scholarly journals KNOWLEDGE BASED DATABASE OF MUSCLE ACTIVITY CHARACTERIZATION USING DIAGNOSTIC ELECTROMYOGRAPHY (D-EMG) SIGNAL

2020 ◽  
Author(s):  
Syed Samser Ali ◽  
Bipasha Chakrabarti Banik ◽  
Priyanka Sarkar Das
Keyword(s):  
Muscle Activity ◽  
Knowledge Based ◽  
Emg Signal

scholarly journals Low-Frequency Oscillations (<0.3 Hz) in the Electromyographic (EMG) Activity of the Human Trapezius Muscle During Sleep

2002 ◽  
Vol 88 (3) ◽  
pp. 1177-1184 ◽  
Author(s):  
R. H. Westgaard ◽  
P. Bonato ◽  
K. A. Holte
Keyword(s):  
Heart Rate ◽  
Muscle Activity ◽  
Activity Pattern ◽  
Sudden Change ◽  
Mean Amplitude ◽  
Activity Level ◽  
Emg Activity ◽  
Similar Frequency ◽  
Emg Signal ◽  
The Mean

The surface electromyographic (EMG) signal from right and left trapezius muscles and the heart rate were recorded over 24 h in 27 healthy female subjects. The root-mean-square (RMS) value of the surface EMG signals and the heartbeat interval time series were calculated with a time resolution of 0.2 s. The EMG activity during sleep showed long periods with stable mean amplitude, modulated by rhythmic components in the frequency range 0.05–0.2 Hz. The ratio between the amplitude of the oscillatory components and the mean amplitude of the EMG signal was approximately constant over the range within which the phenomenon was observed, corresponding to a peak-to-peak oscillatory amplitude of ∼10% of the mean amplitude. The duration of the periods with stable mean amplitude ranged from a few minutes to ∼1 h, usually interrupted by a sudden change in the activity level or by cessation of the muscle activity. Right and left trapezius muscles presented the same pattern of FM. In supplementary experiments, rhythmic muscle activity pattern was also demonstrated in the upper extremity muscles of deltoid, biceps, and forearm flexor muscles. There was no apparent association between the rhythmic components in the muscle activity pattern and the heart rate variability. To our knowledge, this is the first time that the above-described pattern of EMG activity during sleep is documented. On reanalysis of earlier recorded trapezius motor unit firing pattern in experiments on awake subjects in a situation with mental stress, low-FM of firing with similar frequency content was detected. Possible sources of rhythmic excitation of trapezius motoneurons include slow-wave cortical oscillations represented in descending cortico-spinal pathways, and/or activation by monoaminergic pathways originating in the brain stem reticular formation. The analysis of muscle activity patterns may provide an important new tool to study neural mechanisms in human sleep.

scholarly journals Integrated Measurement System of Postural Angle and Electromyography Signal for Manual Materials Handling Assessment

2021 ◽  
Vol 13 (6) ◽  
Author(s):  
Isa Halim ◽  
◽  
Adi Saptari ◽  
Mohd Fairil Abulais ◽  
Vinothini Padmanathan ◽  
...  
Keyword(s):  
Measurement System ◽  
Muscle Activity ◽  
Integrated System ◽  
Body Posture ◽  
Microsoft Kinect ◽  
Industrial Workers ◽  
Materials Handling ◽  
Emg Signal ◽  
Manual Materials Handling ◽  
Effort Assessment

Improper design of manual materials handling (MMH) tasks at workplace can cause musculoskeletal disorders such as muscle strain to industrial workers. To avoid these disorders, ergonomists and engineers require an integrated measurement system which allows them to study the interaction of body posture and muscle effort during performing MMH tasks. However, far too little attention has been paid to develop an integrated measurement system of body posture and muscle activity for assessing MMH tasks. The aim of this study was to develop and test a prototype of integrated system for measuring postural angles and electromyography (EMG) signals of a worker who doing MMH tasks. The Microsoft Visual Studio software, a 3D camera (Microsoft Kinect), Advancer Technologies muscle sensors and a microcontroller (NI DAQ USB-6000) were applied to develop the integrated postural angle and EMG signal measurement system. Additionally, a graphical user interface was created in the system to enable users to perform body posture and muscle effort assessment simultaneously. Based on the testing results, this study concluded that the patterns of EMG signals are depending on the postural angles which consistent with the findings of established works. Further study is required to enhance the validity, reliability and usability of the prototype so that it may facilitate ergonomists and engineers to assess work posture and muscle activity during MMH task.

