Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...

unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

Electrocardiogram is commonly used to detect abnormal heart rhythm. An electrocardiogram (ECG) records the electrical activity of the heart. ECG signal is corrupted by noise signal which restricts the correct diagnose of heart beats. Adaptive filters are used to reduce the noise signal from the ECG signal. In this paper an Adaptive filter has been designed to eliminate the noise from ECG signal...

• We were able to evaluate autonomic nervous activity using near-infrared spectroscopy. Heartbeat-related signals extracted from the signal-processed total hemoglobin data correlated well with R-R intervals. Heart-rate variability parameters had a high correlation between spectroscopy and electrocardiogram.. Near-infrared (NIRS) is widely used for brain-function imaging, but raw signal also enc...

The electrocardiogram signal which represents the electrical activity of the heart provides interference in the recording of the electromyogram signal, when the electromyogram signal is recorded from muscles close to the heart. Therefore, due to impurities, electromyogram signals recorded from this area cannot be used. In this paper, a new method was developed using a combination of artificial ...