A wavelet denoising approach for signal action isolation in the ear canal.
The goal of this work was to develop and implement a new filtering strategy to denoise acoustic signals in the ear canal resulting from voluntary movement of the tongue (as a method of generating control input), as well as from other active actions, (speech, eating, drinking, smoking), and passive actions (swallowing, adjusting the jaw, physiological activity). The strategy is based on a denoising wavelet shrinkage approach that separates rhythmic bursting activity and white noise representing sustained tonic activity. While past work has addressed the discrimination of voluntary TMEP signals from one-another, no work has addressed acoustic artefact rejection within the ear. The results described here, combined with our past work in isolating critical components of tongue movement ear pressure (TMEP) signals, provide a basis for discriminating voluntary and involuntary actions of the tongue by monitoring pressure in the ear. At this time, the system has worked in real-time for assistive device control.
Vaidyanathan
Ravi
R
Department of Mechanical Engineering, University of Bristol, UK. r.vaidyanathan@bristol.ac.uk
Wang
Shouyan
S
Gupta
Lalit
L
D001307:Auditory Perception / Q000502:physiology*; D001309:Auditory Threshold / Q000502:physiology; D001844:Bone Conduction / Q000502:physiology; D004423:Ear / Q000033:anatomy & histology; D004424:Ear Canal / Q000502:physiology*; D006801:Humans; D008953:Models, Anatomic; D015233:Models, Statistical; D009622:Noise / Q000517:prevention & control*; D010898:Pitch Perception / Q000502:physiology; D011571:Psychoacoustics; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013018:Sound Spectrography; D014059:Tongue / Q000033:anatomy & histology