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In this study, improved normalized LMS adaptive filters are proposed to reduce the electromyogram (EMG) noise from ECG signals. The proposed technique mainly uses simple addition and shift operations and achieves considerable speed over other methods based on the LMS method. Simulation result gives by the improved versions of adaptive filter (NLMS, PNLMS, IPNLMS and MPNLS) show superior performance...
This work describes a hybrid adaptive filtering technique, designed to optimize the removal of the electrocardiogram (ECG) from surface electromyography (sEMG) recordings. Using the adaptive noise cancellation technique (ANC), we minimize the error gradient based on combined Time-Frequency filtering enhancements. The validation on artificially prepared signals with a real data basis shows better frequency...
Detected bioelectrical signals are usually contaminated with background noise such as mains supply frequency (50Hz), due to the electrically powered surroundings, and the parasitic currents flowing through the patient's body and the connecting cables. Many Authors have suggested an adaptive filters to suppress the 50Hz noise, but with applying the 50Hz as a reference signal together with the contaminated...
The SEMGs are valuable in the kinetic system, sickness study, and clinical treatment. But the collected EMG signals recordings especially recordings from back muscles are often critically contaminated by the ECG signals and Power-Line Interference. The object of this paper is to reject the noise from the SEMGs signals that recording from the right erector spinae muscle using the adaptive filer technology...
It is imperative to remove baseline wander from Electrocardiogram (ECG) before utilizing it for diagnostic purpose. In this paper, an adaptive filtering based technique is investigated for removal of baseline wander from the ECG signals obtained from a Holter ECG monitor. It uses a reference signal, obtained by adding absolute power spectrum of 3-channel accelerometer output connected to an ECG electrode...
In this paper a new method for removing of Power Line Interference (PLI) and ECG Signal from EMG signal is proposed. This method is designed based on filtering of EMG signal corrupted with interference of power line and ECG (EMG+PLI+ECG), by using Matching Pursuit (MP) that is a time-frequency transform. For this reason, according to the cosine nature of PLI and alternative mode of ECG signal, Cosine...
ECG recordings are often contaminated by high-frequency noises, such as power-line interference, electromyography (EMG) noise, and instrumentation noise. The use of adaptive filters in cancelling the noise requires an external reference to estimate the noise and, in turn, subtracting it from the noisy ECG. However, this is often ineffective due to the fact that the reference signal cannot be well-correlated...
Electromyogram (EMG) is used in various circumstances such as diagnostic and prosthesis control. This paper deals with the diaphragmatic electromyogram (EMGdi) as a controller of mechanical ventilation. However, recorded EMGdi signals are always contaminated by electrocardiogram (ECG). Cancellation of the ECG contamination, especially in real-time, is not a simple operation because the spectra of...
This study uses the signal averaging and filtering method for ECG signal de-noising and R-wave detection with moving minimum slot and maximum point selecting method. Signal averaging and filtering method reduces random noise (major component of EMG noise) in ECG signal and also gives the comparatively good result for baseline wander noise cancellation. Signal to noise ratio (SNR) improves in filtered...
Extracting the diaphragmatic electromyogram (EMG) signal is the key to manufacture the breathing machine in synchrony with patient. However, the diaphragmatic EMG signal is immerged in the electrocardiogram (ECG) signal. The mixed signals composed of EMG signal and ECG signal are obtained from the platform of EMG signal acquisition. Hence, extracting the diaphragmatic EMG signal perfectly is a difficult...
The adaptive noise canceller (ANC) is a commonly used linear system method for noise reduction in cases where the disturbing noise can be separately recorded (reference signal) and is not correlated with the signal of interest. In case of a periodic disturbing signal, special solutions are described in literature. Problems, however, arise when the propagation of the noise from the source to the recording...
In this paper we show how independent component analysis (ICA) algorithms can be used to perform spatio-temporal filtration of electromyographic (EMG) and electrocardiographic (ECG) signals. The technique was used to decompose the EMG signals into motor unit action potential (MUAP) trains. From the 88 outputs of the adaptive spatio-temporal filtration, three groups of different MUAP train patterns...
We investigated elimination of electrocardiogram (ECG) artifacts from the myoelectric prosthesis control signals, taken from the reinnervated pectoralis muscles of a patient with bilateral amputations at shoulder disarticulation level. The performance of various ECG artifact removal methods including high pass filtering, spike clipping, template subtracting, wavelet thresholding and adaptive filtering...
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