A Survey of Interference Cancellation in Biosignals

Interference cancellation is widely used in a number of application such as acoustic and speech signal processing, data communication, biological signal acquisition etc. Many papers with different approaches have been reported to cancel interferences in biosignals. This paper provides a survey of existing methods for interference cancellation in ECG signal, FECG signal, EEG signal, and EMG signal, and also includes the survey of interference cancellation using some AI techniques. The outline of the methods used for interference cancellation is shown in Figure 2.1. Interference cancellation in biosignals can be implemented using non-adaptive and adaptive methods. Techniques based on prior knowledge of the signal and the noise characteristics such as averaging, correlation etc have been widely used for interference cancellation in biosignals. But the drawback of non-adaptive techniques is that they are time invariant in nature. This problem has been overcome by the adaptive methods, which comprise the AI techniques. This paper provides the detailed survey of interference cancellation in different biosignals.