Abstract: Electromayogram signals are frequently used to evaluate muscle injuries. They are also ... more Abstract: Electromayogram signals are frequently used to evaluate muscle injuries. They are also used extensively in biofeedback training equipment. This study investigates the electrical activity of muscles and the interrelationship of muscles and nerve fibers. Muscle potentials are observed and measured on an oscilloscope. By placing electrodes in to a skeletal muscle we can monitor the electrical activity of the muscle. EMG is used to detect muscular disorder along with muscular abnormalities caused by other system disease such as nerve dysfunction. Neuro muscular disorder also can be known with the help of EMG. EMG is also used for diagnose of Neuro muscular performance. It is observed that there is alternating relationship between the contractions of biceps and triceps the relaxation of one forces the contraction of the other. EMG signals have been recorded at the various positions like point Biceps, point triceps and point contractions. The frequency range of the muscle spikes...
International journal of engineering science and technology, 2012
Electromayogram signals are frequently used to evaluate muscle injuries. They are also used exten... more Electromayogram signals are frequently used to evaluate muscle injuries. They are also used extensively in biofeedback training equipment. This study investigates the electrical activity of muscles and the interrelationship of muscles and nerve fibers. Muscle potentials are observed and measured on an oscilloscope. By placing electrodes in to a skeletal muscle we can monitor the electrical activity of the muscle. EMG is used to detect muscular disorder along with muscular abnormalities caused by other system disease such as nerve dysfunction. Neuro muscular disorder also can be known with the help of EMG. EMG is also used for diagnose of Neuro muscular performance. It is observed that there is alternating relationship between the contractions of biceps and triceps the relaxation of one forces the contraction of the other. EMG signals have been recorded at the various positions like point Biceps, point triceps and point contractions. The frequency range of the muscle spikes covers a ...
Background: The electrocardiogram has the considerable diagnostic significance, and applications ... more Background: The electrocardiogram has the considerable diagnostic significance, and applications of ECG monitoring are diverse and in wide use. Noises that commonly disturb the basic electrocardiogram are power line interference, instrumentation noise, external electromagnetic field interference, noise due to random body movements and respiration movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. The present paper deals with the digital filtering method to reduce 50 Hz power line noise artifacts in the ECG signal. 4 th order Butterworth notch filters with different 3 dB stop band bandwidth is used to reduce 50 Hz power line noise interference from ECG signals. Method: ECG signal is taken from physionet database. A ECG sign...
International Journal of Electronics Signals and Systems, 2014
Background: The electrocardiogram(ECG) has the considerable diagnostic significance, and applicat... more Background: The electrocardiogram(ECG) has the considerable diagnostic significance, and applications of ECG monitoring are diverse and in wide use. Noises that commonly disturb the basic electrocardiogram are power line interference(PLI), instrumentation noise, external electromagnetic field interference, noise due to random body movements and respiration movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. It is difficult to apply filters with fixed filter co-efficients to reduce these noise. Adaptive filter technique is required to overcome this problem as the filter coefficients can be varied to track the dynamic variations of the signals. Adaptive filter based on the least mean square (LMS) algorithm and recursive least...
International Journal of Electronics Signals and Systems, 2014
Background: It is essential to reduce these disturbances in ECG signal to improve accuracy and re... more Background: It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. The present paper deals with the digital filtering method to reduce 50 Hz power line noise artifacts in the ECG signal. 4th order Butterworth notch filters(BW=.5 Hz) is used to reduce 50 Hz power line noise interference(PLI) from ECG signals and its performance is compared with Adaptve filters. Method: ECG signal is taken from physionet database. ECG signal (with PLI noise of different frequencies) were processed by Butterworth notch filters of bandwidths of 0.5 Hz. Ringing Artifact is observed in the output. ECG signal (with PLI noise of different frequencies) were processed by Adaptive filters no ringing effect seen. Wavelet filtering applied clean ECG were observed. Result: Performance is compared based on SNR and MSE of Butterworth not...
