ECG Enhancement by Adaptive Cancellation of Electrosurgical Interference

Adaptive Interference Cancellation of ECG Signals

As an important biological signal, electrocardiogram (ECG) signals provide a valuable basis for the clinical diagnosis and treatment of several diseases. However, its reference significance is based on the effective acquisition and correct recognition of ECG signals. In fact, this mV-level weak signal can be easily affected by various interferences caused by the power of magnetic field, patient...

Enhancement of Fetal Ecg Signal Using Adaptive Noise Cancellation

Fetal heart rate monitoring yields vital information about the fetus health and can support medical decision making in critical situations. The Fetal Electro Cardio Gram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the fetus, so that an early diagnosis of any cardiac defects before delivery increases the effectiveness of t...

Adaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal

Suppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filterin...

Adaptive subarray design for interference cancellation

A method for designing near-optimal, tapered subarrays for adaptive interference cancellation is proposed. The limited aperture or limited element feature of these subarrays enables a low-complexity hardware implementation of a partially adaptive array. This approach optimizes canceller performance for a given number of beams and a given number of elements per beams.

Adaptive Multistage Parallel Interference Cancellation for CDMA