Muscle Power Signal Acquisition Monitoring Using Surface EMG (original) (raw)
Related papers
Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application
Analysis of electromyogram (EMG) signal processing and its application to identify human muscle strength of rehabilitation purpose has been successfully carried out in this paper. Single channel EMG signal was obtained from human muscle using non-invasive electrodes and further process by signal acquisition circuit to get a suitable signal to be process. In the first part of signal acquisition, the amplification circuit for the small EMG signal has been design successfully. After amplification stage EMG signal was digitized through analogue and digital converter (ADC) then further process in microcontroller (ATmega328) for getting accurate EMG signal. Finally, the processed EMG signal was classified into 6 different levels in order to display the muscle strength level of the user. This EMG device can be used to help the weak person or an elderly to identity their strength level of muscle for clinical rehabilitation purpose.
Surface Electromyography Signal Processing and Application: A Review
Electromyography (EMG) is a study of muscles function through analysis of electrical activity produced from muscles. This electrical activity which is displayed in form of signal is the result of neuromuscular activation associated with muscle contraction. The most common techniques of EMG signal recording are by using surface and needle/wire electrode where the latter is usually used for interest in deep muscle. This paper will focus on surface electromyography (SEMG) signal. During SEMG recording, several problems had to be encountered such as noise, motion artifact and signal instability. Thus, various signal processing techniques had been implemented to produce a reliable signal for analysis. There are also broad applications of SEMG signal particularly in biomedical field. The SEMG signal had been analyzed and studied for various interests such as neuromuscular disease, enhancement of muscular function and human-computer interface.
Review Of Surface Electromyogram Signals: Its Analysis And Applications
2013
Electromyography (EMG) is the study of muscles function through analysis of electrical activity produced from muscles. This electrical activity which is displayed in the form of signal is the result of neuromuscular activation associated with muscle contraction. The most common techniques of EMG signal recording are by using surface and needle/wire electrode where the latter is usually used for interest in deep muscle. This paper will focus on surface electromyogram (SEMG) signal. During SEMG recording, several problems had to been countered such as noise, motion artifact and signal instability. Thus, various signal processing techniques had been implemented to produce a reliable signal for analysis. SEMG signal finds broad application particularly in biomedical field. It had been analyzed and studied for various interests such as neuromuscular disease, enhancement of muscular function and human-computer interface.
International Journal of E-Health and Medical Communications, 2010
Electromygraph or EMG is a device used to measure and record muscle signal. The developments of microelectronics allow the design and realization of such a device with current off-shelf components. The authors developed system consists of multi-channel analog circuitry and is microcontroller based to facilitate connectivity with a computer or laptop as a recording platform. From this developed system, the authors further improve the system by referring to the previous result. One of the improvements is the user controllable gain of each channel. However, beyond the improvement to the system, the use it in an acupuncture experiment for recording muscle signal during the acupuncture process. This paper also explores the possibility of implementing muscle signal as a control for an assistive system and integrating it for an integrated bio-signal recording system.
Surface Electromyography (EMG) Signal Acquisition
2010
The aim of this project is to develop technology to acquire signal from the surface electromyography based on the muscle activity. SEMG, the Surface Electromyography, is a non-invasive technique aimed at detecting and/or inferring EMG signal acquired from surface of the skin underlying the human muscle. In this research, the signal is analyzed using MATLAB was created to study on the EMG signal acquired. By designing a system that will acquire the sEMG (Surface Electromyography) signal from the human hand into software named MATLAB to perform an analysis on the muscle activity, to control the signal obtain and perform filtering to the signal acquire. From there, an experiment will be conducted to a group of people to look into the comparison of the muscle strength of an individual from the analysis data acquired from the surface EMG. The final form of the projects consists of a successful finding on how the signal acquisition from the surface EMG can be acquired from the system and the performance of the muscles can be determined. iv ACKNOWLEDGEMENT Praise to Allah for giving the opportunity to me to accomplish my Final Year Project on Surface Electromyography (EMG) Signal Acquisition. Firstly, I like to express my deepest appreciation to Universiti Teknologi PETRONAS (UTP) for providing a stimulating environment to do all the work. I would also like to express my whole heart gratitude and profound thanks to my supervisor, Dr. Irraivan all Elamvazuthi for giving her such a wonderful opportunity to work on such an interesting research and for his guidance and perseverance throughout this project. It is through the help of him that made this research leads to a successful project to work into. Thanks to the Electrical & Electronics lab technician, especially Puan Siti Hawa bt Haji Tahir for her contribution in term of preparation of the documentation and her knowledge that assist us toward the completion. Lastly, thanks to my parents and colleagues for their endless love and support given.