Information-based analysis of the relation between human muscle reaction and walking path

2020 ◽  
Vol 28 (6) ◽  
pp. 675-684 ◽  
Author(s):  
Shahul Mujib Kamal ◽  
Norazryana Binti Mat Dawi ◽  
Sue Sim ◽  
Rui Tee ◽  
Visvamba Nathan ◽  
...  
Keyword(s):  
Nervous System ◽  
Information Content ◽  
Muscle Activity ◽  
Human Muscle ◽  
Complex Structures ◽  
Entropy Analysis ◽  
Movement Path ◽  
Leg Muscles ◽  
Emg Signal ◽  
Leg Muscle

BACKGROUND: Walking is one of the important actions of the human body. For this purpose, the human brain communicates with leg muscles through the nervous system. Based on the walking path, leg muscles act differently. Therefore, there should be a relation between the activity of leg muscles and the path of movement. OBJECTIVE: In order to address this issue, we analyzed how leg muscle activity is related to the variations of the path of movement. METHOD: Since the electromyography (EMG) signal is a feature of muscle activity and the movement path has complex structures, we used entropy analysis in order to link their structures. The Shannon entropy of EMG signal and walking path are computed to relate their information content. RESULTS: Based on the obtained results, walking on a path with greater information content causes greater information content in the EMG signal which is supported by statistical analysis results. This allowed us to analyze the relation between muscle activity and walking path. CONCLUSION: The method of analysis employed in this research can be applied to investigate the relation between brain or heart reactions and walking path.

scholarly journals An Electromyographic Study of the Hip Abductor Muscles as Subjects With a Hip Prosthesis Walked With Different Methods of Using a Cane and Carrying a Load

1999 ◽  
Vol 79 (12) ◽  
pp. 1163-1173 ◽  
Author(s):  
Donald A Neumann
Keyword(s):  
Body Weight ◽  
Muscle Activity ◽  
Hip Prosthesis ◽  
Load Condition ◽  
Surface Emg ◽  
Emg Activity ◽  
Emg Signal ◽  
Hip Abductor ◽  
Load Conditions

Abstract Background and Purpose. Certain methods of carrying handheld loads or using a cane can reduce the demands placed on the hip abductor (HA) muscles and the loads on the underlying prosthetic hip. In certain conditions, unusually large forces from the HA muscles may contribute to premature loosening of a prosthetic hip. The purpose of this study was to examine HA use by measuring the amplitude of the electromyographic (EMG) signal from the HA muscles as subjects carried a load and simultaneously used a cane. Subjects. Twenty-four active subjects (mean age=63.3 years, SD=10.7, range=40–86) with a unilateral prosthetic hip were tested. Methods. The HA muscle surface EMG activity was analyzed as subjects carried loads weighing 5%, 10%, or 15% of body weight held by either their contralateral or ipsilateral arm relative to their prosthetic hip. They simultaneously used a cane with their free hand. Results. The contralateral cane and ipsilateral load conditions produced HA muscle EMG activity that was approximately 40% less than the EMG activity produced while walking without carrying a load or using a cane. Conclusion and Discussion. People who are in danger of premature loosening of their prosthetic hip should, if possible, avoid carrying loads. If a load must be carried, however, then the contralateral cane and ipsilateral load condition appears to minimize the loads placed on the prosthetic hip due to HA muscle activity.

scholarly journals Quantification of the Differences in Electromyographic Activity Magnitude Between the Upper and Lower Portions of the Rectus Abdominis Muscle During Selected Trunk Exercises

