Influence of Different Strategies of Treatment Muscle Contraction and Relaxation Phases on EMG Signal Processing and Analysis During Cyclic Exercise

Altimari, Leandro Ricardo; Bigliassi, Marcelo; Kanthack, Thiago Ferreira Dias; Moraes, Antônio Carlos de; Abrão, Taufik

doi:10.5772/50599

Cited by 11 publications

(9 citation statements)

References 16 publications

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“…Pre-processing of sEMG signal: Any DC offset was first eliminated using the “detrend” function in MATLAB. Then, a median filter was applied to the signal to remove noise ( Feleke et al, 2021 ), followed by the application of a 20–450-Hz bandpass filter to extract the frequency range where muscular energy is concentrated ( Altimari et al, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

“…Pre-processing of sEMG signal: Any DC offset was first eliminated using the "detrend" function in MATLAB. Then, a median filter was applied to the signal to remove noise (Feleke et al, 2021), followed by the application of a 20-450-Hz bandpass filter to extract the frequency range where muscular energy is concentrated (Altimari et al, 2012). 2. sEMG rectification and linear envelope: sEMG signal values below zero were converted to positive values of the same amplitude to create a full-wave rectified sEMG signal (see Figure 2).…”

Section: Electromyographymentioning

confidence: 99%

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The influence of smoothness and speed of stand-to-sit movement on joint kinematics, kinetics, and muscle activation patterns

Jeon,

Dong,

Dalby

et al. 2024

Front. Hum. Neurosci.

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BackgroundStand-to-sit (StandTS) is an important daily activity widely used in rehabilitation settings to improve strength, postural stability, and mobility. Modifications in movement smoothness and speed significantly influence the kinematics, kinetics, and muscle activation patterns of the movement. Understanding the impact of StandTS speed and smoothness on movement control can provide valuable insights for designing effective and personalized rehabilitation training programs.Research questionHow do the smoothness and speed of StandTS movement affect joint kinematics, kinetics, muscle activation patterns, and postural stability during StandTS?MethodsTwelve healthy younger adults participated in this study. There were two StandTS conditions. In the reference condition, participants stood in an upright position with their feet positioned shoulder-width apart on the force plate. Upon receiving a visual cue, participants performed StandTS at their preferred speed. In the smooth condition, participants were instructed to perform StandTS as smoothly as possible, aiming to minimize contact pressure on the seat. Lower leg kinetics, kinematics, and coordination patterns of muscle activation during StandTS were measured: (1) angular displacement of the trunk, knee, and hip flexion; (2) knee and hip extensor eccentric work; (3) muscle synergy pattern derived from electromyography (EMG) activity of the leg muscles; and (4) postural sway in the anterior–posterior (A-P), medio-lateral (M-L), and vertical directions.ResultsCompared to the reference condition, the smooth condition demonstrated greater eccentric knee extensor flexion and increased joint work in both the knee and hip joints. Analysis of specific muscle synergy from EMG activity revealed a significant increase in the relative contribution of hip joint muscles during the smooth condition. Additionally, a negative correlation was observed between knee extensor and vertical postural sway, as well as hip extensor work and M-L postural sway.ConclusionSmooth StandTS facilitates enhanced knee eccentric control and increased joint work at both the hip and knee joints, along with increased involvement of hip joint muscles to effectively manage falling momentum during StandTS. Furthermore, the increased contributions of knee and hip joint work reduced postural sway in the vertical and M-L directions, respectively. These findings provide valuable insights for the development of targeted StandTS rehabilitation training.

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Section: Methodsmentioning

confidence: 99%

Section: Electromyographymentioning

confidence: 99%

The influence of smoothness and speed of stand-to-sit movement on joint kinematics, kinetics, and muscle activation patterns

Jeon,

Dong,

Dalby

et al. 2024

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…First, the EMG signal is measured by the Bagnoli-4 EMG System of DELSYS Co. The measured EMG signal is obtained by the data acquisition system (DAQ USB-6009) of National Instrument Co. Based on the Nyquist theory, the sampling frequency was set to 1 kHz because the frequency of the human muscle is mainly between 20 Hz and 450 Hz [19][20][21].…”

Section: Emg Signal Processingmentioning

confidence: 99%

“…Based on the Nyquist theory, the sampling frequency was set to 1 kHz because the frequency of the human muscle is mainly between 20 Hz and 450 Hz [19][20][21]. In general, there are two types of rectification methods in EMG signal processing; the one is a half-wave rectification to exclude negative signal, and the other is a full-wave rectification that converts both the positive and negative halves of the signal to positive.…”

Section: Emg Signal Processingmentioning

confidence: 99%

Compliance Control of Slave Manipulator Using EMG Signal for Telemanipulation

Ahn

Yang

2020

Applied Sciences

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Telemanipulation systems have been widely utilized in industrial, surgical, educational, and even military fields. One of the important issues is that when a robot interacts with environment or objects, it can damage the robot itself or the objects due to hard contact. To address this problem, we propose a novel compliance control of a slave robot using the electromyography (EMG) signal, which is measured by the sensors attached onto the master operator’s arm. The EMG signal is used since it is easy to process and it provides humans with an intuitive capability to perform the operational work. Furthermore, it has been proved that the EMG signal is useful in the control of the stiffness of the slave robot. This research identifies the muscle that is the best suitable to a precision-grip operation, and a series of experiments were performed. A compliance control algorithm with a variable stiffness of a slave robot is proposed, where the stiffness is changed based on the EMG signal, and it is confirmed by a series of experiments using a two-channel force/position teleoperation architecture.

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“…Full-wave rectification was more recommended because there was no missing value in EMG data. [8] After orientation and EMG data applied some filter of its own, all the data ready to calculate by Moment invariant method. Moment invariant method consists of Mean, Median, Variance, Standard Deviation, Skewness, and Kurtosis.…”

Section: Figure 2 Feature Extraction Sub Processesmentioning

confidence: 99%

Hand Gesture Recognition for Indonesian Sign Language Interpreter System With Myo Armband Using Support Vector Machine

Anwar

Basuki

Sigit

2020

klik

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Hand gestures are the communication ways for the deaf people and the other. Each hand gesture has a different meaning. In order to better communicate, we need an automatic translator who can recognize hand movements as a word or sentence in communicating with deaf people. This paper proposes a system to recognize hand gestures based on Indonesian Sign Language Standard. This system uses Myo Armband as hand gesture sensors. Myo Armband has 21 sensors to express the hand gesture data. Recognition process uses a Support Vector Machine (SVM) to classify the hand gesture based on the dataset of Indonesian Sign Language Standard. SVM yields the accuracy of 86.59% to recognize hand gestures as sign language.Keywords: Hand Gesture Recognition, Feature Extraction, Indonesian Sign Language, Myo Armband, Moment Invariant

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Influence of Different Strategies of Treatment Muscle Contraction and Relaxation Phases on EMG Signal Processing and Analysis During Cyclic Exercise

Cited by 11 publications

References 16 publications

The influence of smoothness and speed of stand-to-sit movement on joint kinematics, kinetics, and muscle activation patterns

The influence of smoothness and speed of stand-to-sit movement on joint kinematics, kinetics, and muscle activation patterns

Compliance Control of Slave Manipulator Using EMG Signal for Telemanipulation

Hand Gesture Recognition for Indonesian Sign Language Interpreter System With Myo Armband Using Support Vector Machine

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