Variability in Clinical Surface Electromyography Recording of Submental Muscle Activity in Swallowing of Healthy Participants

2012 ◽  
Vol 15 (3) ◽  
pp. 175-186 ◽  
Author(s):  
Maggie-Lee Huckabee ◽  
Inn Sze Low ◽  
Megan J. McAuliffe
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Healthy Participants

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 Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient

2021 ◽  
Vol 4 (2) ◽  
pp. 32
Author(s):  
Heather A. Feldner ◽  
Christina Papazian ◽  
Keshia M. Peters ◽  
Claire J. Creutzfeldt ◽  
Katherine M. Steele
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Inpatient Rehabilitation ◽  
Stroke Survivor ◽  
Structured Interview ◽  
Routine Care ◽  
Stroke Recovery ◽  
Descriptive Case Study ◽  
Sensing Technology

Arm recovery varies greatly among stroke survivors. Wearable surface electromyography (sEMG) sensors have been used to track recovery in research; however, sEMG is rarely used within acute and subacute clinical settings. The purpose of this case study was to describe the use of wireless sEMG sensors to examine changes in muscle activity during acute and subacute phases of stroke recovery, and understand the participant’s perceptions of sEMG monitoring. Beginning three days post-stroke, one stroke survivor wore five wireless sEMG sensors on his involved arm for three to four hours, every one to three days. Muscle activity was tracked during routine care in the acute setting through discharge from inpatient rehabilitation. Three- and eight-month follow-up sessions were completed in the community. Activity logs were completed each session, and a semi-structured interview occurred at the final session. The longitudinal monitoring of muscle and movement recovery in the clinic and community was feasible using sEMG sensors. The participant and medical team felt monitoring was unobtrusive, interesting, and motivating for recovery, but desired greater in-session feedback to inform rehabilitation. While barriers in equipment and signal quality still exist, capitalizing on wearable sensing technology in the clinic holds promise for enabling personalized stroke recovery.

Analysis of Muscle Activity Using Surface Electromyography for Muscle Performance in Manual Lifting Task

2014 ◽  
Vol 564 ◽  
pp. 644-649 ◽  
Author(s):  
Halim Isa ◽  
Rawaida ◽  
Seri Rahayu Kamat ◽  
A. Rohana ◽  
Adi Saptari ◽  
...  
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Biceps Brachii ◽  
Twist Angle ◽  
Erector Spinae ◽  
Manual Lifting ◽  
Experienced Fatigue ◽  
Left And Right ◽  
Lifting Task ◽  
Load Mass

In industries, manual lifting is commonly practiced even though mechanized material handling equipment are provided. Manual lifting is used to transport or move products and goods to a desired place.Improper lifting techniquescontribute to muscle fatigue and low back pain that can lead to work efficiency and low productivity.The objective of this study were to analyze muscle activity in the left and right Erector Spinae, and left and right Biceps Brachii of five female subjects while performing manual lifting taskwithdifferent load mass, lifting height and twist angle.The muscle activitywere measured and analyzed using surface electromyography (sEMG).This study found that the right Biceps Brachii, right and left Erector Spinae experienced fatigue while performingasymmetric lifting (twist angle = 90°) at lifting height of 75 cm and 140 cm with load mass of 5 kg and 10 kg. Meanwhile, the left Biceps Brachii experienced fatigue when the lifting task was set at lifting height of 75 cm, load mass of 5 kg and twist angle of 90°.The load mass and lifting height has a significant influence to Mean Power Frequency (MPF) for left Biceps Brachii, left and right Erector Spinae. This study concluded that reducing the load mass can increase the muscles performance which can extend the transition-to-fatigue stage in the left and right Biceps Brachii and Erector Spinae.

High‐density surface electromyography: A visualization method of laryngeal muscle activity

2019 ◽  
Vol 129 (10) ◽  
pp. 2347-2353 ◽  
Author(s):  
David J. Bracken ◽  
Gladys Ornelas ◽  
Todd P. Coleman ◽  
Philip A. Weissbrod
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
High Density ◽  
Visualization Method ◽  
Laryngeal Muscle ◽  
Density Surface

scholarly journals Surface electromyography comparison of the abdominal hypopressive gymnastics against the prone bridge exercise

2019 ◽  
Vol 12 (3) ◽  
pp. 243-246
Author(s):  
Gonzalo Alfonso Quiroz Sandoval ◽  
Nathalie Tabilo ◽  
Cristóbal Bahamondes ◽  
Pilar Bralic
Keyword(s):  
Abdominal Wall ◽  
Muscle Activity ◽  
Surface Electromyography ◽  
Healthy Subjects ◽  
Muscle Activation ◽  
Transversus Abdominis ◽  
Abdominal Pressure ◽  
Abdominal Muscles ◽  
External Oblique ◽  
Internal Oblique

Objectives: Abdominal hypopressive gymnastics (AHG) is a little-researched method designed to train the muscles of the abdominal wall and pelvic floor under low stress. This study’s objective is to compare levels of muscle activation in AHG against prone bridge by surface electromyography (sEMG) of the abdominal wall muscles. Methods: Twenty healthy subjects were enrolled to measure the muscle activity of the rectus abdominis (RA), transversus abdominis/internal oblique (Tra/IO), and external oblique (EO) during three exercises: prone bridge (PB), orthostatic hypopressive (OH), and hypopressive bridge (HB). Root mean square values normalized to the PB (%PB) as a baseline were used to compare the PB against OH and HB. Results: The median PB ratio (%PB) for the Tra/IO showed –10.31% and +59.7% activation during OH and the HB, respectively, whereas the RA showed –77.8% and +19.3% and the EO –39.8% and +9.8%. Significant differences were found for all muscles except the Tra/IO during the OH. Conclusion: This study’s results suggest that hypopressive exercises facilitate the activation of the Tra/IO similar to bridge exercises while simultaneously reducing RA and EO activity. This suggests that hypopressive training is a valid alternative for activating the abdominal muscles, isolating the Tra/IO at low intra-abdominal pressure.

Sign in / Sign up

Export Citation Format

Share Document