The Experts below are selected from a list of 762 Experts worldwide ranked by ideXlab platform
G Mihov - One of the best experts on this subject based on the ideXlab platform.
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SUBTRACTION METHOD FOR Powerline INTERFERENCE REMOVING FROM ECG
2015Co-Authors: Chavdar Levkov, G Mihov, Iv Dotsinsky, Ratcho Ivanov, Ivan K. Daskalov, Ivaylo Christov, In Memoriam, Professor Ivan, Konstantinov DaskalovAbstract:This paper presents the subtraction method for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the method does not affect the signal Frequency components around the rated Powerline Frequency. The method searches for linear segments in the ECG signal. Then a digital filter is used to remove the interference from these segments. The samples of the interference signal are computed in these segments and later on these samples are used to remove by subtraction the interference from the signal where non-linear segments are encountered. A theoretical generalised approach of the method is developed in the paper. 1
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subtraction procedure for removing Powerline interference from ecg dynamic threshold linearity criterion for interference suppression
BioMedical Engineering and Informatics, 2011Co-Authors: G MihovAbstract:This paper presents the subtraction procedure for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the method does not affect the signal Frequency components around the rated Powerline Frequency. The method searches for linear segments in the ECG signal. Then a digital filter is used to remove the interference from these segments. The samples of the interference signal are computed in these segments and later on these samples are used to remove by subtraction the interference from the signal where non-linear segments are encountered. The detection of linear segments in ECG signals is the most important stage. It is performed by a criterion for linearity using second differences of the sampled signal. Applying automatic adaptation of the ‘linearity criterion’ value in accordance to the signal altitude, the best conditions for application of the procedure can be obtained.
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subtraction procedure for Powerline interference removing from ecg improvement for non multiple sampling
Journal of Medical Engineering & Technology, 2005Co-Authors: G Mihov, Iv Dotsinsky, Ts GeorgievaAbstract:This paper presents an improvement of the subtraction procedure for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the procedure does not affect the signal Frequency components around the rated Powerline Frequency. Originally, the procedure was developed for multiplicity between the sampling rate and the interference Frequency. We analysed and improved the procedure structure in cases of non-multiple sampling, introducing a set of specially designed filters. Thus the implementation of the subtraction procedure is extended to almost all possible cases of sampling rate and interference Frequency variation. The procedure has been adapted for online implementation. The research was initially carried out in a MATLAB environment. Further, programmes have been written in C + + language for digital signal processors and personal computers. The results obtained with real ECG signals show high efficiency of the interference cancellation.
Ts Georgieva - One of the best experts on this subject based on the ideXlab platform.
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subtraction procedure for Powerline interference removing from ecg improvement for non multiple sampling
Journal of Medical Engineering & Technology, 2005Co-Authors: G Mihov, Iv Dotsinsky, Ts GeorgievaAbstract:This paper presents an improvement of the subtraction procedure for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the procedure does not affect the signal Frequency components around the rated Powerline Frequency. Originally, the procedure was developed for multiplicity between the sampling rate and the interference Frequency. We analysed and improved the procedure structure in cases of non-multiple sampling, introducing a set of specially designed filters. Thus the implementation of the subtraction procedure is extended to almost all possible cases of sampling rate and interference Frequency variation. The procedure has been adapted for online implementation. The research was initially carried out in a MATLAB environment. Further, programmes have been written in C + + language for digital signal processors and personal computers. The results obtained with real ECG signals show high efficiency of the interference cancellation.
Iv Dotsinsky - One of the best experts on this subject based on the ideXlab platform.
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SUBTRACTION METHOD FOR Powerline INTERFERENCE REMOVING FROM ECG
2015Co-Authors: Chavdar Levkov, G Mihov, Iv Dotsinsky, Ratcho Ivanov, Ivan K. Daskalov, Ivaylo Christov, In Memoriam, Professor Ivan, Konstantinov DaskalovAbstract:This paper presents the subtraction method for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the method does not affect the signal Frequency components around the rated Powerline Frequency. The method searches for linear segments in the ECG signal. Then a digital filter is used to remove the interference from these segments. The samples of the interference signal are computed in these segments and later on these samples are used to remove by subtraction the interference from the signal where non-linear segments are encountered. A theoretical generalised approach of the method is developed in the paper. 1
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subtraction procedure for Powerline interference removing from ecg improvement for non multiple sampling
Journal of Medical Engineering & Technology, 2005Co-Authors: G Mihov, Iv Dotsinsky, Ts GeorgievaAbstract:This paper presents an improvement of the subtraction procedure for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the procedure does not affect the signal Frequency components around the rated Powerline Frequency. Originally, the procedure was developed for multiplicity between the sampling rate and the interference Frequency. We analysed and improved the procedure structure in cases of non-multiple sampling, introducing a set of specially designed filters. Thus the implementation of the subtraction procedure is extended to almost all possible cases of sampling rate and interference Frequency variation. The procedure has been adapted for online implementation. The research was initially carried out in a MATLAB environment. Further, programmes have been written in C + + language for digital signal processors and personal computers. The results obtained with real ECG signals show high efficiency of the interference cancellation.
Konstantinov Daskalov - One of the best experts on this subject based on the ideXlab platform.
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SUBTRACTION METHOD FOR Powerline INTERFERENCE REMOVING FROM ECG
2015Co-Authors: Chavdar Levkov, G Mihov, Iv Dotsinsky, Ratcho Ivanov, Ivan K. Daskalov, Ivaylo Christov, In Memoriam, Professor Ivan, Konstantinov DaskalovAbstract:This paper presents the subtraction method for interference cancellation in ECG. In contrast to the well-known hardware and software filters, the method does not affect the signal Frequency components around the rated Powerline Frequency. The method searches for linear segments in the ECG signal. Then a digital filter is used to remove the interference from these segments. The samples of the interference signal are computed in these segments and later on these samples are used to remove by subtraction the interference from the signal where non-linear segments are encountered. A theoretical generalised approach of the method is developed in the paper. 1
Brian L Evans - One of the best experts on this subject based on the ideXlab platform.
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cyclostationary noise modeling in narrowband Powerline communication for smart grid applications
International Conference on Acoustics Speech and Signal Processing, 2012Co-Authors: Marcel Nassar, Anand G Dabak, Il Han Kim, Tarkesh Pande, Brian L EvansAbstract:A Smart Grid intelligently monitors and controls energy flows in an electric grid. Having up-to-date distributed readings of grid conditions helps utilities efficiently scale generation up or down to meet demand. Narrowband Powerline communication (PLC) systems can provide these up-to-date readings from subscribers to the local utility over existing power lines. A key challenge in PLC systems is overcoming additive non-Gaussian noise. In this paper, we propose to use a cyclostationary model for the dominant component of additive non-Gaussian noise. The key contributions are (1) fitting measured data from outdoor narrowband PLC system field trials to a cyclostationary model, and (2) developing a cyclostationary noise generation model that fits measured data. We found that the period in the cyclostationary model matched half of the period of the main Powerline Frequency, which is consistent with previous work in indoor PLC additive noise modeling.