Abstract

Info

Title:: Continuous interleaved sampling-based multiple equal-interval stimulation algorithm for cochlear implant

Author(s):: CHEN Yousheng; WANG Jian; CHEN Yan; ZHANG Chunxiao; Shenzhen Institute of Information Technology, Shenzhen 518100, China

Keywords:: ; Keywords: cochlear implant; multiple stimulation mode; equal-interval stimulation; continuous interleaved sampling

Abstract:: Abstract: At present, continuous interleaved sampling algorithm is the basic algorithm architecture for ordinary speech processing strategies in cochlear implant. The algorithm uses filter bank to divide signal to sub frequency bands, corresponding to stimulating electrodes. During a fixed time, only one electrode is working and stimulating the auditory nerves for reducing the mutual interference between electrodes. The continuous interleaved stimulating method has important application prospect for it can provide a continuous equal-interval stimulating mode, which is advantageous in increasing stimulating signal information and avoiding the current interference between adjacent electrodes. Herein we research the algorithm frame of continuous interleaved sampling-based multiple equal-interval stimulation algorithm, put forward its engineering realization and further analyze its algorithm features and parameter characteristics in order to provide the basis of further application research of multiple stimulating algorithm in cochlear implant. Meanwhile, the mismatch analysis used in this research is helpful for the stimulation mode selection in engineering realization. The proposed multiple equal-interval stimulation algorithm provides a practical method for engineering realization.