Electrocardiogram (ECG) is a technique of understanding the functioning of heart. Each
segment of the ECG signal is significant for the detection of different heart problems …

Although cascaded multistage adaptive noise cancellers have been employed before by
researchers for multiple artifact removal from the ElectroCardioGram (ECG) signal, they all …

ECG signals capture the electrical activity of the heart and can be used to determine its
health. The P-QRS-T morphological features of the ECG may be used to identify a variety of …

In order to improve the angular resolution of direction-of-arrival (DOA) estimation based on
portable microphone at low signal-noise-ratio (SNR), this paper proposes a new high …

Electrocardiogram (ECG) signals have been used to monitor and diagnose signs of
cardiovascular disease and abnormal signals about the human body. ECG signals are …

ECG devices are increasingly used in the monitoring and timely detection of cardiovascular
abnormalities. One of the biggest challenges for ECG device designers is to eliminate noise …

In this paper, Neuro-Fuzzy Friction Estimation Models (NFFEM) are developed to estimate
the joint friction coefficients in a Triple Link Rotary Inverted Pendulum (TLRIP) system and …

Removal of noise in ECG signal is an important aspect for the processing and analysis of
signal. Since ECG is a low frequency signal, it can easily be corrupted by the external noise …

In the recent past there is a rapid development in the field of digital technology especially in
signal processing and image processing based applications Excellent performance high …

Electrocardiogram (ECG) is a critical type of biological signal that brings significant data
about the patients. The morphological structure of ECG signals is usually distorted by the …