Excessive noise in neo-natal care units and inside incubators can have a number of detrimental effects on an infant's health. This paper presents a novel, audio-integrated approach to achieving active noise control (ANC) for infant incubators. This paper also presents the implementation of the robust, nonlinear filtered-X least mean M-estimate algorithm, for reducing impulsive interference in incubators. The healthcare application is further enhanced by integrating the "womb effect", i.e., by using intrauterine and maternal heart sounds, proven to be beneficial to infant health, for masking the residual noise. A computer model for audio-integrated noise cancellation utilizing experimentally measured transfer functions is developed for simulations using real medical equipment noise.Index Terms -Adaptive noise control, infant incubators, least mean M-estimate algorithm, womb effect, nonlinear adaptive algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.