Surface EMG Signal Amplification and Filtering
Electromyographic (EMG) signals have been widely employed as a control signal in rehabilitation and a means of diagnosis in health care. Signal amplification and filtering is the first step in surface EMG signal processing and application systems. The characteristics of the amplifiers and filters determine the quality of EMG signals. Up until now, searching for better amplification and filtering circuit design that is able to accurately capture the features of surface EMG signals for the intended applications is still a challenging. With the fast development in computer sciences and technologies, EMG signals are expected to be used and integrated within small or even tiny intelligent, automatic, robotic, and mechatronics systems. This research focused on small size amplification and filtering circuit design for processing surface EMG signals from an upper limb and aimed to fix the amplifiers and filters inside a robotic hand with limited space to command and control the robot hand movement. The research made a study on the commonly used methodologies for EMG signal processing and circuitry design and proposed a circuit design for EMG signal amplification and filtering. High-pass filters including second-order and fourth-order with the suppression to low frequency noises are studied. The analysis, verification and experiment showed that a second-order high-pass filter can adequately suppress the low frequency noises. The proposed amplification and filtering circuit design is able to effectively clean the noises and collect the useful surface EMG signals from an upper limb. The experiment also clearly revealed that power line interference needs to be carefully handled for higher signal-noise-ratio (SNR) as a notch-filter might cause the loss of useful signal components. Commercial computer software such as LabView and Matlab were used for data acquisition software development and data analysis.
The Design of EMG Measurement System for Arm Strength Training Machine
Mathematical Problems in Engineering, 2015
The setup of interactive communication between arm strength training machine and the people will make exercise and rehabilitation therapy become more friendly. The employment of electromyographic not only can help physical therapy but also can achieve more effective rehabilitation. Both of the system hardware and software of the arm strength training machine with EMG system are well designed and described. The fundamental design of electromyographic measurement system based on a microcontroller is analyzed and discussed. The software programming is developed in MPLAB integrated development environment from the Microchip Technology Inc. and the friendly user interface is created as well. Finally, an arm strength training machine with electromyographic control system is realized and demonstrated. The experimental results show the feasibility and fidelity of the complete designed system.
2017
Electromyography (EMG) is a technique used in electro-diagnostic therapy by recording and evaluating the skeletal muscle electrical activity. When muscle cells are activated, electric potential, which is produced by these cells, is detected via an electromyography. These signals can be use analyzing of medical activation levels, anomalies and detection of recruitment order. At the same time they can used to make analyses of biomechanics motions of human or animals. In this study, it was developed a real time EMG data acquisition system based on threshold level. Firstly, it was generated an EMG sensor and it was obtained EMG signals by communication between Arduino and LabVIEW interface by using muscle electrodes. It was purposed to use for developing of a low-cost real-time application in laboratory for biomedical technologies education.
evelopment of Lower Extremity Electromyogram (EMG) System Analysis
— Development of lower extremity electromyogram (EMG) system and analyse the signal that obtained to identify the lower extremity of human muscle balance or imbalance purpose has been successfully carried out in this paper. Raw EMG signal was detected from lower extremity human muscle using electrodes and the signal detected will be processed by signal acquisition circuit to get a proper signal to analyse. There are three part of signal acquisition, the first part is the amplification circuit that use to amplified the insignificant EMG signal. The second and third part is the high-pass and low-pass filter that use to filter out the EMG signal that need for the analysis. After the suitable EMG signal had obtained, it will go through analogue and digital converter (ADC) then further process in Matlab. Finally, the median frequency of the EMG signal will be use to analyse and show the comparison between a healthy walking data and the signal data that detected. This EMG device can be used to detect the user walking pattern will lead to any possibilities of muscle imbalance.
Design of Wearable, Low Power, Single Supply Surface EMG Extractor Unit for Wireless Monitoring
2011 International Conference on Nanotechnology and Biosensors, 2011
Aim of this paper is to design a low power, single supply wearable EMG extractor unit for wireless EMG monitoring. Preamplifier section is designed with instrumentation operational amplifier AD623 located at the site of extraction through Biopotential electrode. Acquisition and processing of multichannel EMG signal is done by ATMEGA 8 processor. Data is transmitted to computer with c#.net platform for signal processing and visualization through RF module. Surface EMG amplitude and torque about elbow joint under yielding isometric contraction measured is used as a parameter to study nature of bicep muscle which also verifies system design. Design features suites its application in gait analysis, orthotic and prosthetic design, ergonomic and rehabilitation processes.