Ear Field Adaptive Noise Control for Snoring:An Real-time Experimental Approach

作     者：Lichuan Liu Karunakar Reddy Pottim Sen M.Kuo 

作者机构：IEEE the Electrical Engineering DepartmentNorthern Illinois University the Department of Electrical EngineeringChung Yuan Christian University 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2019年第6卷第1期

页      面：158-166页

核心收录：

学科分类：1002[医学-临床医学] 10[医学] 

主　　题：Active noise control (ANC) audio integrated ANC ear field filtered-X least mean square (FXLMS) snore multi-channel 

摘      要：In this paper, an active noise control(ANC) system is developed to provide an effective and non-intrusive solution for reducing loud snoring to provide a quiet environment for a snorer s bed partner. An adaptive least mean square(LMS)algorithm optimized for different kinds of snore signals is introduced and theoretically analyzed. Also, a residual noise masking approach is proposed to further reduce the effect of the snore noise without interfering with the LMS algorithm. Computer simulations followed by real-time experiments are conducted to demonstrate the feasibility of the snore ANC systems based on a pillow setup. For the optimum effect based on the characteristics of human hearing, the performance of the proposed approach is evaluated by using the multi-channel feedforward ANC systems based on the filtered-X least mean square(FXLMS) *** with a traditional headboard setup for snoring noise control, the proposed snore ANC systems optimized for ear field operation yield much higher noise reduction around the ears of the snorer s bed partner.