scholarly journals Muscle Activity and Gait Analysis of Assistive Device for Rehabilitation Gait Abnormalities Patient

2021 ◽  
Vol 2107 (1) ◽  
pp. 012063
Author(s):  
Ruzy Haryati Hambali ◽  
Suriati Akmal ◽  
Nurul Hamizan Komaruddin
Keyword(s):  
Gait Analysis ◽  
Muscle Contraction ◽  
Root Mean Square ◽  
Muscle Activity ◽  
Surface Electromyography ◽  
Assistive Device ◽  
Mean Square ◽  
Gait Abnormality ◽  
Muscle Disorder ◽  
Gait Abnormalities

Abstract Gait abnormality is a muscle disorder that disabling the patient to walk properly. This is caused by several factors including genetic influence, accident history, health issue, and others. Some suffered from this illness could be cured but some cases only could be helped by rehabilitation. This work is an original initiative in developing an assistive device as part of patient’s recovery and rehabilitation in helping the patient to regain muscle, as well assisting patient in performing their activities. However, the effectiveness on the device’s performance to serve its purpose has not yet been confirmed. Therefore, an electrical tool known as surface Electromyography (EMG) is being used to obtain the information required. This research is analysing the patient’s nerves system with and without the assistive device and demonstrate the effectiveness of the assistive device in reducing the muscle contraction, as well to increase the time-to-fatigue of the muscle. The findings of this research showed that the reduction in percent of average Root Mean Square (RMS) value of patient’s contraction muscle when using the device has increase the time-to-fatigue of the muscle. In conclusion, this assistive device assists the patient, minimise the muscle fatigue, and ease the patient in their daily chores.

scholarly journals Effect of the kinesio taping application method for the activation and strength of gastrocnemius muscles in healthy adults

2022 ◽  
Vol 11 (1) ◽  
pp. e11311124198
Author(s):  
Rafaéle Gomes Correa ◽  
Rubens Alexandre da Silva ◽  
Débora Alvez Guariglia ◽  
Marieli Ramos Stocco ◽  
Márcio Rogério de Oliveira ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Muscle Activity ◽  
Surface Electromyography ◽  
Peak Torque ◽  
Mean Square ◽  
Variable Speed ◽  
Kinesio Taping ◽  
Muscle Insertion ◽  
Gastrocnemius Muscles ◽  
Healthy Participants

The objective of this study was to verify the effect of kinesio-taping (KT) application of the origin for muscle insertion (O>I) and insertion for muscle origin (I>O) in healthy participants, through surface electromyography and peak torque of gastrocnemius muscles. A total of 69 participants with an average age of 22.9±5.2 years were evaluated, 41 women with an average age of 22.0±5.1 years, BMI 25.1±4.6 kg/m2, and 28 men with an average age of 22.0±5.1 years, BMI 23.1±3.3 kg/m2, randomized under three conditions: O>I, I>O and no KT (control), repeated three times with five-minute rest between sessions. The peak torque of the gastrocnemius lateral (GML) and medial (GMM) muscles was evaluated at speeds 30º/s 60º/s 120º/s and muscle activity through surface electromyography. Repeated-measurement ANOVA showed effect only on the variable speed (F=767,1; p<0.001) and the variables condition (F=0.010; p=0.990) and interaction (F=0.199; p=0.892) were not significant. In electromyography, Root mean Square (RMS) did not differ in the conditions evaluated, presenting standard behavior without significant differences. The KT application regardless of being O>I or I>O muscular, did not alter the muscle recruitment or contribute to the increase in peak torque performance during the three speeds.

scholarly journals A gait abnormality measure based on root mean square of trunk acceleration

2013 ◽  
Vol 10 (1) ◽  
pp. 118 ◽  
Author(s):  
Masaki Sekine ◽  
Toshiyo Tamura ◽  
Masaki Yoshida ◽  
Yuki Suda ◽  
Yuichi Kimura ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Mean Square ◽  
Gait Abnormality ◽  
Trunk Acceleration

scholarly journals Muscle Activity during Dryland Swimming while Wearing a Triathlon Wetsuit

2018 ◽  
Vol 6 (1) ◽  
pp. 7 ◽  
Author(s):  
Ciro Agnelli ◽  
John A. Mercer
Keyword(s):  
Root Mean Square ◽  
Muscle Activity ◽  
Swimming Performance ◽  
Stroke Rate ◽  
Mean Square ◽  
Long Distance ◽  
Dry Land ◽  
Shoulder Muscle ◽  
Anterior Deltoid ◽  
Paired T Test

Background: Triathletes typically wear a wetsuit during the swim portion of an event, but it is not clear if muscle activity is influenced by wearing a wetsuit. Purpose: To investigate if shoulder muscle activity was influenced by wearing a full-sleeve wetsuit vs. no wetsuit during dryland swimming. Methods: Participants (n=10 males; 179.1±13.2 cm; 91.2±7.25 kg; 45.6±10.5 years) completed two dry land swimming conditions on a swim ergometer: No Wetsuit (NW) and with Wetsuit (W). Electromyography (EMG) of four upper extremity muscles was recorded (Noraxon telemetry EMG, 500 Hz) during each condition: Trapezius (TRAP), Triceps (TRI), Anterior Deltoid (AD) and Posterior Deltoid (PD). Each condition lasted 90 seconds with data collected during the last 60 seconds. Resistance setting was self-selected and remained constant for both conditions. Stroke rate was controlled at 60 strokes per minute by having participants match a metronome. Average (AVG) and Root Mean Square (RMS) EMG were calculated over 45 seconds and each were compared between conditions using a paired t-test (α=0.05) for each muscle. Results: PD and AD AVG and RMS EMG were each greater (on average 40.0% and 66.8% greater, respectively) during W vs. NW (p<0.05) while neither TRAP nor TRI AVG or RMS EMG were different between conditions (p>0.05). Conclusion: The greater PD and AD muscle activity while wearing a wetsuit might affect swimming performance and /or stroke technique on long distance event.

A STUDY OF MODELS FOR HANDGRIP FORCE PREDICTION FROM SURFACE ELECTROMYOGRAPHY OF EXTENSOR MUSCLE

2009 ◽  
Vol 21 (02) ◽  
pp. 81-88 ◽  
Author(s):  
Wensheng Hou ◽  
Xiaolin Zheng ◽  
Yingtao Jiang ◽  
Jun Zheng ◽  
Chenglin Peng ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Surface Electromyography ◽  
Random Sequence ◽  
Maximum Voluntary Contraction ◽  
Force Production ◽  
Voluntary Contraction ◽  
Mean Square ◽  
Force Level ◽  
Force Output ◽  
Mean Square Errors

Force production involves the coordination of multiple muscles, and the produced force levels can be attributed to the electrophysiology activities of those related muscles. This study is designed to explore the activity modes of extensor carpi radialis longus (ECRL) using surface electromyography (sEMG) at the presence of different handgrip force levels. We attempt to compare the performance of both the linear and nonlinear models for estimating handgrip forces. To achieve this goal, a pseudo-random sequence of handgrip tasks with well controlled force ranges is defined for calibration. Eight subjects (all university students, five males, and three females) have been recruited to conduct both calibration and voluntary trials. In each trial, sEMG signals have been acquired and preprocessed with Root–Mean–Square (RMS) method. The preprocessed signals are then normalized with amplitude value of Maximum Voluntary Contraction (MVC)-related sEMG. With the sEMG data from calibration trials, three models, Linear, Power, and Logarithmic, are developed to correlate the handgrip force output with the sEMG activities of ECRL. These three models are subsequently employed to estimate the handgrip force production of voluntary trials. For different models, the Root–Mean–Square–Errors (RMSEs) of the estimated force output for all the voluntary trials are statistically compared in different force ranges. The results show that the three models have different performance in different force ranges. Linear model is suitable for moderate force level (30%–50% MVC), whereas a nonlinear model is more accurate in the weak force level (Power model, 10%–30% MVC) or the strong force level (Logarithmic model, 50%–80% MVC).

