JOURNAL ARTICLE
Duplex wireless communication integrated multi-channel active noise control system for ICU patient's bed.
Published In: Noise Control Engineering Journal, 2026, v. 74, n. 1. P. 36 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Liu, Lichuan; Su, Qiang; Jiang, Chao 3 of 3
Abstract
This paper presents the design and implementation of a wireless communication integrated active noise control (ANC) system to mitigate harmful noise for ICU patients and provide social interaction among patients and their family members. A multi-channel feedforward ANC system employing the filtered-x least mean square (FxLMS) algorithm was designed by using the Hill-Rom patient bed as a test platform, then deployed based on a TMS320 DSP C6713 digital signal processing system. The system was evaluated by computer simulation first, then tested on a mimic ICU noisy environment against narrowband multi-tone noise, wideband white noise, and recorded ICU noise. Both simulation and experimental results demonstrate significant noise reduction of 10-30 dB, highlighting ANC as a promising solution for addressing high noise levels in ICUs. To tackle social isolation among ICU patients, we propose integrating a duplex wireless communication system based on Gaussian phase shift keying (GPSK) and frequency hopping spectrum spreading (FHSS) with the ANC framework, enabling social interaction with family and friends. This wireless-integrated ANC (WiANC) system was implemented and tested, achieving a 30 dB signal-to-noise ratio for speech signals. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Noise Control Engineering Journal. 2026/01, Vol. 74, Issue 1, p36
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2026
- ISSN:07362501
- DOI:10.3397/1/37744
- Accession Number:192681635
- Copyright Statement:Copyright of Noise Control Engineering Journal is the property of Institute of Noise Control Engineering of the USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.