International Journal of Computer Applications, 2020
The ECG signal contain base line wander noise(0.5 to 0.6Hz), breathing noise (5Hz), power line in... more The ECG signal contain base line wander noise(0.5 to 0.6Hz), breathing noise (5Hz), power line interference(50Hz) and EMG noise(above 100Hz).Electrode Motion artifact noise can be reduced by minimizing movement made by the patient. High pass filter can be used to remove base line wander noise with cutoff frequency of 0.6 Hz. High pass filter can be used to remove breathing noise with cutoff frequency of 6 Hz.50 Hz power line interference can be removed using band stop filter. QRS detection is done using differentiation method. Scilab. is used for performing signal processing task of removing common noise in ECG signal. SNR of Input signals with base line wander noise, breathing and PLI noise when passed to FIR(high pass and band stop filter order 51) shows improvement in output SNR.
INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND TECHNOLOGY, 2020
Fast and efficient QRS detection algorithm is a essential prerequisite for analyzing disease rela... more Fast and efficient QRS detection algorithm is a essential prerequisite for analyzing disease related to heart. A study and analysis of first differentiation based QRS detection method, first and second differentiation based QRS detection method and High speed QRS detection method (Hamilton and Tompkins) was done. Algorithms based on differentiation method of QRS detection are efficient as far as computation is concerned. This method can be used for real time analysis of large dataset. On a standard dataset first differentiation method has highest detection accuracy but also the largest time error (Average time error is 12.05ms). For the first and second differentiation based QRS detection method sensitivity and positive predictivity are 96.4 and 97.7, data error rate is 4.64 and Average Time error is 7.26ms.For the third method sensitivity and positive predictivity is 100 percent and data error rate is zero. Average time error is 9.13ms and is having better performance as compared to differentiation based methods.
Abstract: Electromayogram signals are frequently used to evaluate muscle injuries. They are also ... more Abstract: Electromayogram signals are frequently used to evaluate muscle injuries. They are also used extensively in biofeedback training equipment. This study investigates the electrical activity of muscles and the interrelationship of muscles and nerve fibers. Muscle potentials are observed and measured on an oscilloscope. By placing electrodes in to a skeletal muscle we can monitor the electrical activity of the muscle. EMG is used to detect muscular disorder along with muscular abnormalities caused by other system disease such as nerve dysfunction. Neuro muscular disorder also can be known with the help of EMG. EMG is also used for diagnose of Neuro muscular performance. It is observed that there is alternating relationship between the contractions of biceps and triceps the relaxation of one forces the contraction of the other. EMG signals have been recorded at the various positions like point Biceps, point triceps and point contractions. The frequency range of the muscle spikes...
International journal of engineering science and technology, 2012
Electromayogram signals are frequently used to evaluate muscle injuries. They are also used exten... more Electromayogram signals are frequently used to evaluate muscle injuries. They are also used extensively in biofeedback training equipment. This study investigates the electrical activity of muscles and the interrelationship of muscles and nerve fibers. Muscle potentials are observed and measured on an oscilloscope. By placing electrodes in to a skeletal muscle we can monitor the electrical activity of the muscle. EMG is used to detect muscular disorder along with muscular abnormalities caused by other system disease such as nerve dysfunction. Neuro muscular disorder also can be known with the help of EMG. EMG is also used for diagnose of Neuro muscular performance. It is observed that there is alternating relationship between the contractions of biceps and triceps the relaxation of one forces the contraction of the other. EMG signals have been recorded at the various positions like point Biceps, point triceps and point contractions. The frequency range of the muscle spikes covers a ...