Estimation of Gait Independence Using a Tri-Axial Accelerometer in Stroke Patients

2018 ◽  
Vol 26 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Yoshifumi Kijima ◽  
Ryoji Kiyama ◽  
Masaki Sekine ◽  
Toshiyo Tamura ◽  
Toshiro Fujimoto ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Gait Analysis ◽  
Root Mean Square ◽  
Wireless Sensors ◽  
Gait Velocity ◽  
Mean Square ◽  
Key Factors ◽  
Stroke Patients ◽  
Gait Quality ◽  
Healthy Control

The purpose of this study was to clarify whether a gait analysis using an accelerometer could estimate gait independence. Eighty-six stroke patients and 21 healthy control subjects participated in this study. Stroke patients were identified as dependent or independent based on their gait ability. The acceleration of the trunk and bilateral thigh was measured using three wireless sensors during walking. The root mean square, gait regularity, and symmetry were calculated from the acceleration to estimate gait quality. ANCOVA showed that gait regularity of the trunk and bilateral thigh were significantly lowest in the dependent group, regardless of gait velocity. A logistic regression analysis showed that the regularity and root mean square of the anteroposterior acceleration of the unaffected thigh were the key factors for estimating gait independence. This study suggests that an acceleration-based gait analysis facilities gait independence estimation, and is a useful tool during the rehabilitation of stroke patients.

scholarly journals Could Ankle Muscle Activation Be Used as a Simple Measure of Balance Exercise Intensity?

2019 ◽  
Vol 70 (1) ◽  
pp. 47-59
Author(s):  
Jerica Licen ◽  
Vojko Strojnik ◽  
Katja Tomazin
Keyword(s):  
Root Mean Square ◽  
Surface Electromyography ◽  
Muscle Activation ◽  
Sagittal Plane ◽  
Angular Distance ◽  
Stability Conditions ◽  
Mean Square ◽  
Relative Measure ◽  
Balance Exercise ◽  
Ankle Muscle

Abstract Few, if any, studies have reported the effects of intensity of balance exercise for balance training and rehabilitation. The aim of the present study was to find a relative measure of intensity of balance exercise. On this basis, we analysed ankle muscle activation in the sagittal plane with increasing difficulty for a one leg stance on a T-board. Ten adults (7 men, 24.1 ± 3.5 years; 3 women, 30.6 ± 5.8 years) performed 3 trials on a T-board within 6 randomly assigned stability levels. T-board swaying velocities in the sagittal plane were manipulated to attain different stability levels (conditions). Concurrently, angular distance of the T-board and active balance time (i.e., percentage of a total time balancing) under each condition were measured. Surface electromyography from the tibialis anterior, gastrocnemius and soleus were monitored during one leg stance. The surface electromyography amplitude in the time domain was quantified using the root-mean-square values. Significant effect of stability levels on angular distance (F5,45 = 3.4; p = 0.01) and velocity of the T-board (F5,45 = 4.6; p = 0.002) were obtained. Active balance time decreased by ∼15% (p = 0.001) from the maximal to the minimal stability conditions. The graded level of balance board stability conditions did not generate significantly higher root-mean-square values in any muscles and hence could not be used as a relative measure of intensity of balance exercise. These findings imply that there could be a plateau in difficulty of balance exercise for enhancement of ankle muscle activity.

scholarly journals Computation and Evaluation of Features of Surface Electromyogram to Identify the Force of Muscle Contraction and Muscle Fatigue

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Sridhar P. Arjunan ◽  
Dinesh K. Kumar ◽  
Ganesh Naik
Keyword(s):  
Muscle Contraction ◽  
Muscle Fatigue ◽  
Root Mean Square ◽  
Linear Regression Analysis ◽  
Maximum Voluntary Contraction ◽  
Voluntary Contraction ◽  
Median Frequency ◽  
Mean Square ◽  
Surface Electromyogram ◽  
The Relationship

The relationship between force of muscle contraction and muscle fatigue with six different features of surface electromyogram (sEMG) was determined by conducting experiments on thirty-five volunteers. The participants performed isometric contractions at 50%, 75%, and 100% of their maximum voluntary contraction (MVC). Six features were considered in this study:normalised spectral index (NSM5), median frequency, root mean square, waveform length, normalised root mean square (NRMS), and increase in synchronization (IIS) index. Analysis of variance (ANOVA) and linear regression analysis were performed to determine the significance of the feature with respect to the three factors: muscle force, muscle fatigue, and subject. The results show that IIS index of sEMG had the highest correlation with muscle fatigue and the relationship was statistically significant (P<0.01), while NSM5 associated best with level of muscle contraction (%MVC) (P<0.01). Both of these features were not affected by the intersubject variations (P>0.05).

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