2001 ◽  
Vol 81 (5) ◽  
pp. 1096-1101 ◽  
Author(s):  
Gregory J Lehman ◽  
Stuart M McGill
Keyword(s):  
Muscle Activity ◽  
Abdominal Muscle ◽  
Rectus Abdominis ◽  
Oblique Muscle ◽  
Emg Activity ◽  
Electromyographic Activity ◽  
Rectus Abdominis Muscle ◽  
Emg Signal ◽  
External Oblique Muscle ◽  
External Oblique

Abstract Background and Purpose. Controversy exists around exercises and clinical tests that attempt to differentially activate the upper or lower portions of the rectus abdominis muscle. The purpose of this study was to assess the activation of the upper and lower portions of the rectus abdominis muscle during a variety of abdominal muscle contractions. Subjects. Subjects (N=11) were selected from a university population for athletic ability and low subcutaneous fat to optimize electromyographic (EMG) signal collection. Methods. Controlling for spine curvature, range of motion, and posture (and, therefore, muscle length), EMG activity of the external oblique muscle and upper and lower portions of rectus abdominis muscle was measured during the isometric portion of curl-ups, abdominal muscle lifts, leg raises, and restricted or attempted leg raises and curl-ups. A one-way repeated-measures analysis of variance was used to test for differences in activity between exercises in the external oblique and rectus abdominis muscles as well as between the portions of the rectus abdominis muscle. Results. No differences in muscle activity were found between the upper and lower portions of the rectus abdominis muscle within and between exercises. External oblique muscle activity, however, showed differences between exercises. Discussion and Conclusion. Normalizing the EMG signal led the authors to believe that the differences between the portions of the rectus abdominis muscle are small and may lack clinical or therapeutic relevance.

EMG for Subtle, Intimate Interfaces

2008 ◽  
pp. 524-542
Author(s):  
Enrico Costanza ◽  
Samuel A. Inverso ◽  
Rebecca Allen ◽  
Pattie Maes
Keyword(s):  
Muscle Contraction ◽  
Muscle Activity ◽  
Experimental Results ◽  
Input Device ◽  
Multimodal Interface ◽  
Volitional Control ◽  
Upper Arm ◽  
Input Modality ◽  
Emg Signal ◽  
Mobile Interfaces

Mobile interfaces should be designed to enable subtle, discreet, and unobtrusive interaction. Biosignals and, in particular, the electromyographic (EMG) signal, can provide a subtle input modality for mobile interfaces. The EMG signal is generated by a muscle contraction and can be used for volitional control; its greatest potential for mobile interfaces is its ability to sense muscle activity not related to movement. An EMG-based wearable input device, the Intimate Communication Armband, is presented in this chapter to demonstrate this subtle interaction concept. The device detects subtle, motionless gestures from the upper arm. Experimental results show that the gestures are reliably recognized without user or machine training, that the system can be used effectively to control a multimodal interface, and that it is very difficult for observers to guess when a trained user is performing subtle gestures, confirming the subtlety of the proposed interaction.

Design of Myocontrolled Neuroprosthesis

2014 ◽  
pp. 275-303 ◽  
Author(s):  
Emilia Ambrosini ◽  
Simona Ferrante ◽  
Alessandro Pedrocchi
Keyword(s):  
Electrical Stimulation ◽  
Muscle Activity ◽  
Voluntary Movement ◽  
Control Strategies ◽  
Point Of View ◽  
Therapeutic Effects ◽  
Emg Signal ◽  
Stimulation Parameters ◽  
Neurological Patients ◽  
Clinical Environments

Recent studies suggest that the therapeutic effects of Functional Electrical Stimulation (FES) are maximized when the patterned electrical stimulation is delivered in close synchrony with the attempted voluntary movement. FES systems that modulate stimulation parameters based on the residual volitional muscle activity would assure this combination. However, the development of such a system might be not trivial, both from a hardware and a software point of view. This chapter provides an extensive overview of devices and filtering solutions proposed in the literature to estimate the residual volitional EMG signal in the presence of electrical stimulation. Different control strategies to modulate FES parameters as well as the results of the first studies involving neurological patients are also presented. This chapter provides some guidelines to help people who want to design innovative myocontrolled neuroprostheses and might favor the spread of these solutions in clinical environments.

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