Background: The electrocardiogram has the considerable diagnostic significance, and applications ... more Background: The electrocardiogram has the considerable diagnostic significance, and applications of ECG monitoring are diverse and in wide use. Noises that commonly disturb the basic electrocardiogram are power line interference, instrumentation noise, external electromagnetic field interference, noise due to random body movements and respiration movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. The present paper deals with the digital filtering method to reduce 50 Hz power line noise artifacts in the ECG signal. 4 th order Butterworth notch filters with different 3 dB stop band bandwidth is used to reduce 50 Hz power line noise interference from ECG signals. Method: ECG signal is taken from physionet database. A ECG sign...
International Journal of Electronics Signals and Systems, 2014
Background: The electrocardiogram(ECG) has the considerable diagnostic significance, and applicat... more Background: The electrocardiogram(ECG) has the considerable diagnostic significance, and applications of ECG monitoring are diverse and in wide use. Noises that commonly disturb the basic electrocardiogram are power line interference(PLI), instrumentation noise, external electromagnetic field interference, noise due to random body movements and respiration movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. It is difficult to apply filters with fixed filter co-efficients to reduce these noise. Adaptive filter technique is required to overcome this problem as the filter coefficients can be varied to track the dynamic variations of the signals. Adaptive filter based on the least mean square (LMS) algorithm and recursive least...
International Journal of Electronics Signals and Systems, 2014
Background: It is essential to reduce these disturbances in ECG signal to improve accuracy and re... more Background: It is essential to reduce these disturbances in ECG signal to improve accuracy and reliability. The bandwidth of the noise overlaps that of wanted signals, so that simple filtering cannot sufficiently enhance the signal to noise ratio. The present paper deals with the digital filtering method to reduce 50 Hz power line noise artifacts in the ECG signal. 4th order Butterworth notch filters(BW=.5 Hz) is used to reduce 50 Hz power line noise interference(PLI) from ECG signals and its performance is compared with Adaptve filters. Method: ECG signal is taken from physionet database. ECG signal (with PLI noise of different frequencies) were processed by Butterworth notch filters of bandwidths of 0.5 Hz. Ringing Artifact is observed in the output. ECG signal (with PLI noise of different frequencies) were processed by Adaptive filters no ringing effect seen. Wavelet filtering applied clean ECG were observed. Result: Performance is compared based on SNR and MSE of Butterworth not...
International Journal of Computer Applications, 2020
The ECG signal contain base line wander noise(0.5 to 0.6Hz), breathing noise (5Hz), power line in... more The ECG signal contain base line wander noise(0.5 to 0.6Hz), breathing noise (5Hz), power line interference(50Hz) and EMG noise(above 100Hz).Electrode Motion artifact noise can be reduced by minimizing movement made by the patient. High pass filter can be used to remove base line wander noise with cutoff frequency of 0.6 Hz. High pass filter can be used to remove breathing noise with cutoff frequency of 6 Hz.50 Hz power line interference can be removed using band stop filter. QRS detection is done using differentiation method. Scilab. is used for performing signal processing task of removing common noise in ECG signal. SNR of Input signals with base line wander noise, breathing and PLI noise when passed to FIR(high pass and band stop filter order 51) shows improvement in output SNR.
INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND TECHNOLOGY, 2020
Fast and efficient QRS detection algorithm is a essential prerequisite for analyzing disease rela... more Fast and efficient QRS detection algorithm is a essential prerequisite for analyzing disease related to heart. A study and analysis of first differentiation based QRS detection method, first and second differentiation based QRS detection method and High speed QRS detection method (Hamilton and Tompkins) was done. Algorithms based on differentiation method of QRS detection are efficient as far as computation is concerned. This method can be used for real time analysis of large dataset. On a standard dataset first differentiation method has highest detection accuracy but also the largest time error (Average time error is 12.05ms). For the first and second differentiation based QRS detection method sensitivity and positive predictivity are 96.4 and 97.7, data error rate is 4.64 and Average Time error is 7.26ms.For the third method sensitivity and positive predictivity is 100 percent and data error rate is zero. Average time error is 9.13ms and is having better performance as compared to differentiation based methods.
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