title: A practical method of predicting the loudness of complex electrical stimuli.
abstract: The output of speech processors for multiple-electrode cochlear implants consists of current waveforms with complex temporal and spatial patterns. The majority of existing processors output sequential biphasic current pulses. This paper describes a practical method of calculating loudness estimates for such stimuli, in addition to the relative loudness contributions from different cochlear regions. The method can be used either to manipulate the loudness or levels in existing processing strategies, or to control intensity cues in novel sound processing strategies. The method is based on a loudness model described by McKay et al [J. Acoust. Soc. Am. 110, 1514-1524 (2001)] with the addition of the simplifying approximation that current pulses falling within a temporal integration window of several milliseconds' duration contribute independently to the overall loudness of the stimulus. Three experiments were carried out with six implantees who use the CI24M device manufactured by Cochlear Ltd. The first experiment validated the simplifying assumption, and allowed loudness growth functions to be calculated for use in the loudness prediction method. The following experiments confirmed the accuracy of the method using multiple-electrode stimuli with various patterns of electrode locations and current levels.
authors.affiliation: Department of Otolaryngology, The University of Melbourne, 384-388 Albert Street, East Melbourne 3002, Australia. colette@unimelb.edu.au
authors.forename: Colette M
authors.initials: CM
authors.lastname: McKay
authors.forename: Katherine R
authors.initials: KR
authors.lastname: Henshall
authors.forename: Rebecca J
authors.initials: RJ
authors.lastname: Farrell
authors.forename: Hugh J
authors.initials: HJ
authors.lastname: McDermott
mesh_terms: D000328:Adult; D001309:Auditory Threshold; D003054:Cochlear Implants; D006801:Humans; D008144:Loudness Perception; D008432:Mathematical Computing; D012984:Software; D013018:Sound Spectrography; D014584:User-Computer Interface