muscle-fatigue conditions and information while exercising. Therefore, the EMG patch designed in this study could monitor the muscle-fatigue conditions to avoid sport injuries while exercising.

Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study

2021 ◽  
pp. 183-187
Author(s):  
Niels P. Brouwer ◽  
Ali Tabasi ◽  
Alejandro Moya-Esteban ◽  
Massimo Sartori ◽  
Wietse van Dijk ◽  
...  
Keyword(s):  
Pilot Study ◽  
Muscle Fatigue ◽  
Low Back ◽  
Back Muscle

scholarly journals Effects of Force Load, Muscle Fatigue, and Magnetic Stimulation on Surface Electromyography during Side Arm Lateral Raise Task: A Preliminary Study with Healthy Subjects

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Liu Cao ◽  
Ying Wang ◽  
Dongmei Hao ◽  
Yao Rong ◽  
Lin Yang ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Surface Electromyography ◽  
Healthy Subjects ◽  
Magnetic Stimulation ◽  
Rest Period ◽  
The Body ◽  
Median Frequency ◽  
Force Load ◽  
Semg Signal ◽  
The Subject

The aim of this study was to quantitatively investigate the effects of force load, muscle fatigue, and extremely low-frequency (ELF) magnetic stimulation on surface electromyography (SEMG) signal features during side arm lateral raise task. SEMG signals were recorded from 18 healthy subjects on the anterior deltoid using a BIOSEMI ActiveTwo system during side lateral raise task (with the right arm 90 degrees away from the body) with three different loads on the forearm (0 kg, 1 kg, and 3 kg; their order was randomized between subjects). The arm maintained the loads until the subject felt exhausted. The first 10 s recording for each load was regarded as nonfatigue status and the last 10 s before the subject was exhausted was regarded as fatigue status. The subject was then given a five-minute resting between different loads. Two days later, the same experiment was repeated on every subject, and this time the ELF magnetic stimulation was applied to the subject’s deltoid muscle during the five-minute rest period. Three commonly used SEMG features, root mean square (RMS), median frequency (MDF), and sample entropy (SampEn), were analyzed and compared between different loads, nonfatigue/fatigue status, and ELF stimulation and no stimulation. Variance analysis results showed that the effect of force load on RMS was significant (p<0.001) but not for MDF and SampEn (bothp>0.05). In comparison with nonfatigue status, for all the different force loads with and without ELF stimulation, RMS was significantly larger at fatigue (allp<0.001) and MDF and SampEn were significantly smaller (allp<0.001).

Back muscle fatigue of younger and older adults with and without chronic low back pain using two protocols: A case-control study

2015 ◽  
Vol 25 (6) ◽  
pp. 928-936 ◽  
Author(s):  
Rubens A. da Silva ◽  
Edgar R. Vieira ◽  
Marcos Cabrera ◽  
Leandro R. Altimari ◽  
Andreo F. Aguiar ◽  
...  
Keyword(s):  
Older Adults ◽  
Low Back Pain ◽  
Back Pain ◽  
Muscle Fatigue ◽  
Chronic Low Back Pain ◽  
Case Control Study ◽  
Case Control ◽  
Low Back ◽  
Back Muscle ◽  
Control Study

scholarly journals The effect of acute back muscle fatigue on postural control strategy in people with and without recurrent low back pain

2011 ◽  
Vol 20 (12) ◽  
pp. 2152-2159 ◽  
Author(s):  
Ege Johanson ◽  
Simon Brumagne ◽  
Lotte Janssens ◽  
Madelon Pijnenburg ◽  
Kurt Claeys ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Postural Control ◽  
Muscle Fatigue ◽  
Control Strategy ◽  
Low Back ◽  
Back Muscle ◽  
Recurrent Low Back Pain ◽  
Postural Control Strategy
Sign in / Sign up

Export Citation Format

Share Document