Living tissues are highly heterogeneous, with very specific properties; and in order to determine the interactions between electromagnetic fields generated by different sources to which we are exposed, it is imperative to be able to calculate the induced electromagnetic currents and to find out the resulting reactions. To apprehend the field nuisance on people’s health, this paper highlights some of these effects from a simulation study of biological tissues (muscle sample) subjected to the electromagnetic field created by a 440 kV HV line. Induced currents in these tissues and their effects on blood microcirculation will be emphasized

Living tissues are highly heterogeneous, with very specific properties; and in order to determine the interactions between electromagnetic fields generated by different sources to which we are exposed, it is imperative to be able to calculate the induced electromagnetic currents and to find out the resulting reactions. To apprehend the field nuisance on people’s health, this paper highlights some of these effects from a simulation study of biological tissues (muscle sample) subjected to the electromagnetic field created by a 440 kV HV line. Induced currents in these tissues and their effects on blood microcirculation will be emphasized

Living tissues are highly heterogeneous, with very specific properties; and in order to determine the interactions between electromagnetic fields generated by different sources to which we are exposed, it is imperative to be able to calculate the induced electromagnetic currents and to find out the resulting reactions. To apprehend the field nuisance on people’s health, this paper highlights some of these effects from a simulation study of biological tissues (muscle sample) subjected to the electromagnetic field created by a 440 kV HV line. Induced currents in these tissues and their effects on blood microcirculation will be emphasized

Living tissues are highly heterogeneous, with very specific properties; and in order to determine the interactions between electromagnetic fields generated by different sources to which we are exposed, it is imperative to be able to calculate the induced electromagnetic currents and to find out the resulting reactions. To apprehend the field nuisance on people’s health, this paper highlights some of these effects from a simulation study of biological tissues (muscle sample) subjected to the electromagnetic field created by a 440 kV HV line. Induced currents in these tissues and their effects on blood microcirculation will be emphasized

Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this paper, the well-known discrete Fourier series (DFS) is re-explored and an efficient DFS-based method is proposed to reduce contribution of both baseline wander (BW) and powerline interference (PLI) noises in ECG records. In the first step, the determination of the exact number of low frequency harmonics contributing in BW is achieved. Next, the baseline drift is estimated by the sum of all associated Fourier sinusoids components. Then, the baseline shift is discarded efficiently by a subtraction of its approximated version from the original biased ECG signal. Concerning the PLI, the subtraction of the contributing harmonics calculated in the same manner reduces efficiently such type of noise. In addition of visual quality results, the proposed algorithm shows superior performance in terms of higher signal-to-noise ratio and smaller mean square error when faced to the DCT-based algorithm.

Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this paper, the well-known discrete Fourier series (DFS) is re-explored and an efficient DFS-based method is proposed to reduce contribution of both baseline wander (BW) and powerline interference (PLI) noises in ECG records. In the first step, the determination of the exact number of low frequency harmonics contributing in BW is achieved. Next, the baseline drift is estimated by the sum of all associated Fourier sinusoids components. Then, the baseline shift is discarded efficiently by a subtraction of its approximated version from the original biased ECG signal. Concerning the PLI, the subtraction of the contributing harmonics calculated in the same manner reduces efficiently such type of noise. In addition of visual quality results, the proposed algorithm shows superior performance in terms of higher signal-to-noise ratio and smaller mean square error when faced to the DCT-based algorithm.