title: Adaptive cancellation technique in processing myoelectric activity of respiratory muscles.
abstract: Spectral analysis of myoelectric activity of the chest muscles is a promising diagnostic tool for respiratory diseases. Reduction of the corrupting cardiac activity from the recorded myoelectric activity of the chest muscles is essential because of the spectral overlap of both the signals. The adaptive noise cancellation technique was used to reduce the interfering cardiac activity from the recorded myoelectric activity. The adaptive noise canceller implemented in a transversal structure was found to successfully reduce the corrupting cardiac activity. This paper describes the cancellation of the corrupting cardiac activity from the recorded myoelectric activity using adaptive noise cancellation technique and the characteristic features of spectra of EMG signals.
authors.affiliation: Department of Electrical and Computer Engineering, Osmania University, Hyderabad, India.
authors.forename: P
authors.initials: P
authors.lastname: Akkiraju
authors.forename: D C
authors.initials: DC
authors.lastname: Reddy
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D004566:Electrodes; D004576:Electromyography; D006801:Humans; D012016:Reference Values; D012132:Respiratory Muscles / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted