This paper introduces an adaptive filtering process based on shrinking wavelet coefficients
from the corresponding signal wavelet representation. The filtering procedure considers a …

The electrocardiogram (ECG) is a biophysical electric signal generated by the heart muscle,
and is one of the major measurements of how well a heart functions. Automatic ECG …

The ECG signal is used for various medical diagnoses. For diagnosis purposes, the ECG
signal must be free from the noise and undesired disturbances. In the present work the best …

Fetal Electrocardiogram Signal Extraction by ANFIS Trained with PSO Method Page 1
International Journal of Electrical and Computer Engineering (IJECE) Vol.2, No.2, April 2012 …

Identification of optimal denoising algorithm for ECG signals using DWT is described. The
parameters are determined by comparing different types of wavelet functions, decomposition …

QRS detection is important because R peak is recognized as the most useful fiducial point in
ECG segmentation. Despite of lot of research effort, the accuracy and robustness of QRS …

The body temperature is normally maintained within a narrow range. In a hot environment,
however, heat gain can exceed heat loss and heat related disorders may occur. Heat …

Neste trabalho é apresentada uma proposta de limiarização para filtragem adaptativa de
sinais por meio do truncamento dos coeficientes wavelets do sinal analisado. O parâmetro …

QRS detection is an important step in electrocardiogram signal processing and analysis.
Despite a lot of research effort, robustness and high detection accuracy still remain open …

The widespread use of the Internet comes accompanied with severe threats for web
applications security. Intrusion Detection Systems (IDS) have been considered to deal with …