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Edge Computing based Multi-channel Active Noise Control System with Virtual-sensing Function for ICU Patient Bed

The purpose of this research is to reduce high noise level for patients in intensive care unit (ICU) environments. The study has designed and developed the auxiliary filter based virtual sensing (AF-VS) active noise control (ANC) system. Filtered x least mean square (FxLMS) algorithm is used to reduce the interfering noise around ICU patients’ heads. A multi-channel feedforward AF-VS ANC algorithm has been implemented in real-time using a digital signal processing system based on edge computing (TMS320C6713). This noise control system has been tested in a real patient bed with recorded ICU noise. The experiment setup has been presented. The real-time experiment results show that AF-VS ANC is a promising solution to solve high noise level problem inside ICU for patients.