Analysis of the Biceps Brachii Muscle by Varying the Arm Movement Level and Load Resistance Band

Burhan, Nuradebah; Kasno, Mohammad Afif; Ghazali, Rozaimi; Said, Radzai; Abdullah, Shahrum Shah; Jali, Mohd Hafiz

doi:10.1155/2017/1631384

Cited by 10 publications

(3 citation statements)

References 20 publications

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“…Surface electromyography has become a kinesiology-based tool to examine muscle function during certain movements, and muscle activity, muscle strength, muscle fatigue/fatigue, and type of muscle contraction (Heikkinen., 2011;Kuthe et al, 2018). sEMG electrodes are placed on the skin surface to record the electrical activity of the muscles (Burhan et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Comparison of the effects of muscle-strengthening exercise using free weights and elastic resistance bands to maximum voluntary isometric contraction of the biceps brachii muscle on untrained subjects

Silahudin¹,

Wulan²,

Pawana³

et al. 2021

IJRP

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Background: Impaired muscle performance, muscle weakness and atrophy, even sarcopenia (reduced muscle mass and strength) can be caused by injury, disease, immobilization, disuse, and inactivity. Resistance training is an appropriate therapeutic intervention to increase integrated muscle power, strength, and endurance during functional movement, to reduce the risk of injury or re-injury, and to improve physical performance.Objective: To compare the effectiveness of free weights (dumbbells) and elastic resistance bands in increasing the biceps brachii muscle strength on untrained subjects during four weeks of training. Methods:The study was conducted from February to March 2021. Twenty-four men with low and moderate activity levels were recruited and randomized into the dumbbell group (DB) and the elastic resistance bands (ERB) group. Each group was given a biceps brachii muscle strengthening exercise program for 4 weeks. Maximum voluntary isometric contraction (MVIC) of biceps brachii muscle was collected before and after treatment.Results: There was a significant difference in the MVIC value before and after 4 weeks of exercise in the DB group (right p-value 0.002 and left p-value 0.003) and the ERB group (right p-value 0.000 and left p-value 0.001), there was no difference significant difference in MVIC of the right and left biceps brachii muscles before and after 4 weeks of exercise between the two groups (right p-value 0.453 and left 0.714). Conclusion:Free weights and elastic resistance bands show the same effect in increasing MVIC on untrained subjects

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Section: Discussionmentioning

confidence: 99%

Comparison of the effects of muscle-strengthening exercise using free weights and elastic resistance bands to maximum voluntary isometric contraction of the biceps brachii muscle on untrained subjects

Silahudin¹,

Wulan²,

Pawana³

et al. 2021

IJRP

View full text Add to dashboard Cite

show abstract

“…Muscles' activities were recorded using a wireless portable 8-channel Biomonitor ME6000 EMG (Mega Electronics Ltd., Kuopio, Finland) with a band-pass filter of bandwidth 8–500 Hz and a 14-bit A/D converter at a sampling rate of 1000 Hz [ 30 ]. Raw data were recorded and processed using MegaWin 3.1.…”

Section: Methodsmentioning

confidence: 99%

Influence of Shopping Bags Carrying on Human Responses While Walking

Ramadan

Khalaf

Ragab

et al. 2018

Journal of Healthcare Engineering

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Shopping as a daily activity that involves carrying shopping bags in hands might be associated with risk factors contributing to the development of low back pain (LBP) and strains and sprains in the upper extremity. A three-way repeated measures experiment was conducted for the purpose of the study. The independent variables were holding style, carrying technique, and shopping bags' weights. The dependent variables were cardiac cost, muscles' activities as a percentage of their maximum voluntary contraction's EMG (%MVC), peak plantar pressure (PPP), and discomfort rating. Carrying grocery bags with both hands to the sides of the body using shopping bags' holder was favorable and advantageous to other carrying conditions in terms of less cardiac cost, less %MVC, less peak plantar pressure, and less discomfort. It is useful to carry grocery bags close to the body with both hands using holders that are available in the local market.

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“…[ 1 ] Rehabilitation research included improving, restoring, and reducing the disability of people with severe physical disabilities so that they can return to the labor market. [ 2 ] It is essential to identify the current condition, disability, and ability of the patient before the disease and to use predictive tools to perform rehabilitation. [ 3 ] In addition, it includes a sociopsychological model that emphasizes physical function, mobility level, and physiological and environmental conditions and examines the patient's needs for returning to work and the initial condition.…”

Section: Introductionmentioning

confidence: 99%

Prediction of biceps muscle electromyogram signal using a NARX neural network

Rahatabad¹,

Khodadadi²,

Sheikhani³

et al. 2023

J Med Signals Sens

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Background: This study was conducted to compare the response between the results of experimental data and the results achieved by the NARX neural network model to predict the electromyogram (EMG) signal on the biceps muscle in nonlinear stimulation conditions as a new stimulation model. Methods: This model is applied to design the controllers based on functional electrical stimulation (FES). To this end, the study was conducted in five stages, including skin preparation, placement of recording and stimulation electrodes, along with the position of the person to apply the stimulation signal and recording EMG, stimulation and recording of single-channel EMG signal, signal preprocessing, and training and validation of the NARX neural network. The electrical stimulation applied in this study is based on a chaotic equation derived from the Rossler equation and on the musculocutaneous nerve, and the response to this stimulation, i.e., the EMG signal, is from the biceps muscle as a single channel. The NARX neural network was trained, along with the stimulation signal and the response of each stimulation for 100 recorded signals from 10 individuals, and then validated and retested for trained data and new data after processing and synchronizing both signals. Results: The results indicate that the Rossler equation can create nonlinear and unpredictable conditions for the muscle, and we also can predict the EMG signal with the NARX neural network as a predictive model. Conclusion: The proposed model appears to be a good method to predict control models based on FES and to diagnose some diseases.

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Analysis of the Biceps Brachii Muscle by Varying the Arm Movement Level and Load Resistance Band

Cited by 10 publications

References 20 publications

Comparison of the effects of muscle-strengthening exercise using free weights and elastic resistance bands to maximum voluntary isometric contraction of the biceps brachii muscle on untrained subjects

Comparison of the effects of muscle-strengthening exercise using free weights and elastic resistance bands to maximum voluntary isometric contraction of the biceps brachii muscle on untrained subjects

Influence of Shopping Bags Carrying on Human Responses While Walking

Prediction of biceps muscle electromyogram signal using a NARX neural network

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